ADDENDUM NO. 1 DATE: July 29, 2016

Transcription

1 ADDENDUM NO. 1 RFP-DOT-16/ PM FLORIDA DEPARTMENT OF TRANSPORTATION ADDENDUM NO. 1 DATE: July 29, 2016 RE: RFP NUMBER: RFP-DOT-16/ PM RFP TITLE: Treasure Coast Regional Household Travel Survey The following questions have been made regarding the above referenced project. 1. Question: Would there be a copy of the based methodology and questionnaire of the recent Southeast Florida Regional Household Travel Study (SEF-HTS) and the PMP of SEF-HTS? 1. Answer: Please find a copy attached of the Southeast Florida Regional Household Travel Study (SEF- HTS) and the PMP of SEF-HTS. Proposers must acknowledge receipt of this Addendum by completing and returning to the Procurement Office, by no later than the time and date of the bid/proposal opening. Failure to do so may subject the proposer to disqualification. Proposer Address Submitted by (Signature) Patricia Moore Procurement Agent 1

2 Household Survey Sampling Plan Table of Contents TABLE OF CONTENTS... I 1.0 INTRODUCTION ANALYZING REGIONAL SOCIODEMOGRAPHICS FOR THE SAMPLING PLAN Household Size Number of Workers Household Vehicle Ownership Ethnicity SAMPLING APPROACH FOR THE 2015 HTS Assembling Data Percentage Share Calculations Creating Percentile Scores Defining Area Types Selecting Area Types SAMPLING PLAN FOR THE 2015 HTS Describing the Area Types Sampling Targets Implementation of the Sampling Plan Draft Version 1: November 19, 2015 Page i

3 Household Survey Sampling Plan 1.0 Introduction The 2015 Southeast Florida Regional Travel Survey (RTS) will collect detailed travel data from a sample of 5,000 households across Miami Dade, Broward and Palm Beach counties. The data collected from the HTS will be used to develop activity based travel demand models that forecast travel behavior based on population socio demographics, land use characteristics, and transportation services and infrastructure. To support this model development effort, the RTS must be designed to efficiently obtain a representative sample of households across multiple dimensions. Given that household surveys are relatively expensive and are often conducted once every decade or more, it is vital that the HTS be designed in a systematic fashion so that it provides long lasting value to the region s travel demand modeling, planning and transportation data community. The design stages of the household survey effort can be broken down into four diverse, yet equally important steps. Sampling Plan which establishes household targets across different geographic and sociodemographic strata; Sampling Frame which is used to contact the region s households for participation in the survey effort; Questionnaire design which will be used to collect the most relevant information using diary, web, and GPS based survey instruments; and Pretest implementation which assesses the effectiveness of the instrument, the frame, and the plan in meeting the requirements of the household survey effort. This memorandum focuses on the first of the four elements, the design of the sampling plan. In this memorandum, we outline the regional sociodemographics, outline the approach for the 2015 HTS and then describe the detailed stratified sampling plan along with specific targets. Draft Version 1: November 19, 2015 Page 2

4 Household Survey Sampling Plan 2.0 Analyzing Regional Sociodemographics for the Sampling Plan The HTS will be designed as a stratified sample because this method is both efficient and allows for controlling the number of households along key attributes, in particular those that are relatively infrequent in the regional population but important to capture in large enough numbers to support model development. Similarly, stratified sampling allows for controlling for households that could be overrepresented in the final sample because they tend to participate in these efforts at higher rates. We propose using the most important sociodemographic variables from a travel behavior standpoint in the development of the sampling plan. These variables have also been used in the sampling plans for household travel surveys in other regions. They include: Household size; Number of workers in household; Auto ownership; and Ethnicity. The American Community Survey (ACS) is the most comprehensive dataset to measure regional sociodemographics. The year ACS data were downloaded at a Census Block Group level to perform detailed assessments of the Southeast Florida regional socio demographics. 2.1 Household Size The number of people in a household is a principal determinant of the number of trips produced. Therefore, this variable will be an essential part of the sampling plan. Household size data is readily available via the ACS dataset and was synthesized at a Block Group level. In the development of the sampling plan, we have recommended oversampling larger households because: Some key activities such as escort, accompany and joint travel are much more prevalent in larger households than in other households; and Larger households are expected to have lower response rates in part due to the difficulty of providing so much information and also because respondents have less free time to participate in exhaustive surveys. Therefore, oversampling them will provide enough flexibility from a modeling perspective. Draft Version 1: November 19, 2015 Page 3

5 Household Survey Sampling Plan Table 1: Household Size by County County 1 Member 2 Members 3 Members 4 Members 5+ Members Miami Dade 214, , , ,730 91,729 Broward 199, , ,926 88,973 57,573 Palm Beach 166, ,703 70,244 56,357 38,353 % of County Miami Dade 26% 29% 19% 15% 11% Broward 30% 31% 16% 13% 9% Palm Beach 32% 37% 13% 11% 7% Key findings include: Almost a quarter of households in the region have 4 or more members, though the share is far lower in Palm Beach County. In one third of Census Block Groups, a majority of households have at least 3 members. 2.2 Number of Workers Like total household size, the number of workers strongly influences the number of trips, specifically work trips and tours: Travel patterns of workers, including times of day and activities, are often shaped around the primary work activity, both spatially and temporally; The travel patterns and activity participation of other household members tend to be coordinated with the worker(s) patterns, and Escorting activities can be both driven by the work schedule of the adults in the household, or the drivers of certain work travel choices, depending on the degree of flexibility afforded by the place of work. Households that have more workers than automobiles available also have complex modal choices that are very relevant from a modeling context. Therefore, oversampling such households is important to ensure that this variety of behaviors is captured in the sample. On the other hand, households without workers are more likely to have adults that stay home for all or a large part of the day, which increases the likelihood that they will respond to the survey. Given that these households contribute relatively little information from a travel perspective, they need not be sampled in large numbers. Draft Version 1: November 19, 2015 Page 4

