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Possible Bike S haring P rograms in UCLA Given the Arriving Purple Line Subway. Tsai- wei Wen Department of Public Policy. Introduction. The future purple line extension subway could increase the public transit usage

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possible bike s haring p rograms in ucla given the arriving purple line subway

Possible Bike Sharing Programs in UCLAGiven the Arriving Purple Line Subway

Tsai-weiWen

Department of Public Policy

introduction
Introduction
  • The future purple line extension subway could increase the public transit usage
  • However, there exists the “Last mile problem”, people don’t 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
the bike sharing system
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
slide4

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

from ucla station to campus
From UCLA station to campus
  • 3/4 mile walk to Ackerman Plaza
  • 1 mile to Royce Hall
  • More than 1 mile to Northern 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)
slide6

The UCLA Subway Station---

    • Future Potential User: People who work and live there
  • 0.5 mile:
  • 5 minswalking
  • 1.5 miles:
  • 30 mins walking VS.
  • 8-10 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

slide8

The Hot spot Analysis

  • Distances from Station
    • Score increases in the 2 miles buffer and decrease outside the 2 miles buffer, locations which is 2 miles away from the station have the highest score
  • Population in the study area
  • Number of workers in the study area
  • Number of public transit users
  • Darker color indicates better place to set a bike station
the service area analysis
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
the service area analysis1
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)
slide12

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
slide13

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
slide14

No Service Area

  • No bike friendly road (e.g. Ladders)
  • Data not available---no data for small path
conclusion
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 concerns about public bike sharing system:
    • Where to find money to build?
    • Need bike paths through the UCLA campus
gis skills
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)
appendix model and metadata
Appendix----Model and Metadata

Metadata Screen Shot

Model Screen Shot