Transit Market and Travel Demand Regional Service Councils June 2018

Transcription

1 Transit Market and Travel Demand Regional Service Councils June 2018

2 So, what is NextGen? Why are we doing this? Outdated bus network It s been 25 years since last redesign! A new bus network More People 1 million new residents More places to go New destinations Something for everyone More ways to get there Travel patterns have changed 2

3 Outreach to Date +4,500 Questionnaire Responses 25 Service Council Presentations 2 External Working Group Workshop 10 Rap Sessions with Bus Divisions 3 Da Vinci High School Student Workshops 3 Customer Care Focus Group Sessions 2 Telephone Town Halls 2 Technical Advisory Committee Meetings 1 Internal Working Group Meetings 9 Other Meetings and Workshops 3

4 Four Types of Customers Frequent Occasional Infrequent Non-Rider 7% 22% 55% 16% As a % of all LA County residents 4

5 Frequent Riders 7% of riders Make up around 80% of all Metro bus boardings Source: Metro On Board Surveys and TAP data 5

6 For every frequent rider that leaves, we lose 2-3 boardings a day 6

7 If 1 in 4 non riders used transit two times per month we would more than recoup the lost ridership 7

8 Current Riders Main Reason for Riding It s convenient I don t have a car available I don t want to drive in traffic I don t have a drivers license It s good for the environment It s cheaper than parking Frequent Occasional 031% Infrequent Never Source: Metro Customer Survey,

9 Current Riders Frequent Primary Improvement Desired More frequent service More reliable service Lower fares More security More late-night service Cleaner buses or stops Better walking access More weekend service Better information Improved amenities Occasional 32% Infrequent Never Over 40% indicated that each improvement would lead them to ride more Source: Metro Customer Survey,

10 Current Riders Primary Improvement Desired Frequent What Does Frequent Mean? During Peak Hours 5 min 10 min Off-Peak Hours 10 min 15 min 20 min 39% 26% 31% 24% 12% Occasional Infrequent What Does Reliable Mean? 1. Buses are on time 2. Accurate information on real-time arrival 3. Reduced transfer wait time (for Former and Infrequent Riders) Never Source: Metro Customer Survey,

11 Non-Riders Main Reason for Not Riding Takes Too Long / Too Slow 40% Never Former 54% It s slow because Too much traffic Too many transfers Infrequent 57% Source: Metro Customer Survey,

12 Service Measuring Parameters Transit Competitiveness All Riders Current Former Infrequent/ Non-Rider Travel Speed More Service Security (women, certain geographies) Information (non-riders) Frequency Fares First/Last Mile (elderly, higher income) First/Last Mile (women, youth, elderly) Reliability Information Comfort (odors, crowding) Comfort (odors, crowding) 12

13 Measuring Transit Competitiveness Transit Speed Competitiveness Run all trips made in LA County through trip planning tools 13

14 Results Trip Transit Origins Shares Total vs Transit Trips All Trip Origins Location Based Services (LBS) Transit Trip Origins (TAP Data) 7.5M 13M 5M 7.5M 2.5M 5M 650K 2.5M 250K 650K 50K 100K 30K 50K 15K 30K 5K 15K 0 5K Source: TAP data - Metro and Municipal Operators & LBS Data (July through October, 2017) 14

15 Measuring Downtown Transit LA Competitiveness Where They Work Work Location of DTLA/Northeast LA Residents Source: LBS Data 15

16 Measuring Transit Competitiveness Competitiveness of transit Competitiveness of 2,500 trips made by DTLA/Northeast LA residents Transit more than 2x slower than auto 58% Transit 2x slower than auto 20% Transit up to 50% slower than auto 20% Transit faster than auto 2% No transit path 34% Source: Analysis using Open Trip Planner 16

17 Measuring Transit Competitiveness Competitiveness How the analysis will be extended Small travel market Transit competitiveness is low Among competitive trips, transit share is reasonably high 25K 6K 2K Should we invest to improve transit speed & frequency to increase compatible trips? Downtown LA Compton Source: Estimated Demand Based on LBS and TAP Data 17

18 Measuring Transit Competitiveness Competitiveness How the analysis will be extended Large travel market Transit competitiveness is high Among competitive trips, transit share is low 400K 200K 5K Pasadena Downtown LA Should we invest to improve service quality & amenities to capture larger share of compatible trips? Source: Estimated Demand Based on LBS and TAP Data 18

19 Schedule 19

20 Questions? 20