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Possible Bike Sharing Programs in UCLA Given the Arriving Purple Line Subway Tsai-wei Wen Tsai-wei Wen Department of Public Policy.

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Presentation on theme: "Possible Bike Sharing Programs in UCLA Given the Arriving Purple Line Subway Tsai-wei Wen Tsai-wei Wen Department of Public Policy."— Presentation transcript:

1 Possible Bike Sharing Programs in UCLA Given the Arriving Purple Line Subway Tsai-wei Wen Tsai-wei Wen Department of Public Policy

2 Introduction The future purple line extension subway could increase the public transit usage However, there exists the Last mile problem, people dont have incentive to work more than 10 minutes(0.5 mile) to catch the subway If find a solution to solve the Last mile problem, more people will have higher willingness to use public transit rather than driving. How to solve? BICYCLEs

3 The Bike Sharing System The public rental bike system Rent a bike for short one-way trip How it works? – Register with your smart card transit pass at the bike station – Swipe the smart card on the lock – Ride the bike and return it at any bike station – Program in Paris, London, Barcelona, Washington, D.C. Purpose- – Intermodal transportation – Solve the last-mile problem – Easy way to transit in the city center

4 Case Study---- The UCLA Station The possible station location: Wilshire/Gayley, 14,300 people are expected to board each day Riders from: UCLA, UCLA Medical Center, High-rise offices around, Federal Building

5 3/4 mile walk to Ackerman Plaza 1 mile to Royce Hall More than 1 mile to Northern campus. From UCLA station to campus For example: School of Public Affair By bus: BBB1,2,8,12, Metro761 – Bus frequency: every 2-5 minutes – 5 Minutes on bus By Bruin Bus – Bus frequency: every 8-10 minutes – 5 Minutes on bus Biking: 1.5 miles, 6-10 minutes (15mph) Walking: 1.5 miles, 30 minutes (3mph)

6 The UCLA Subway Station--- Future Potential User: People who work and live there 0.5 mile: 10 mins walking 1.5 miles: 30 mins walking VS mins Biking (Walk: 3mph; Bike:15mph) The bike sharing system could attract people who live 2 mile away from the station, and increase the usage of the public transit

7 If

8 The Hot spot Analysis Distances from Station mile (score 2); mile (score 4) miles (score 3); miles (score 2) 2-3 miles (score 1); 3 miles& up (score=0) Population in the study area (Higher population, higher the score) Number of workers in the study area (Higher no. of workers, higher the score) Number of public transit users (Higher no. of Pub Transit user, higher the score)

9 The Service Area Analysis Walk Distances From UCLA Station Less than Half UCLA building can be reached in 15 Minutes Walking Distances Serious last mile problem

10 The Service Area Analysis Biking Distances From UCLA Station Bicycle could be a good way to solve the Last Mile Problem The Whole UCLA campus could be reached in 10 minutes biking distances (assume biking speed is 15 mph)

11 Find the Routes for Bicycle Stops 1UCLA Station 2Weyburn Terrace 3Ackerman Union 4Anderson School 5Sunset Recreation Center 6Public Affair Building 7UCLA Station

12 Where to set the Bike Stations on Campus? Need space to set the stations Possible Space area on Campus: The Parking Structure and Bus Terminal Walking Distance to the Main Buildings

13 Where to set the Bike Stations on Campus? Short Biking Distance between Stations---3 minutes Almost every main buildings could be reached in 3 minutes by bike

14 No Service Area No bike friendly road (e.g. Ladders) Data not available--- no data for small path

15 Conclusion Bicycle population should increase if there is a UCLA subway station on Wilshire The bike facility/bike path still not enough in UCLA (especially in north campus) Space for bike stations: the existing parking structure could be solutions The main concern about public bike sharing system: – Need bike paths which go through the UCLA campus

16 GIS Skills Modeling: Create the different distances buffer Original data: The UCLA building locate The Future UCLA station locate Analysis: Buffer Analysis Extracting information from a buffer Charts (extract data and create the table) Hotspot Analysis Network Analysis (find the bike route and bike station service area)

17 Appendix----Model and Metadata Metadata Screen ShotModel Screen Shot

18 Thank You Q &A?


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