6 Household Survey Sampling Plan Table 2: Household Workers by County County 0 Workers 1 Workers 2 Workers 3+ Workers Miami Dade 206, , ,912 61,433 Broward 171, , ,436 41,080 Palm Beach 185, , ,746 25,018 % of County Miami Dade 25% 41% 27% 7% Broward 26% 41% 27% 6% Palm Beach 35% 37% 24% 5% Key findings include: Over a third of all households in Palm Beach County have no workers. This share is about 25 percent in Miami Dade and Broward Counties. A majority of households in all three counties have either 1 or 2 workers. Very few households have 3 or more workers. 2.3 Household Vehicle Ownership Increasing auto ownership generally increases mobility and provides households with an opportunity to make more trips, travel longer, and have more complex travel tours. On the other hand, using transit, which has lower level of service outside of peak hours, or sharing vehicles limits household travel decisions outside peak service hours. From a modeling perspective, households that do not own any vehicles and are dependent on transit and other shared services for movement must be specifically targeted since they are often underrepresented in a drawing of a random sample. Therefore, using this variable to develop the sampling plan is recommended essential, among other reasons to obtain sufficient transit tour and possibly also shared car service observations. Households with good access to transit tend to use it in larger numbers. Therefore, the identification of transit dependent households for sampling purposes can be informed by the location of transit stops and stations, in addition to auto ownership. Vehicle ownership has been reliably used in transportation surveys as a proxy for income and mobility measures. An advantage to focusing targets on vehicles is that people are more willing to report it in surveys than income. Draft Version 1: November 19, 2015 Page 5

7 Household Survey Sampling Plan Table 3: Households Vehicle Ownership Distribution by County County 0 Vehicle 1 Vehicle 2 Vehicle 3+ Vehicle Miami Dade 94, , , ,859 Broward 51, , ,814 90,554 Palm Beach 35, , ,774 61,962 % of County Miami Dade 11% 40% 35% 14% Broward 8% 42% 36% 14% Palm Beach 7% 44% 38% 12% Key findings include: The distribution of household vehicle ownership is very similar in Broward County and Palm Beach County, while Miami Dade County has more households with zero vehicles. Overall, the vast majority of households (over 90%) own vehicles. 2.4 Ethnicity The study region has a large Hispanic population. Traditionally, Hispanic households have responded at lower rates in household surveys than the rest of the population. If the final dataset collected from the region is to be truly representative of the residents in the region, special care must be taken to obtain enough samples from the region s Hispanic population. Table 4: Hispanic Population Distribution County Hispanic Population Hispanic Share Miami Dade 1,653,390 65% Broward 461,392 26% Palm Beach 261,279 20% The majority of the region s population that identifies as Hispanic is in Miami Dade County, where they are the majority of the population. There are many Census Block Groups in Miami Dade County with very high concentrations of people that identify as Hispanic. Draft Version 1: November 19, 2015 Page 6

8 Household Survey Sampling Plan 3.0 Sampling Approach for the 2015 HTS The RFP for the 2015 HTS describes household targets for each County, but there is no further breakdown of the County level targets. Breaking down the targets within each County is important to ensure that targets can be tracked at a sub County level to ensure representativeness of the sample. For the 2015 HTS survey, the study team developed four districts for each County. This number allows for enough differentiation within the region; without diluting the targets for each district too much. These districts were not defined by contiguous boundaries; rather they were defined by the distribution of household demographics within each district. From a sampling approach, these districts are called Area Types. This section outlines the approach to identify these Area Types. 3.1 Assembling Data The four Area Types were identified using the ACS data at a Census Block Group Level. The following variables were synthesized for the creation of the Area Types using the ACS data: Key demographic data such as household size, household vehicles, household income, and ethnicity (at an individual level) were downloaded for the Census Block Groups; Other demographic data such as household workers, cross tabulation of workers and vehicles, and ACS journey to work (JTW) mode shares (at home end) were downloaded at a Census Tract level since these data are not available at a Census Block Group Level 1. Transit stop data were also downloaded and assigned to the appropriate Block Group. Stop density was calculated within each Block Group to account for differences in the size of the Block Groups. 3.2 Percentage Share Calculations The percentage incidence for several key variables were calculated at a Block Group Level. The variables for which these percentage incidences were calculated include: Zero Auto Households which have greater reliance on transit and shared modes of transportation; Auto deficient 2 households calculated two ways one that includes zero auto households and another that does not include zero auto households; 1 Variables downloaded at the tract level were disaggregated to the individual Block Groups by assuming similar distribution holds true for each Block Group within the tract. 2 A household was auto deficient if the number of vehicles owned by the household was less than the number of workers in the household Draft Version 1: November 19, 2015 Page 7

9 Household Survey Sampling Plan Large Households with at least three members that often have lower response rates to household travel surveys; Hispanic Population; and Transit and non motorized mode usage at the home end using the ACS JTW. 3.3 Creating Percentile Scores Each Block Group was then ranked on the basis of a percentile score for each of the variables described above using the following criteria: Block Groups that belonged to the 0 25 percentile were given a score of 1; Block Groups that belonged to the percentile were given a score of 2; Block Groups that belonged to the percentile were given a score of 3; and Block Groups that belonged to the percentile were given a score of 4. These percentile scores were calculated separately for each County to ensure that each County has its own distinct percentile score driven by the demographics and usage patterns of that County. As an example, the percentile scores for the Transit and Non Motorized Shares using the ACS JTW data are presented below. As the Table indicates, the percentage shares for Transit Usage at each of the percentile break points vary between the three Counties. Therefore, calculating the percentile scores for all counties jointly could result in erroneous assignment of Area Types to Block Groups. Table 5: Percentile Scores for the ACS JTW Transit and Non Motorized Share 3 County 25 Percentile 50 Percentile 75 Percentile 100 Percentile Miami Dade 2.58% 5.60% 11.69% 72.28% Broward 1.26% 3.87% 7.81% 50.00% Palm Beach 0.79% 2.37% 5.78% 40.09% 3.4 Defining Area Types Area Types were then developed using a combination of the percentile scores across different variables. As discussed above, the Area Types were purely driven by the demographics and transit demand/supply variables and as such may not be contiguous. The design of the Area Types was driven by two key considerations: 3 It must be noted that no percentage shares were developed for the transit stop density; rather the stop density numbers were used to calculate the percentile scores. Draft Version 1: November 19, 2015 Page 8

