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浙江大学学报(工学版)
土木工程     
基于手机信号令数据的居民出行空间效应
倪玲霖, 张帅超, 陈喜群
1. 浙江大学 建筑工程学院,浙江 杭州 310058; 
2. 浙江财经大学 东方学院,浙江 杭州 310012;
3. 杭州国际城市学研究中心,浙江 杭州 310002
Spatial effects of urban travel using cellular signaling data
NI Ling-lin, ZHANG Shuai-chao, CHEN Xi-qun
1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China;
2. Dongfang College, Zhejiang University of Finance and Economics, Hangzhou 310012, China;
3. Hangzhou International Urban Research Center, Hangzhou 310002, China
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摘要:

为了揭示居民出行的影响因素和空间效应,从需求源把握交通流的产生和演变规律,以杭州市移动手机信令数据为基础,根据交通小区间的通行时间构建了空间权重矩阵,建立居民OD出行量影响的空间自相关模型,分析边际效应和政策涵义.结果表明,常住人口、高等级商业数量以及公交车站的数量与出行量呈正相关,而起点高等级医院数量和居民出行感知距离与出行量呈负相关.随着起点高等级医院数量增多,该区域的居民出行量下降;随着区域间感知距离的增加,区域间的出行量减少.起点自相关、终点自相关和OD空间自相关都对出行量具有重要影响,实测数据验证了考虑空间效应的必要性.

Abstract:

The OD travel flow spatial autocorrelation model using cellular signaling data in Hangzhou was established, through constructing the spatial weight matrix based on travel time between Traffic Analysis Zones (TAZs), in order to reveal the influence factors and spatial effect of travel flows between TAzs,and understand mechanism of travel flow generation and evolution from the demand perspective. Results show that the permanent population, quantities of high-grade commercial centers and bus stations are positively correlated with travel flows, while the number of origin’s high-grade hospitals has negative correlation. The distance of travel feeling distance, as expected, is negatively correlated with travel flows, which means the demand is estimated to decrease with the travelfeeling distance. The application of the spatial autocorrelation model shows that the origin dependence, destination dependence and OD dependence are all significant to travel flows. The field data verifiesthe necessity to consider the spatial interdependence.

出版日期: 2017-05-01
CLC:  F 572  
基金资助:

国家自然科学基金资助项目(71540005, 51508505, 51338008);杭州市社科规划专项课题资助项目(HSG2015C02);浙江省自然科学基金资助项目(LQ17G010001, LR17E080002);中央高校基本科研业务费专项资金资助.

通讯作者: 陈喜群,男,研究员. ORCID: 0000-0001-8285-084X.     E-mail: chenxiqun@zju.edu.cn
作者简介: 倪玲霖(1980—),女,副教授,从事交通与物流规划与管理等研究. ORCID: 0000-0001-5552-5996. E-mail: nll@zju.edu.cn
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引用本文:

倪玲霖, 张帅超, 陈喜群. 基于手机信号令数据的居民出行空间效应[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2017.05.007.

NI Ling-lin, ZHANG Shuai-chao, CHEN Xi-qun. Spatial effects of urban travel using cellular signaling data. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2017.05.007.

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