A spatial econometric model for travel flow analysis and real-world applications with massive mobile phone data
A spatial econometric model for travel flow analysis and real-world applications with massive mobile phone data
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海量手机数据出行流分析及现实应用的空间计量模型
DOI：
10.1016/j.trc.2017.12.002
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发表时间：
2018-01-01
影响因子：
8.3
通讯作者：
Chen, Xiqun (Michael)
中科院分区：
文献类型：
--
作者：
Ni, Linglin;Wang, Xiaokun (Cara);Chen, Xiqun (Michael)
蜂窝信令数据提供了一个巨大的和新兴的来源，用于获取城市的起源目的地（OD）的旅行流信息，支持大规模的移动性增强的决策，并使影响旅行需求的因素的探索。本研究探讨人口、交通设施与交通可达性对交通分析区域间交通流量之影响。通过整合大量移动的数据和城市区域的其他解释性特征，采用空间计量经济模型对OD出行流进行分析。结果表明：（1）OD流模型中的始发地依赖、目的地依赖和OD依赖系数均达到统计显著水平，验证了OD流模型中考虑了空间相关性的观点;（2）常住人口、设施数量和公交可达性均与出行流正相关;和（III）旅行时间，如预期的那样，与旅行流量负相关。最后，政策含义进行了讨论，进一步有助于城市土地利用和交通政策的设计。
Cellular signaling data provide a massive and emerging source for acquiring urban origin destination (OD) travel flow information, supporting decision making on large-scale mobility enhancement, and enabling the exploration of factors that influence travel demand. This study investigates the effects of population, facilities, and transit accessibility on travel flows between traffic analysis zones. A spatial econometric model is employed for the OD travel flow analysis by integrating massive mobile data with other explanatory features of urban regions. The results of real-world applications in Hangzhou, China, show that: (I) all coefficients of the origin dependence, destination dependence, and OD dependence are statistically significant, which verifies the consideration of the spatial interdependence in the OD flow modeling; (II) all of the permanent population, number of facilities, and transit accessibility have positive correlations with travel flows; and (III) travel time, as expected, is negatively correlated with the travel flow volume. Finally, policy implications are discussed, further contributing to the design of urban land use and transportation policies.