10 Household Survey Sampling Plan Select Area Types in a way that hard to reach populations may be easily identified; and Each Area Type must exhibit a certain degree of homogeneity among the dimensions of greatest interest. As part of the selection process, several area types were tested and analyzed. A full list is included below: High Transit Demand Area Type which includes all Block Groups where the Transit ACS JTW Percentile Score was 4. Good Transit Supply Area Type which includes all Block Groups where the Transit Stop Density Percentile Score was 4 4. High Transit Demand and High Transit Supply Area Type which includes all Block Groups where both the Transit ACS JTW Percentile Score & the Transit Stop Density Percentile Score were 4. High Transit Dependent Area Type which includes all Block Groups where the Zero Auto Percentile Score was 4. High Auto Deficit Household Area Type which includes all Block Groups where the Auto Deficit Percentile Score was 4. High Hispanic Area Type which includes all Block Groups where the Hispanic Percentile Score was 4. Large Household Area Type which includes all Block Groups were the Large Household Percentile Score was 4. Large Hispanic Household Area Type which includes all Block Groups were the Large Household Percentile Score and the Hispanic Percentile Score were both 4. As can be expected, several Block Groups were included in the highest percentile score for several different variables. So, in developing the Area Type variables, a series of hierarchical rules were established to ensure that the most hard to reach populations are identified first: All Block Groups that have High Transit Scores (either Transit Demand or Transit Supply or both) are identified first. Next, Block Groups that have high 0 auto/auto deficit are identified 5. Next, Block Groups that have high Hispanic Score are identified. 4 This also includes downtown areas where several transit routes converge. 5 If two BGs have both High Transit and High Auto Def score, then they are put in the high Transit Score Area Type Bin Draft Version 1: November 19, 2015 Page 9

11 Household Survey Sampling Plan Finally, Block Groups with high Large Household Score are identified. All remaining Block Groups are treated as Rest. 3.4 Selecting Area Types Using the Area Type definitions described above, the study team tested several different combinations to identify which Area Type would work best in capturing the regional demographics of greatest interest during the survey. Based on the team s analysis, we recommend the following set of Area Types: High Transit Demand and Good Transit Supply Area Type which includes all Block Groups where both the Transit ACS JTW Percentile Score & the Transit Stop Density Percentile Score were 4; High Auto Deficit Household Area Type which includes all Block Groups where the Auto Deficit Percentile Score was 4; Large Hispanic Household Area Type which includes all Block Groups were the Large Household Percentile Score and the Hispanic Percentile Score were both 4; and All Other Block Groups. The extent of these Area Types is discussed in the next section. Draft Version 1: November 19, 2015 Page 10

12 Household Survey Sampling Plan 4.0 Sampling Plan for the 2015 HTS This section describes the proposed sampling plan for the 2015 HTS and covers two key topics: Detailed Description of the Area Types for Each County; and Detailed Sampling Targets for the HTS. 4.1 Describing the Area Types As discussed in Section 3, four Area Types were selected for each County. Table 6 describes the number of Block Groups in each of the Area Types for each County while Table 7 shows the number of households in each Area Type. Table 6: Number of Block Groups in Each Area Type County High Transit Area Type Auto Deficit Area Type Large Hispanic Household Area Type Everything Else Area Type Miami Dade Broward Palm Beach Table 7: Total Households in Each Area Type County High Transit Area Type Auto Deficit Area Type Large Hispanic Household Area Type Everything Else Area Type Miami Dade 101, , , ,826 Broward 69, , , ,909 Palm Beach 49,003 81,008 96, ,250 Figures 1 4 describe the extent of each of these Area Types in Miami Dade, Broward, and Palm Beach Counties. Draft Version 1: November 19, 2015 Page 11

13 Household Survey Sampling Plan Figure 1: Area Type Definitions in Miami Dade County Draft Version 1: November 19, 2015 Page 12

14 Household Survey Sampling Plan Figure 2: Area Type Definitions in Broward County Draft Version 1: November 19, 2015 Page 13

15 Household Survey Sampling Plan Figure 3: Area Type Definitions in Palm Beach County Draft Version 1: November 19, 2015 Page 14

16 Household Survey Sampling Plan Figure 4: Area Type Definitions in the Tri County Region Draft Version 1: November 19, 2015 Page 15

17 Household Survey Sampling Plan Distribution of households by Area Type and County are presented in the following Tables below. Table 8: Miami Dade County Distribution of Households by Area Type Area Type/Household Size Total High Transit Demand & Supply 40,695 27,780 14,647 18, ,841 High Auto Deficient 41,049 35,795 23,595 27, ,338 Large Hispanic Households 19,878 38,833 46,609 79, ,026 Other Block Groups 112, ,080 70,781 91, ,826 Area Type/Household Vehicles Total High Transit Demand & Supply 28,254 49,306 19,803 4, ,841 High Auto Deficient 29,996 57,025 31,552 9, ,338 Large Hispanic Households 6,786 50,756 81,330 46, ,026 Other Block Groups 29, , ,947 54, ,826 Area Type/Household Income 0 25k 25 50k 50 75k k > 100k Total High Transit Demand & Supply 48,908 27,192 12,167 5,575 7, ,841 High Auto Deficient 59,848 35,340 16,769 7,445 8, ,338 Large Hispanic Households 35,587 45,053 35,434 26,771 42, ,026 Other Block Groups 107, ,759 71,929 43,438 86, ,826 Area Type/Household Workers Total High Transit Demand & Supply 33,343 44,096 19,366 5, ,841 High Auto Deficient 43,752 49,827 26,865 7, ,338 Large Hispanic Households 31,323 70,779 62,439 20, ,026 Other Block Groups 97, , ,242 28, ,826 Draft Version 1: November 19, 2015 Page 16

