Pedestrian Access to Transit: Identifying Redundancies and Gaps Using a Variable Service Area Analysis

School of Urban Planning, McGill University, H3A 2K6, Québec, Canada
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Available from: Ahmed M. El-Geneidy, Sep 27, 2015
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    • "Thus, a discrete demand model assuming a finite set of possible locations for bus stops (given by road intersections and the geometric characteristics of a network) is more useful as a tool to determine the actual (optimal) location of stops (Furth and Rahbee, 2000; Chien and Qin, 2004; Furth et al., 2007). With the increased availability of Geographic Information System (GIS) tools, researchers have been able to identify more precise walking distances to bus stops 1 , which can be embedded in discrete models to optimise bus stop location (Furth et al., 2007; El-Geneidy et al., 2010). "
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    ABSTRACT: Current research focuses on pedestrian access to transit; however, commuter trains in outlying urban regions serve populations in low-density areas where many people drive rather than walk to transit services. The determinants that influence how far people are willing to drive to train stations and the factors that determine boardings at suburban train stations have not been formally studied. This paper models suburban commuter travel demand by use of the 2003 Montreal, Quebec, Canada, origin-destination survey and onboard survey data from the Agence Métropolitaine de Transport to identify characteristics of individual trips and station characteristics that influence the driving distance to commuter rail and demand at stations. The models show that methods for estimating pedestrian access distance and number of boardings per transit stop can easily be transferred to estimating driving access distance and the number of boardings per station in the park-and-ride context. The model for passenger boardings by station can be used for estimating either demand for a planned station or the effect of service interventions (e.g., parking spots) on boardings at existing stations. The paper also shows that these approaches can be a valuable tool to transit planners interested in increasing passenger demand on commuter rail through a better understanding of service characteristics.
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    ABSTRACT: Availability of a transit service is a key factor in a traveler's choice of transportation mode. Transit service is a realistic option only if the service is available at or near locations when a person plans to travel. Whereas various measures exist for transit availability such as service frequency, the focus of this study was on the spatial aspect of pedestrian accessibility to transit stations, that is, on service coverage. Service areas are commonly used to visualize accessibility for pedestrians to transit systems and to analyze the potential ridership. Because the service area for a station is defined over the maximum network walking distance from a transit station, a complete street network that includes pedestrian segments, that is, shortcuts, is highly important for a realistic assessment of service areas. Whereas most proprietary geodata providers concentrate solely on car-related geodata, public domain street data and volunteered geographic information, such as OpenStreetMap, provide a potential valuable source for pedestrian data. The authors compared the amount of pedestrian-related data between freely available sources (OpenStreetMap or TIGER or both) and proprietary providers (Tele Atlas or NAVTEQ or both). The effect on modeling transit accessibility for pedestrians was analyzed for five U.S. and four German cities, and differences between these two countries were identified.
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