Modeling and Analysis of Excess Commuting with Trip Chains

Commuting, like other types of human travel, is complex in nature, such as trip-chaining behavior involving making stops multiple purposes between two anchors. According to the 2001 National Household Travel Survey, about half weekday U.S. workers made a stop during their commute. In excess commuting studies that examine region’s overall efficiency, is, however, simplified nonstop travel from homes jobs. This research fills this gap by proposing trip-chaining-based model integrate into commuting. Based on case study Tampa Bay region Florida, finds traditional underestimate both actual and optimal commute overestimate For chained trips alone, for example, mean minimum time increased 70 percent 5.48 minutes 9.32 after accounted for. The gaps are found vary across disaggregate analysis chain activities. Hence, policymakers planners cautioned with regards omitting urban transportation land use policies. addition, proposed can be adopted efficiency nonwork travel.