How urban land use influences commuting flows in Wuhan, Central China: A mobile phone signaling data perspective
How urban land use influences commuting flows in Wuhan, Central China: A mobile phone signaling data perspective
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城市土地利用如何影响华中地区武汉市的通勤流量：手机信号数据视角
DOI：
10.1016/j.scs.2019.101914
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发表时间：
2020-02-01
影响因子：
11.7
通讯作者：
Jing, Ying
中科院分区：
文献类型：
--
作者：
Liu, Yaolin;Fang, Feiguo;Jing, Ying
通勤是我们城市日常生活的重要组成部分。了解通勤流对于城市和交通规划至关重要。城市土地利用是城市研究的基础，以往的研究证实了它对通勤模式的影响。本文探讨了城市土地利用是否影响通勤流，以及它如何影响通勤流与起点-终点距离之间的关系（即，的可访问性）。在这项研究中，基本重力模型扩展与土地利用变量。并采用多元回归和调节多元回归模型分析了通勤流与土地利用之间的关系（即，工业、商业、住宅、教育用地等），以及土地利用变量与可达距离的交互作用。通勤数据是从武汉市2016年移动的电话信令数据中提取的，特别是在实证分析中加入了通勤数据。结果表明，工业和住宅的起源可能会发送更多的通勤者，而工业和商业目的地吸引更多。土地利用与距离之间的交互作用表明，随着距离的增加，以工业为起点（目的地）的通勤流下降最快，而以商业为起点（目的地）的通勤流下降最慢。研究结果表明：（1）通勤者出发地和目的地的城市土地利用显著影响通勤流;（2）城市土地利用也调节通勤流与距离之间的关系。本研究从移动的电话信令数据的角度来理解通勤流，有助于城市和交通规划的政策制定
Commuting is an essential part of our urban daily life. Understanding of commuting flows is crucial for urban and traffic planning. Urban land use plays a fundamental role of urban studies, given that its verified impact on commuting pattern in previous studies. This paper explores whether urban land use influences the commuting flows and how it impacts the relationship between commuting flows and origin-destination distances (i.e., the accessibility). In this study, the basic gravity model is extended with land use variables. And both multiple regression and moderated multiple regression models are applied to analyze the relationship between commuting flows and land use (i.e., industrial, commercial, residential, educational land etc.), as well as the interaction effect between land use variables and the accessible distance. Commuting data is extracted from Wuhan's mobile phone signaling data in 2016, particularly incorporated in the empirical analysis. The results show that industrial and residential origins are likely to send more commuters while industrial and commercial destinations attract more. An interaction effect between land use and distance is revealed that commuting flows with industrial origins (destinations) decrease fastest with distance increasing while those with commercial origins (destinations) decrease slowest. These findings imply that 1) Urban land use of commuters' origins and destinations significantly influences commuting flows; and 2) Urban land use moderates the relationship between the distance and commuting flows as well. This study contributes to policies-makings of urban and traffic planning through understanding commuting flows from the mobile phone signaling data perspective