18 Household Survey Sampling Plan Table 9: Broward County Distribution of Households by Area Type Area Type/Household Size Total High Transit Demand & Supply 26,637 21,656 8,589 12,834 69,716 High Auto Deficient 42,469 34,162 16,490 20, ,941 Large Hispanic Households 16,202 33,595 32,672 57, ,892 Other Block Groups 114, ,809 51,175 55, ,909 Area Type/Household Vehicles Total High Transit Demand & Supply 10,121 36,411 17,507 5,677 69,716 High Auto Deficient 17,914 56,194 30,839 8, ,941 Large Hispanic Households 3,588 33,353 67,378 35, ,892 Other Block Groups 19, , ,090 40, ,909 Area Type/Household Income 0 25k 25 50k 50 75k k > 100k Total High Transit Demand & Supply 24,408 19,522 11,714 5,237 8,835 69,716 High Auto Deficient 42,386 35,418 17,305 9,054 9, ,941 Large Hispanic Households 16,202 26,680 26,761 19,551 50, ,892 Other Block Groups 73,998 85,540 62,730 43,000 74, ,909 Area Type/Household Workers Total High Transit Demand & Supply 21,904 31,010 14,026 2,776 69,716 High Auto Deficient 40,761 44,254 22,558 6, ,941 Large Hispanic Households 19,237 55,319 51,507 13, ,892 Other Block Groups 89, ,631 89,345 18, ,909 Draft Version 1: November 19, 2015 Page 17

19 Household Survey Sampling Plan Table 10: Palm Beach County Distribution of Households by Area Type Area Type/Household Size Total High Transit Demand & Supply 18,960 15,452 6,483 8,108 49,003 High Auto Deficient 29,705 24,194 10,710 16,399 81,008 Large Hispanic Households 13,247 26,841 20,862 35,796 96,746 Other Block Groups 104, ,216 32,189 34, ,250 Area Type/Household Vehicles Total High Transit Demand & Supply 7,640 24,962 12,817 3,584 49,003 High Auto Deficient 12,611 39,987 21,167 7,243 81,008 Large Hispanic Households 2,299 25,411 47,107 21,929 96,746 Other Block Groups 12, , ,683 29, ,250 Area Type/Household Income 0 25k 25 50k 50 75k k > 100k Total High Transit Demand & Supply 18,605 13,858 7,323 3,472 5,745 49,003 High Auto Deficient 29,879 24,857 12,853 6,099 7,320 81,008 Large Hispanic Households 13,369 20,115 18,698 13,436 31,128 96,746 Other Block Groups 58,240 72,776 54,256 35,996 77, ,250 Area Type/Household Workers Total High Transit Demand & Supply 16,593 20,563 9,547 2,299 49,003 High Auto Deficient 32,968 28,161 15,775 4,103 81,008 Large Hispanic Households 17,919 37,087 33,937 7,803 96,746 Other Block Groups 117, ,232 64,487 10, ,250 Draft Version 1: November 19, 2015 Page 18

20 Household Survey Sampling Plan 4.2 Sampling Targets The previous sub section outlines the sociodemographics in each of the four Area Types. In this section, the specific sampling targets for each Area Type and County combination are discussed along with a description of survey targets. The motivation behind the development of the sampling targets is as follows: Ensure that there about 50 households in each sampling target cell 6. Collapse cells, where necessary, if there are not a lot of households in that cell. Oversample the Area Types that contain a high share of hard to reach populations such as transit riders, auto deficient households, and Hispanic populations. While household income will be tracked to ensure that the distribution of household income among retrieved households is reasonable, we do not recommend using household income as sampling targets primarily because there are likely to households that do not provide this information owing to privacy concerns. Similarly, we do not recommend setting targets for the ethnicity question since ethnicity is an individual variable and difficult to convert to a household level where the survey will be tracked and monitored. Overall, the sampling targets for each of the three counties in the sampling plan are as follows: Miami Dade County 0.28% Broward County 0.23% Palm Beach County 0.22% By identifying the households in each Area Type, the study team was able to develop separate sampling targets for every combination of Area Type and County while matching overall sampling targets for each County. Key points of interest include: For Miami Dade County, the following points are of greatest relevance: The sampling rate for the High Transit Usage and Auto Deficit Household Area Types are much higher than the overall sampling rate for the region. This is done specifically to target more households from the areas of greatest interest from a modeling perspective. In total, 387 households are targeted from the High Transit Usage Area Type, 449 households are targeted from the Auto Deficit Household Area Type, 555 households 6 In other studies, having 50 households in a sampling cell has proven sufficient to support model estimation. Draft Version 1: November 19, 2015 Page 19

21 Household Survey Sampling Plan are targeted from the Large Hispanic Household Area Type, and 959 households from all remaining Block Groups. Cells pertaining to households with three or more vehicles were combined for the High Transit Usage and Auto Deficit Household Area Types. Cells for households with zero vehicles were combined in the Large Hispanic Households Area Type and in the Other Block Groups Area Type. Cells pertaining to households with three or more workers were combined for the High Transit Usage and Auto Deficit Household Area Types. Cells pertaining to the highest two income categories were combined in the High Transit Usage Area Type. The same holds true for the Auto Deficit Household Area Type as well. Draft Version 1: November 19, 2015 Page 20

22 Household Survey Sampling Plan Table 11: Miami Dade County Sampling Targets by Area Type Area Type Sampling Rate High Transit Demand & Supply 0.38% High Auto Deficient 0.35% Large Hispanic Households 0.30% Other Block Groups 0.23% Area Type/Household Size High Transit Demand & Supp High Auto Deficient Large Hispanic Households Other Block Groups Area Type/Household Vehic High Transit Demand & Supp High Auto Deficient Large Hispanic Households Other Block Groups Area Type/Household Work High Transit Demand & Supp High Auto Deficient Large Hispanic Households Other Block Groups Area Type/Household Incom 0 25k 25 50k 50 75k k > 100k High Transit Demand & Supp High Auto Deficient Large Hispanic Households Other Block Groups Draft Version 1: November 19, 2015 Page 21

