Multi-level urban form and commuting mode share in rail station areas across the United States; a seemingly unrelated regression approach

Arefeh Nasri and Lei Zhang

Transport Policy, 2019, vol. 81, issue C, 311-319

Abstract: Transit-friendly development has recently become a popular strategy to increase transit mode share in the United States. Many policies and programs have been proposed and implemented across the country to increase residential and job densities, walkability, and mixed-use development around major transit stations in order to encourage transit ridership. Using data from all rail transit stations across the United States, this paper presents an analysis of commute mode share for people who live within walking distance to rail transit with regard to the urban form at both neighborhood and regional levels. This study provides additional evidence to better understand how transit accessibility and urban design jointly aim to encourage transit use and reduce driving in rail stations areas across the U.S. and thus cope with ever-growing traffic congestion in urban areas. It is one of the first analyses to examine the relationships between urban form measured at both local/neighborhood and metropolitan levels and the commuting mode share across major transit station areas nationwide. It utilizes a Seemingly Unrelated Regression modeling method (SUR) -which is based on generalized least squares (GLS)- and estimates three primary modes of auto, transit, and walk/bike.

Keywords: Built environment; Regional urban form; Transit accessibility; TOD; Commute mode choice; Seemingly unrelated regression; Travel behavior; Urban design (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (7)

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DOI: 10.1016/j.tranpol.2018.05.011

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