NDLI: Finding determinants of transit users’ walking and biking access trips to the station: A pilot case study

Content Provider	Springer Nature Link
Author	Park, Sungjin Kang, Junhee Choi, Keechoo
Copyright Year	2014
Abstract	The major goal of this study is to help create more walking- and biking-friendly Transit-Oriented Development (TOD) policies by finding determinants that influence walking and biking to transit stations. Based on the station user survey conducted in Mountain View, California, two mode choice models are estimated for commuter rail users’ trips to the station. To find statistically significant factors that influence the probabilities of choosing walking over driving and also choosing biking over driving, two binominal logit analyses are performed with 40 travel, socio-economic, and built environment variables. The model I (walk vs. auto) analyzes 277 walkers and auto users living within 1.5 miles (2.4 km) of the station, while the model II (bike vs. auto) analyzes 280 bikers and auto users living within 2 miles (3.2 km) of the station. Both models share three predictors: trip distance, car availability, proximity to auto-friendly streets. This research also finds that trip purpose, race (Asian), intersection density influence transit users’ decision to walk over driving, while race (white) and gender affect their decision to bike over driving to the station.
Starting Page	651
Ending Page	658
Page Count	8
File Format	PDF
ISSN	12267988
Journal	KSCE Journal of Civil Engineering
Volume Number	18
Issue Number	2
e-ISSN	19763808
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-03-02
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	access modes walking biking station area TOD Civil Engineering Industrial Pollution Prevention Geotechnical Engineering & Applied Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Civil and Structural Engineering

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