Identifying the Determinants of Commuting Travel Mode Choice from Daily Commutation Behavior
Identifying the Determinants of Commuting Travel Mode Choice from Daily Commutation Behavior
复制标题
从日常通勤行为识别通勤出行方式选择的决定因素
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
T. Sumi
中科院分区：
文献类型：
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作者：
Qiang Li;Yoshinao Ooeda;Chiaki Matsunaga;T. Sumi
了解通勤出行方式选择行为对于提高交通需求管理政策的效果和提高轨道交通的利用率具有重要意义。基于此，本文从通勤活动包括从早上离家到晚上回家这段时间内的一系列活动的角度出发，分析通勤活动对通勤出行方式选择的影响。首先提出了几个指标来表示通勤活动，然后使用福冈市前往CBD的工人的个人旅行（PT）数据，统计分析了工人使用不同出行方式的通勤活动特征，以确定影响工人出行方式选择的决定因素。此外，采用非集计logit模型量化指标的通勤出行方式选择的贡献。结果表明，2次出行的模型具有较好的拟合度，而多次出行的模型有待进一步研究。
Understanding of commuting travel mode choice behavior is crucial for enhancing the effects of transportation demand management (TDM) policies and improving the utilization of mass transits. For the purpose, this paper focused on analyzing the influences of commutation activity on commuting travel mode choice from a viewpoint that commutation activity comprises a series of activities undertaken in the period that starts on departure time from home in the morning and ends at home-returning time in the evening. Several indicators were firstly addressed to represent commutation activity, then by using Person Trip (PT) data of the workers toward CBD in Fukuoka City, the characteristics of commutation activity of the workers using different travel modes were statistically analyzed to identify the determinants influencing workers' travel mode choices. Furthermore, disaggregate logit model was adopted to quantify contributions of the presented indicators to commuting travel mode choice. The results showed that the model of the workers with 2 trips has good fitness whereas the model of the workers with multi-trips should be modified in further study.