Exploring Human Mobility Patterns and Travel Behavior: A Focus on Private Cars

城市化 运输工程 行人 弹道 光学(聚焦) 透视图(图形) 计算机科学 个人流动性 工程类 电信 人工智能 经济 天文 经济增长 光学 物理
作者
Zhu Xiao,Hui Xiao,Hongbo Jiang,Wenjie Chen,Hongyang Chen,Amelia Regan
出处
期刊:IEEE Intelligent Transportation Systems Magazine [Institute of Electrical and Electronics Engineers]
卷期号:14 (5): 129-146 被引量:16
标识
DOI:10.1109/mits.2021.3098627
摘要

The ever-increasing number of automobiles, especially private cars, has irrevocably altered social life, revolutionized travel experience, and reshaped the face of urban transportation systems. Existing research mainly focuses on trajectory data from floating cars, while human mobility and travel behavior by private cars are still little understood. To bridge this gap, we employ a private car trajectory data set collected from real-world urban environments. This article provides a new perspective on human mobility, with a focus on private cars, by investigating mobility patterns and capturing the spatiotemporal evolution of urban hot zones from people's arrive–stay–leave (ASL) behavior. Understanding these hot zones and travel behavior patterns is necessary when considering changes or improvements in urban networks. Decisions impacting the safety and emissions impacts of urban travel, including, for example, design improvements at curves or to reduce left-turn conflicts, improvements to pedestrian facilities, and the placement of alternative energy refueling stations, will rely on similar analyses across many different urban areas. Our article provides a proof of concept, and we then outline new research opportunities and challenges involving private car trajectory data.Along with the increased process of urbanization and industrialization, recent years have witnessed an ever-increasing number of automobiles, especially private cars [1] , also known as passenger cars , those with less than seven seats and usually registered to individuals for personal use. Compared to floating cars [2] , private cars constitute the vast majority of automobiles. For instance, the nationwide ownership of automobiles in China exceeded 263 million by the end of 2019 [3] , and more than 88% of these vehicles (225 million) were registered to individuals. As shown in Figure 1(a) , ownership of private cars exhibited a growing trend from 2013 to 2019. As seen in Sivak's technical report [4] , per capita car ownership in the United States was 0.756 in 2015 and increased to 0.766 by 2016. According to [5] , in the last two decades, private cars accounted for more than 75% of passenger transport activity in the European Union. As shown in Figure 1(b) , even though a slightly decreasing trend is expected by 2030, it is still expected to be larger than 72%.
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