A Multi-disciplinary Campus Collaboration and Community Engagement for Sustainable Transportation

Transcription

1 A Multi-disciplinary Campus Collaboration and Community Engagement for Sustainable Transportation Presented by Dr. Elise Barrella & Ms. Kelsey Lineburg James Madison University March 31, 2015 Smart and Sustainable Campuses Conference 2015

2 Background Initiated pilot of Sustainable Transportation Analysis and Rating System (STARS) in Fall 2013 Focused on a 1/4-mile segment of the Grace Street Corridor First application of STARS (created by the Sustainable Transportation Council) at a University and the only East Coast application to date Purposes were to: Develop measurable targets Test design and programmatic alternatives Demonstrate a decision-making framework centered on sustainability trade-offs

3 2007: Greenroads 2008: GreenLITES STARS 2010: BE 2 ST-in-Highways Greenpave I-LAST 2012: envision INVEST Timeline of Sustainability Rating Systems for Transportation Projects and Systems

4 Source: Adapted from Brodie et al., 2013

5 Sustainable Transportation Analysis & Rating System (STARS) Pilot: The Grace Street Project

6 Planet Triple Win People Prosperity

7 STARS promotes plans and projects that are likely to achieve multiple goals. Though STARS credits are organized into distinct categories, the STARS framework allows users to optimize the areas of shared benefit across categories. -Sustainable Transportation Council

8 Who s Using STARS and How? Sustainability Assessment City Transportation Plan Complete Street Analysis Station Area Plan Performance Measures Economic Benefit Analysis Bike/Ped Placemaking Corridor Investment Plan Regional Transportation Plan Bus Rapid Transit Analysis Bike/Ped Trail Access

9 How Does STARS Work? 1. Foundation STARS Workshop Baseline Data Survey Users 2. Frame Establish goals, performance measures and targets 3. Test Test strategies to meet targets Make decisions Get rated 4. Follow-up Monitor on-going performance

10 So, why did we choose STARS?

11 What s Unique? Mode neutral heavy lifter performance measures Optimizes for multiple objectives (Triple Win) Focused on performance outcomes Backcasts from future

12 A Backcasting Approach Working backwards from a particular future endpoint to the present to determine what policy measures would be required to reach that future. Distinguished from other methods because it is concern[ed], not with likely energy futures, but with how desirable futures can be attained Robinson (1982)

13 Source: Geurs & van Wee 2004, p 51

14 JMU Strategic Plan JMU Master Plan Campus Environmental Stewardship Vision Collaboration Community Engagement Access Health Safety Equity Climate and Energy Resilience Ecological Function Cost Effectiveness Economic Benefit Innovation

15 JMU Strategic Plan JMU Master Plan Campus Environmental Stewardship Vision Collaboration Community Engagement Access Health Safety Equity Climate and Energy Resilience Ecological Function Cost Effectiveness Economic Benefit Innovation

16 And we were able to customize the process

17 Grace Street Project & STARS STARS workshop Student independent studies and paid research Community Design Charrette Applied Research Collaborative Partnerships with Facilities Management, Transportation Demand Management, and City of Harrisonburg

18 C1: Engagement Plan Goal Collaborative process including JMU (faculty, staff, students) and Harrisonburg community members Objective/ Target Identify user needs and priorities for Grace Street. Measure(s) Level of engagement from staff, service employees, street users Data Source(s) Attendance, representation, and outcomes of community design charrette; Phase II collect survey data (i.e., from classes)

19 JMU Applied Research Collaborative Rob Alexander Asst. Professor Political Science Audrey Barnes Asst. Professor Industrial Design Elise Barrella Asst. Professor Engineering David Ehrenpreis Asso. Professor Art History Justin Henriques Asst. Professor Engineering Henry Way Asst. Professor ISAT

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21 USER PERSONAS Profile: MONTHLY EXPENSES Cost ($) Housing On-Campus Dining Plan Off Campus Dining Expenses Transportation Costs Gas -- Parking Pass -- Car Insurance -- Maintenance Monthly payment -- Miscellaneous Costs 101 Entertainment 36 Cell Phone Plan 65 Total Expenses 1231 Gender: Female Place of Residence: On-Campus dorms Meal Plan: 19-Plus Plan Grocery list: Little snacks and high fat foods, lots of fruits, vegetables, and high protein Number of times going out to eat/week: 1 Number of times traveling to Grace St./week: 4, biking or taking the bus Type of car: None Parking Pass?: None Activity Involvement: Social Club (Dues of $30 a semester) Entertainment: Goes to the movies 3-4 times a month Cell phone provider: AT&T

22 Who are stakeholders?

23 POWER HIGH LOW LOW HIGH INTEREST Stakeholder Analysis - Power/Interest Grid

24 POWER KEEP SATISFIED KEY PLAYERS HIGH MINIMAL EFFORT KEEP INFORMED LOW LOW HIGH INTEREST Stakeholder Analysis - Power/Interest Grid

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29 Design Outcomes

30 A2: Evaluate Expanded Transportation Demand Management Strategies Goal Reduce SOV travel demand through infrastructure, land use, and policy decisions. Objective/ Target Reduce number of trips by SOV Measure(s) Number of round trips to/from campus in a day. Multimodal trip generation rates. Parking ratios within 1/4 mile of study area no more than 2035 mode share target for auto trips. Data Source(s) Survey data of travel patterns; Parking lot survey and occupancy rates; land uses

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32 Mason Street/ Grace Street Mason Street/ Cantrell Avenue

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34 Trip Generation: used to predict travel demands in a selected traffic region

35 Peak Hours from different TG Methods Mode Split based on collected data

36 CE2: Evaluate (infrastructure and service) Vehicle Mile Reduction Strategies Goal Objective/Target Measure(s) Data Source(s) Co-location of Draw more trips VMT/trip Mode share, facilities to reduce from shorter origins and trip length and distances. destinations, trip Reduce trip reduce number of distances distances SOV trips (CO2 between origins reduction and and destinations money savings as on Grace Street. a result)

37 E1: Reduce disparities in healthy, safe access to key destinations for transportation disadvantaged Goal Objective/Target Measure(s) Data Source(s) Reduce transportation + housing cost for low income students; Provide access to healthy foods and physical activity for service workers on corridor. Increase number and diversity of destinations located within a 10-minute walk or bike of Grace Street within 5 years. Number/types of destinations accessible by 10- minute walk or bike trip (specifically, food, healthcare, park/recreation areas, affordable housing). GIS analysis of study area using destinations and walk/bike sheds OpenStreetMaps network, Reference USA business data, campus layers

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39 Innovation Credits Goal Objective/Target Measure(s) Data Source(s) Additional Monetize/evaluate Multimodal trip Variety Actions Resulting benefits of replacing generation land in More Access and/or GHG Reductions trips that require parking with nonmotorized trips use and parking study Actions Improving STARS Effectiveness Develop curricula incorporating STARS Sample STARS curricula (technical elective and/or study abroad elective) N/A

40 LESSONS LEARNED & NEXT STEPS Multi-disciplinary team necessary for developing appropriate goals, targets, measures Data was a limiting factor Timescale for completing analysis out of synch with development timescale for the pilot Analysis guiding future data collection Framework may apply better at campus scale for JMU

41 THANK YOU! Acknowledgements: Dr. CJ Hartman, ISAT & Office of Environmental Stewardship and Sustainability Kristen Castilleja & Katie Hess, JMU Engineering Students Applied Research Collaborative Abe Kauffman & Mike Dalmolin, Facilities Management Lee Eshelman, Transportation Demand Management City of Harrisonburg Public Works Brad Reed