1 / 5

Analysis of light rail rider travel behavior: Impacts of individual, built environment and crime characteristics on tran

Analysis of light rail rider travel behavior: Impacts of individual, built environment and crime characteristics on transit access. Paper by S. Kim, G.F. Ulfarsson, and J.T. Hennessy. 2007. Transportation Research Part A, Policy and Practice , 41(6):511-522.

aquarius
Download Presentation

Analysis of light rail rider travel behavior: Impacts of individual, built environment and crime characteristics on tran

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Analysis of light rail rider travel behavior: Impacts of individual, built environment and crime characteristics on transit access. • Paper by S. Kim, G.F. Ulfarsson, and J.T. Hennessy. 2007. Transportation Research Part A, Policy and Practice, 41(6):511-522. • Presented by Bradley Lynn, Environmental Studies (City and Regional Planning), Geog. 370, February 25, 2008.

  2. Why might one walk or drive to rail stops? • Problem: Many factors affect how people access mass transit from home and work, however, many studies are statistically convoluted and fail to take into account crime rates at given stations. • Hypothesis: There exists a correlation between the modes of transport used to access mass transit and the surrounding environment of a transit stop.

  3. Taking stock of various stops. • Site: St. Louis, Missouri light rail system, MetroLink. (2002) • A composite survey of all home-based trips, which included many factors such as… • A spatial analysis of the stop used, including development around the stop, crime rate, and the distance from departure to stop.

  4. The Results • High correlation between distance traveled from departure to stop and mode of transport taken. • Also found correlation between mode and time of arrival at station, especially when providing for crime rates. (Also…) • Income also correlated…

  5. The Conclusions • People willing to walk further to stops than guidelines in the US provide for. • Walkability a large issue, especially with the surrounding built environment and safety. • Each mode has a sort of given threshold of distance, most likely due to time. • Commercial and industrial areas more conducive to walking and bus use than residential areas.

More Related