23 Household Survey Sampling Plan For Broward County, the following points are of greatest relevance: The sampling rate for the High Transit Usage and Auto Deficit Household Area Types are much higher than the overall sampling rate for the region. This is done specifically to target more households from the areas of greatest interest from a modeling perspective. In total, 244 households are targeted from the High Transit Usage Area Type, 319 households are targeted from the Auto Deficit Household Area Type, 316 households are targeted from the Large Hispanic Household Area Type, and 621 households from all remaining Block Groups. Cells for smaller households (2 or less members) were combined in the Large Hispanic Household Area Type. Cells pertaining to large households (3 or more members) were combined for the High Transit Usage Area Type. Cells pertaining to households with three or more vehicles were combined for the High Transit Usage and Auto Deficit Household Area Types. Cells for households with zero vehicles were combined in the Large Hispanic Households Area Type and in the Other Block Groups Area Type. Cells pertaining to households with two and three or more workers were combined for the High Transit Usage Area Type. The same holds true for the Auto Deficit Household Area Type as well. Cells pertaining to the highest two income categories were combined in the High Transit Usage Area Type. The same holds true for the Auto Deficit Household Area Type as well. Cells pertaining to the two lowest income categories were combined for the Large Hispanic Households Area Type. For Palm Beach County, the following points are of greatest relevance: The sampling rate for the High Transit Usage and Auto Deficit Household Area Types are much higher than the overall sampling rate for the region. This is done specifically to target more households from the areas of greatest interest from a modeling perspective. In total, 205 households are targeted from the High Transit Usage Area Type, 292 households are targeted from the Auto Deficit Household Area Type, 212 households are targeted from the Large Hispanic Household Area Type, and 441 households from all remaining Block Groups. Cells pertaining to large households (3 or more members) were combined in the High Transit Usage Area Type. Cells pertaining to small households (2 or less members) were combined in the Large Hispanic Households Area Type. Cells pertaining to zero vehicle households were combined across all Area Types. Draft Version 1: November 19, 2015 Page 22

24 Household Survey Sampling Plan Cells pertaining to households with three or more vehicles were combined for the High Transit Usage and Auto Deficit Household Area Types. Cells pertaining to households with three or more workers were combined for all Area Types. This is because Palm Beach County does not have a lot of households with three or more workers. Cells pertaining to the highest three income categories were combined in the High Transit Usage Area Type. Cells pertaining to the two highest income categories were combined for the Auto Deficit Household Area Type. In the Large Hispanic Households Area Type, cells pertaining to the $50,000 $75,000 and $75,000 $100,000 income ranges were combined. Also in the Large Hispanic Households Area Type, cells pertaining to the two lowest income categories were combined. Draft Version 1: November 19, 2015 Page 23

25 Household Survey Sampling Plan Table 12: Broward County Sampling Targets by Area Type Area Type Sampling Rate High Transit Demand & Supply 0.35% High Auto Deficient 0.28% Large Hispanic Households 0.23% Other Block Groups 0.18% Area Type/Household Size High Transit Demand & Supply High Auto Deficient Large Hispanic Households Other Block Groups Area Type/Household Vehicles High Transit Demand & Supply High Auto Deficient Large Hispanic Households Other Block Groups Area Type/Household Workers High Transit Demand & Supply High Auto Deficient Large Hispanic Households Other Block Groups Area Type/Household Income 0 25k 25 50k 50 75k k > 100k High Transit Demand & Supply High Auto Deficient Large Hispanic Households Other Block Groups Draft Version 1: November 19, 2015 Page 24

26 Household Survey Sampling Plan Table 13: Palm Beach County Sampling Targets by Area Type Area Type Sampling Rate High Transit Demand & Supply 0.42% High Auto Deficient 0.36% Large Hispanic Households 0.22% Other Block Groups 0.15% Area Type/Household Size High Transit Demand & Supp High Auto Deficient Large Hispanic Households Other Block Groups Area Type/Household Vehic High Transit Demand & Supp High Auto Deficient Large Hispanic Households Other Block Groups Area Type/Household Work High Transit Demand & Supp High Auto Deficient Large Hispanic Households Other Block Groups Area Type/Household Incom 0 25k 25 50k 50 75k k > 100k High Transit Demand & Supp High Auto Deficient Large Hispanic Households Other Block Groups Draft Version 1: November 19, 2015 Page 25

27 Household Survey Sampling Plan 4.3 Implementation of the Sampling Plan The sampling targets discussed in Tables present the proposed targets for the 2015 Southeast Florida HTS. However, it should be noted that the numbers discussed in each of the cells are unlikely to be met exactly. Rather, we expect the distribution of the final usable survey dataset to follow the patterns outlined in these tables. Listed below are some rules that will be used to track the performance of the survey effort: Cells that have a target of households will be matched as closely as possible to the target listed in the tables. If more samples than required are available in these cells, then we will continue to accept them because they are hard to reach populations. Correspondingly, the team will make a decision, with discussion with the RTTAC MS, on lowering targets in other cells. For all other cells, we expect that the final collected sample will vary no more than 15 percent from the targets outlined in the sampling plan. Care will be taken to not oversample households with less complex travel such as: auto sufficient households, 0 worker households, and smaller households (< 3 members). To ensure this plan is implemented effectively, the study team will provide weekly summaries to the MPO that document the continuous progress of the HTS. This weekly monitoring will allow the team to adjust the operational procedures if the survey effort varies too much from the sampling targets outlined above. Draft Version 1: November 19, 2015 Page 26

28 Project Management Plan Table of Contents 1.0 INTRODUCTION Project Overview Travel Survey Objectives Project Management Plan Maintenance PROJECT ORGANIZATION Project Management Project Management Meetings Roles and Responsibilities COMMUNICATION PROTOCOLS Progress Review Meetings... 7 Coordination / Progress Meetings Main Survey Contact Protocol QUALITY CONTROL PLAN Quality Management Change Procedures Document Control Procedures Quality Review Process Project Deliverables Interview Training Survey Materials Data Security Data Collection Completed Household Sample Verification Data Collection Processing GPS Data Processing Geocoding: Real Time and QA/QC Pilot Survey PROJECT SCHEDULE INVOICE PROCEDURES Progress Reporting Monthly Progress Reports RISK MANAGEMENT Lower than Expected Response Rate Complete Household Definition Poorly Planned Pilot Survey Data Loss Draft Revision 0: October 9, 2015 Page i

