Forecasting Transit Walk Accessibility: Regression Model Alternative to Buffer Method

Abstract

A description is given of a methodology for estimating transit walk accessibility at the home end of transit trips and for forecasting transit walk accessibility at the home end for a future year, given forecast population and employment data, transit route information, and type of street configuration. The methodology for estimating transit walk accessibility overcomes the problems associated with natural and man-made barriers such as water bodies and community walls and the problem of uneven distribution of population. A comparison of the results with those from the traditional buffer method, as well as with network ratio methods that consider actual walk distance along streets, showed that both the buffer method and network ratio methods tended to overestimate transit walk accessibility. Regression analysis also showed that the new transit walk accessibility measure was a stronger predictor of transit use than that produced using the buffer method. The methodologies may be applied to transit planning, urban design for sustainable development, and long-range transit demand modeling.

Access to Public Transit and Its Influence on Ridership for Older Adults in Two U.S. Cities

“…Urban planners typically assume that people of all ages will comfortably walk approximately 400 meters (one-quarter mile) to reach transit stops or stations (Southworth and Ben-Joseph 2003;Untermann 1984); as walking distance to public transit increases, people are less likely to use it if they have other travel alternatives (Zhao et al 2003). Convenient access to public transit is a foundation for neighborhood planning for Older women are three times more likely to live alone than men (Wallace and Franc 1999).…”

Caída De La Demanda Con La Distancia en El Uso Del Transporte Público: El Caso Del Acceso Al Campus Universitario De Cáceres

“…Existen distintos modelos de predicción de la demanda del transporte público, como el formulado en Zhao et al (2003) y descrito también en Gutiérrez Puebla et al (2008), que propone el estudio de la demanda a partir de los datos de uso de viajeros de la red de autobuses según distancia que recorren a pie desde los orígenes hasta las paradas. A través de este cálculo se establece la caída de la demanda con la distancia, que indica la tasa con la que el uso del autobús decrece con la distancia.…”

“…Esto es, a grandes rasgos, limitar la distancia que el viajero está dispuesto a recorrer para poder hacer uso del sistema de transporte. En algunos estudios, fundamentalmente del ámbito anglosajón, se establece como distancia límite de uso una distancia inferior a 400 m (Murray 2001, Zhao et al 2003, Cardozo et al 2010. Sin embargo, otros estudios de ámbito nacional establecen intervalos entre 300 y 600 metros (Gutiérrez Puebla et al 2002), incluso alcanzando la cifra de 800 metros (Cardozo et al 2010) como límite de uso del servicio de transporte público.…”

Accessibility Analysis for the Elderly in an Urban Area from Turkey

“…The literature identifi es 400 meters as a maximum distance threshold when defi ning pedestrian accessibility to bus stops (Bakan and Konuk, 1987 Zhao et al, 2003). Given the limited mobility and health problems of elderly individuals, this study defi nes pedestrian accessibility distance as 0-400 meters, the distance to access public transport as 400-800 meters, and the distance that could be covered with a companion as 800-1,200 meters.…”