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首页> 外文期刊>Transport policy >Multi-stage trips: An exploration of factors affecting mode combination choice of travelers in England
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Multi-stage trips: An exploration of factors affecting mode combination choice of travelers in England

机译：多阶段旅行：影响英格兰旅行者模式组合选择的因素探索

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摘要

A tremendous growth has been observed in the use of personal vehicles. Increase in private vehicle use has created many environmental, social and economic problems. A multi-stage trip can help to elevate the problems of delays, environmental degradation, and congestion. Multi-stage trips provide the benefits of smarter, cleaner and sustainable transport. This paper focuses on the organization of different multi-stage trips with respect to first mile, main stage, and last mile and factors that influence the choice of these mode combinations. A multinomial logistic regression (MNL) model is used to evaluate the factors that affect the choice of different mode combinations in a multi-stage trip. For most of the combinations, the trip purpose is significantly associated with mode choice for these combinations. In most cases, availability of the car results in a decline of probability for choosing a combination involving walk. The families with children prefer to take a combination involving a car or public transport at the first or last mile. This study only focuses on the mode combination of 3-stage trips so, an analysis can also be made for multi-stage trips having more than 3 stages.
机译：在使用个人车辆时已经观察到巨大的增长。私人车辆使用的增加创造了许多环境，社会和经济问题。多阶段旅行可以帮助提升延迟，环境退化和拥堵问题。多级旅行提供更智能，清洁和可持续运输的好处。本文重点介绍了与第一英里，主要阶段和最后一英里的不同多阶段旅行组织，以及影响这些模式组合选择的主要内部和因素。多项式逻辑回归（MNL）模型用于评估影响多级跳闸中不同模式组合选择的因素。对于大多数组合，旅行目的与这些组合的模式选择显着相关。在大多数情况下，汽车的可用性导致选择涉及行走的组合的概率下降。儿童的家庭更愿意在第一个或最后一英里涉及汽车或公共交通工具的组合。本研究仅重点关注3阶段行程的模式组合，因此，还可以对具有超过3个阶段的多级跳闸来进行分析。

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