29 Project Management Plan Draft Revision 0: October 9, 2015 Page ii

30 Project Management Plan 1.0 Introduction The purpose of the Project Management Plan (PMP) for 2015 Southeast Regional Travel Survey is threefold: 1. Establish the framework for managing and administering this complex household survey project. 2. Specify Project s management procedures and organizational structure. 3. Provide a guideline for the orderly interaction of the multiple agencies and project participants committed to the Project. This PMP is a framework that provides an overview of the management requirements and processes to ensure implementation of an efficient and cost effective project. Certain detailed procedures necessary to fulfill these requirements will be developed separately and are incorporated herein by reference. This PMP includes the following key elements: Project Overview Project organization with a presentation of functional responsibilities; Communications Quality Control Plan procedures and responsibilities; Project Schedule Document review timelines Periodic updates of the plan, especially related to project budget and project schedule, Invoicing procedures Risk Management 1.1 Project Overview Miami Dade Metropolitan Planning Organization (MPO), on behalf of the Broward MPO, Palm Beach MPO, and Florida Department of Transportation (FDOT) Districts Four and Six, is leading an effort to design, test and implement a household travel survey, an attitudinal/preference survey, and a general origin destination (O D) survey to collect detailed information on travel behavior information throughout the Tri County Region (Miami Dade, Broward, and Palm Beach). In 2005, after several years of ad hoc cooperation, the Southeast Florida Transportation Council (SEFTC) was created, under Florida Statutes Chapter , to serve as a formal forum for policy coordination and communication to carry out regional initiatives agreed upon by the MPOs from Broward, Miami Dade, and Palm Beach Counties. SEFTC is the primary policy coordinating body for regional transportation matters. Three MPOs, through SEFTC and in Draft Revision 0: October 9, 2015 Page 1

31 Project Management Plan coordination with FDOT Districts Four and Six, develop and maintain a set of travel forecasting tools and procedures that support county and regional planning efforts, compliance with relevant federal regulations and requirements, and overall, the federal metropolitan planning process. Subsequently, the Regional Transportation Technical Advisory Committee Model Subcommittee (RTTAC MS) was created in 2008 to provide a forum for coordination of modeling activities within the Tri County Region. The RTTAC MS is made up of five voting representatives: one each from Broward MPO, Miami Dade MPO, Palm Beach MPO, and FDOT Districts 4 and 6. As such, the RTTAC MS has overseen the model development and maintenance efforts as part of the 2035 and 2040 LRTP cycles. Beginning with the 2035 LRTP effort, the Tri County Region developed and formally recognized SERPM as the region s travel demand model tool. SERPM was supported by the South Florida Regional Travel Characteristics Survey (SFRTCS) conducted in The SFRTCS comprised of five main elements: (1) a household travel survey; (2) a system wide transit on board survey; (3) a visitor travel survey; (4) a truck movements survey; and, (5) a workplace survey. The information gathered by SFRTCS has been used extensively since 2000 to analyze regional travel patterns and to improve county and regional travel forecasting tools. In the 15 years since SFRTCS was conducted, there have been significant changes in technology, mobility options, and demographics in the Tri County Region. While a number of data sources such as Census Transportation Planning Package (CTPP), Longitudinal Employer Household Dynamics (LEHD), Transit On Board Surveys, and corridor level datasets are available, a number of data gaps remain that can only be addressed through a comprehensive travel survey. This is especially relevant given that the recently adopted version of the SERPM is an Activity Based Model (ABM) which offers a new set of needs and opportunities. The readily available datasets are not adequate to take the full advantage of ABM capabilities. Local information is important to understanding the unique combination of characteristics that relate to the Tri County Region, including changing importance of teleworking, usage of transit and variable priced managed lanes options, effects of attitudes and preferences of Millennials, and usage of non motorized transportation. A full spectrum of activities relevant to regional travel data collection, including a household survey, an attitudinal/preference survey, and an O D survey will be completed under this project. Recent technological advances in survey methods have enabled collection of reliable and representative travel data in more cost effective manners. 1.2 Travel Survey Objectives The goal of this effort is to improve planners ability to assess and predict impact of future projects, policies, and transportation improvements on travel patterns and activities. The Survey objectives are: Draft Revision 0: October 9, 2015 Page 2

32 Project Management Plan 1. To gather and analyze travel activity, attitudes and preferences, and socioeconomic characteristics of persons living in the Tri County Region to support further development of the Southeast Florida Regional Planning Model (SERPM); 2. To act as a resource for development of Five Year Transportation Improvement Programs (TIP), Long Range Transportation Plans (LRTP), and transportation policies of respective MPOs; 3. To develop new performance measures, and their corresponding targets, to meet Moving Ahead for Progress in the 21st Century Act (MAP 21) requirements; 4. To identify trends over a period of time; and, 5. To the extent possible, provide data that can potentially be used for area and corridor level analysis. 1.3 Project Management Plan Maintenance The PMP will be updated as necessary throughout the duration of the project. Requests for change to the PMP should be provided to the Miami MPO Contract Administrator. Once defined, the revision will only occur with the approval of the RTTAC MS subcommittee and within seven (7) business days of such requests. The PMP will also be available in electronic format via the 2015 Southeast Florida Regional Travel Survey ProjectSolve2 website ( to assure that the most current version is continuously available. Draft Revision 0: October 9, 2015 Page 3

33 Project Management Plan 2.0 Project Organization This section of the PMP describes the project organization and staffing approach established for the 2015 Southeast Florida Regional Travel Survey. Topics include project organization and key roles and responsibilities by project team member. Figure 1 presents the organizational structure of the project management team and the key technical leaders. These key team members will be involved on all aspects of the project scope of services and with participation in project management, RTTAC MS and other stakeholder meetings. Figure 1: Organizational Structure of the Project Team 2.1 Project Management The Consultant Project Manager is responsible for assuring the Project Team fulfills the scope of services as outline according to the project schedule. The Consultant Project Manager is the direct point of contact with the Miami MPO throughout the duration of the project. The Deputy Project Manager will also be included in all correspondence and communication to provide a level of redundancy to assure an effective communication process within the project team is achieved. The Project Manger is responsible for project coordination activities between each of the stakeholders and various members of the project team. Draft Revision 0: October 9, 2015 Page 4

