An Analysis of Morning Commute Route Choice Patterns Using GPS Based Vehicle Activity Data

نویسندگان

  • Hainan Li
  • Randall Guensler
  • Jennifer Ogle
چکیده

This paper examines the morning commute route choice behavior of 182 drivers, using disaggregated GPS-based activity data collected during a ten-day period. This paper attempts to describe how these commuters tend to behave in the real world. A binary logit model of morning commuters’ choice between using a single commute route and multiple routes was established, based upon the evidence of drivers’ varying valuations of a number of route and trip characteristics as well as the commuters’ sociodemographic characteristics. The research results of this paper indicate a strong relationship between the morning commute trip-chaining decision (single vs. multiple routes) and work schedule flexibility as well as commuters’ socio-demographic characteristics and commute route attributes. Understanding travelers’ route choice behavior can help in designing route choice algorithms that are based upon more realistic assumptions. TRB 2005 Annual Meeting CD-ROM Paper revised from original submittal. Li, Guensler and Ogle 3

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تاریخ انتشار 2004