Traffic congestion has imposed considerable economic expenses and environmental challenges on metropolitan areas. Consequently, cities have implemented Travel Demand Management (TDM) strategies to mitigate this issue during peak hours. Although studies have investigated how individuals make decisions during commuting in response to TDM incentives, there is limited research on differences in route choices between trips to and from work, making the policies less effective. This study aims to fill this gap by using trajectory data from over 3,000 vehicles and examines the impacts of time-varying features, route characteristics, and built environment factors on route variability. Results indicate that factors such as expressway proportion, travel cost, and road density at the origin and destination locations have similar effects on route variability during morning and evening commuting. However, departure time, travel distance, and the number of traffic lights significantly differ in impacting route variability between the two scenarios. This study provides a foundation for optimizing route choices and alleviating traffic emissions during peak hours through advanced TDM measures. With more detailed and deliberate policies, citizens can enjoy urban mobility within a well-organized road network in a more sustainable and efficient way.

中文翻译：

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高峰时段路线选择的异质性：对出行需求管理的影响


交通拥堵给大都市地区带来了巨大的经济成本和环境挑战。因此，城市实施了旅行需求管理 （TDM） 策略，以缓解高峰时段的这一问题。尽管研究调查了个人在通勤期间如何根据 TDM 激励措施做出决策，但关于上下班旅行之间路线选择差异的研究有限，这使得政策效果较差。本研究旨在通过使用来自 3,000 多辆车的轨迹数据来填补这一空白，并检查时变特征、路线特征和建筑环境因素对路线可变性的影响。结果表明，在早晨和晚上通勤期间，起点和目的地位置的高速公路比例、出行成本和道路密度等因素对路线可变性具有相似的影响。但是，出发时间、行驶距离和交通信号灯数量在影响两种方案之间的路径可变性方面存在显著差异。本研究为通过先进的 TDM 措施优化路线选择和减少高峰时段的交通排放提供了基础。通过更详细和深思熟虑的政策，公民可以在组织良好的道路网络中以更可持续和更高效的方式享受城市交通。