34 Project Management Plan 2.2 Project Management Meetings Throughout the duration of the project regular Project Management meetings will be held on a monthly basis. These management meetings will be held to discuss project task activities, administration and coordination issues. An agenda will be prepared and distributed in advance of each meeting. Meeting minutes with action items will be prepared within three days following each meeting. The minutes will identify and track issues, actions and responsibilities and identify date, time, location and attendees. 2.3 Roles and Responsibilities The involvement of the project team according to task and subtask is presented on Table 1. The purpose of this table is to show the delineation of the various task activities and consultant and subconsultant role (lead or support) as related to each activity. Table 1: Roles and Responsibilities by Project Team Member Task Parsons Brinckerhoff Cambridge Systematics Abt SRBI Quest Task 1: Project Coordination and Management Task 1.1: Development of Project Management Plan Task 1.2: Coordination with Contract Administrator Task 1.3: Coordination w/rttac MS, RTTAC and SEFTC Lead Support Support Lead Support Support Lead Support Support Task 1.4: Coordination with Other Stakeholders Lead Support Support Task 2: Household and Attitudinal/Preference Survey Design Task 2.1: Sampling Plan Lead Support Task 2.1.1: Sampling Forms Support Lead Task 2.2: Minimum sample Size Lead Support Task 2.2.1: Complete Household Interview / Complete Sample Support Lead Support Support Task 2.3: Survey Method Support Lead Task 2.3.1: GPS Subsample Support Lead Task 2.3.2: Subsample for Attitudinal/Preference Survey Lead Support Draft Revision 0: October 9, 2015 Page 5

35 Project Management Plan Table 2: Roles and Responsibilities by Project Team Member (Continued) Task 2.3.3: Incentives Lead Task 2.4: Data Collection Period Task 2.4.1: Survey Days Support Lead Task 2.5: Survey Instrument Support Lead Task 3: Household Survey Administration Task 3.1: Administration of Pilot Survey Support Lead Task 3.2: Preparation of Main Survey Support Lead Task 3.3: Data Collection and Entry Support Lead Support Task 3.4: Survey of Non responding Households Lead Task 4: Expansion Household Data Weighting and Lead Task 5: Origin Destination Survey Task 5.1: O D Survey Plan Lead Support Task 5.2: O D Data Collection Lead Support Task 5.3: Processing O D Data Expansion and Post Lead Support Task 5.4: Data Reporting Lead Support Draft Revision 0: October 9, 2015 Page 6

36 Project Management Plan 3.0 Communication Protocols The mission of Project communications is to keep the Project team (internal) and stakeholders (external) informed about significant Project related activity in a timely and proactive manner. Goal: Create awareness and understanding of the Project among all the key stakeholders, specifically: Understanding of the key elements of the Project Understanding of the benefits of the Project Familiarity with timelines for survey design, administration and reporting of results Understanding how the Project results contribute to the development of the SERPM model Strategy: Create a communications protocol that includes: Timely distribution of information to external stakeholders, including information presented during coordination meetings as well as other materials prepared during the project. Communicate regularly with all stakeholders through various methods, such as presentations and e mail. Hold internal team meetings via teleconference on a frequent basis to coordinate the work, review progress, and plan ahead This protocol will be executed through a series of project coordination and stakeholder meeting throughout the duration of the project. 3.1 Progress Review Meetings Coordination / Progress Meetings Coordination meetings will be held throughout the duration of the project, as outlined in below. These coordination/progress meetings will be held to provide task activity updates. An agenda will be prepared and distributed in advance of each meeting. Meeting minutes with action items will be prepared within three days following each meeting. The minutes will identify and track issues, actions and responsibilities and identify date, time, location and attendees. RTTAC MS Meetings Up to ten meetings will be scheduled with the RTTAC MS. At a minimum these coordination meetings will be scheduled on a quarterly basis throughout the duration of the project. At the initiation of the project to include the development of the Sampling Plan, O&D Sampling Plan, and Pilot Testing phases meetings may be scheduled more frequently, such as to occur on a monthly basis. Subcommittee meeting locations will change on a rotational basis as agreed upon by the RTTAC MS subcommittee participants. Draft Revision 0: October 9, 2015 Page 7

37 Project Management Plan An agenda will be prepared and distributed in advance of each meeting. Meeting minutes with action items will be prepared within three days following each meeting. The minutes will identify and track issues, actions and responsibilities and identify date, time, location and attendees. RTTAC Meetings Two meetings will be scheduled with the RTTAC. An agenda will be prepared and distributed in advance of each meeting. Meeting minutes with action items will be prepared within three days following each meeting. The minutes will identify and track issues, actions and responsibilities and identify date, time, location and attendees. SEFTC Meetings Two meetings will be scheduled with the SEFTC. An agenda will be prepared and distributed in advance of each meeting. Meeting minutes with action items will be prepared within three days following each meeting. The minutes will identify and track issues, actions and responsibilities and identify date, time, location and attendees. Other Stakeholder Meetings Up to 12 meetings will be scheduled with the stakeholders as determined necessary. An agenda will be prepared and distributed in advance of each meeting. Meeting minutes with action items will be prepared within three days following each meeting. The minutes will identify and track issues, actions and responsibilities and identify date, time, location and attendees. 3.2 Main Survey Contact Protocol The Sampling Plan will include communications components as developed cooperatively with the RTTAC MS: Informing the public of the purpose of the Regional Travel Study. Addressing public concerns regarding how the data will be collected, stored, processed, maintained, and employed. Addressing public concerns about disclosure of private information and protocol for sharing the data with third parties. Maximizing participation and spreading awareness among hard to reach groups, in particular. This plan will seek to identify target audiences, consider communication messages, address creative materials, distribution lists, and media lists. Consideration will be given to develop a strategy to address challenges or barriers to effective survey outreach to maximize active participation among transit riders and non motorized households, as these groups are particularly vulnerable to low response. Options for outreach should focus primarily on recruiting members of these groups. Draft Revision 0: October 9, 2015 Page 8

38 Project Management Plan The development and maintenance of a project website will help legitimize the study and contain the project information such as study purpose, sponsorship, ways to participate and a Frequently Asked Question (FAQ) section. Public communications and other elements of our outreach plan will be linked to the site as well. The website will also serve as a portal to the online recruitment and retrieval surveys. The first step of the survey contact protocol will require the mailing of invitation letters and postcards to all sampled households throughout the Tri County study area (Figure 2). Initial invitation letters and postcards regarding the Regional Travel Survey will include a unique household password, a toll free number, and the address to the Tri County Region Travel Survey website. The toll free number will be manned on a 24 hr basis with staff knowledgeable about the survey purpose, methodology and protocols. Figure 2: Survey Contact Protocol and Schedule Description Step Action Recruitment Stage 1 Initial recruitment invitation letter sent to sampled households. GPS households will have different language about the requirements of the study in comparison to non GPS households. 2 Reminder/thank you postcard sent to all sampled households one week later. Retrieval Stage 3 Survey packet for arrival approximately 2 4 days prior to travel period start date. Will contain additional print information on the study purpose, instructional material and GPS devices and device instructions for GPS households. 4 Initial reminders sent to all participating households via or phone one night before travel day. 5 6 Late reminders sent one week after travel date via or phone to non responding households. Late reminders provide information on rescheduling travel date for eligible respondents. Survey completion. All members of the HH must submit a completed travel diary to be considered a completed household. Completed diaries must meet item non response criteria. Incentives paid upon HH data collection completion and GPS device return. Incentives are processed monthly. Draft Revision 0: October 9, 2015 Page 9

39 Project Management Plan Letters are mailed first and Thank you/reminder postcards are sent one week after the invitation letter. These postcards remind non recruited households to participate and thank those who already completed the recruit for their participation. Participants will be able to visit the study website to register for recruitment or they may call the toll free number to have a telephone interviewer conduct the recruitment survey with them over the phone. Mailings will be staggered with invitations sent in batches to households throughout the survey region every two weeks rather than sending all of the mailings on the same day. If the entire sample is sent on the same day it may bias the pool of collected travel day assignments to those immediately following batch mailouts. Spreading out the mailings every two weeks over the course of multiple months ensures a greater range of travel days are collected, minimizes seasonality bias, and reduces the lag between recruitment, travel day, and retrieval. The travel reporting portion of the Regional Travel Survey will employ a multi mode methodology via web, mail and phone. A multi mode methodology is critical to allow for equitable access to all participants regardless of access to the Internet. Approximately 6 10 days after the recruitment interview, recruited households will receive a travel packet via USPS (FedEx or similar for GPS households), with detailed instructions for participation and additional information about the study. Prior to their travel day, households will receive an and/or phone call reminder about their travel participation. Travel retrieval will be offered via the web, or by telephone for those who request it. The average length of the interviewer administered recruit survey is 12 minutes. The average length for interviewer administered travel diary retrieval is 25 minutes. Parents and guardians will complete travel inventories for their children aged 12 and under and for household members with communication impediments. Recruits who have not provided their retrieved travel data are sent late reminders beginning one week after their assigned travel day. GPS households will receive additional late reminders in an effort to encourage return of GPS loggers. Hard to reach households and GPS participants will also be employed. This protocol will be approved by the RTTAC MS. It is anticipated that this protocol will be refined upon the completion of the pilot survey. Draft Revision 0: October 9, 2015 Page 10

40 Project Management Plan 4.0 Quality Control Plan The objective of quality control for the 2015 Southeast Regional Travel Survey is to ensure that the household survey design, administration and data processing are planned, tested, executed, and documented in a manner acceptable to the RTTAC MS subcommittee. To accomplish this objective, a Quality Control Plan (QCP) for the Project is being developed which is an integral component of this PMP. The QCP is a stand alone document that is incorporated into this PMP in its entirety. The QCP addresses the following Quality Management System (QMS) elements: Quality Management Document Control Quality Review Process In summary, the QCP establishes a minimum set of guidelines and practices to be implemented by the consultants involved in the Project to assure that the products and services provided not only meet the RTTAC MS subcommittee s, but do so in a cost effective and timely manner. 4.1 Quality Management It is PB s policy to provide quality professional services and project deliverables to its clients, consistent with the scope of services. PB (US) Business Management Systems (BMS) shall be followed to assure the control of quality during the development of this project. To ensure the level of quality needed for the 2015 Southeast Regional Travel Survey project, extended staff, subconsultants, and vendors shall develop quality programs that comply with the PMP requirements. These organizations are also responsible for the training of their employees and sub consultants/sub contractors of the QC requirements for their respective quality programs. Change Procedures Changes to completed, or partially completed, work products shall be controlled. Any changes which may require a change to the project scope, schedule or budget are to be brought to the attention of the Project Manager, who is responsible for documenting and controlling such changes, to ensure that the client and all project staff are informed of the changes and have the opportunity to properly incorporate any implications into the work product. Any changes that have no impact to the project scope, budget, and schedule are to be handled by the affected task lead with the knowledge of the Project Manager. 4.2 Document Control Procedures Document Control is an integral part of the project management process. It involves the storage, retrieval, reproduction and distribution of those documents. Also included are correspondence control subtasks. Draft Revision 0: October 9, 2015 Page 11

41 Project Management Plan To ensure consistency and in support of total quality management, the 2015 SEFL Regional Survey will include the implementation of standard file indexing to correspond with each task and subtask as identified in the approved scope of services. These files will be stored on PB s shared point service called Projectsolve 2. This will serve as a centralized virtual file for project documentation, data, and correspondence. As part of the ProjectSolve 2 implementation index data values are created for each document and electronic pointers to the file to allow search and retrieval. The index values are entered and maintained within ProjectSolve 2 and are editable only by authorized personnel. Access to search the index database and retrieve the scanned images of the documents can be performed by authorized users at any remote location with available Internet access. The web based ProjectSolve 2 platform has been and continues to be a powerful and effective communication tool which: Is a secure, encrypted site, accessible only to authorized users; Provides a permanent archive of all project related materials; Facilitates team coordination, efficient document review, publishing, and submittal processes; Provides team members with access to all information, when needed; Captures valuable data and knowledge in a manner that enables quick recall for future reference; Eases scheduling and event management with a logically crafted calendar tool and realtime meeting facility. The ProjectSolve 2 web address that has been established for the 2015 SEFL Regional Survey is Quality Review Process The Project Manager is responsible for establishing the level of review required for the project, for selecting appropriately qualified personnel to perform the required reviews and for defining the level of review and the review team in the PMP. The PM is also responsible for maintaining a record of each review and the disposition of the review comments. Draft Revision 0: October 9, 2015 Page 12