基于手机信令数据的居民出行空间效应

发布时间：2018-10-15 14:08

【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]:In order to reveal the influencing factors and spatial effects of residents' travel, the generation and evolution of traffic flow are grasped from the source of demand. Based on the signaling data of mobile phone in Hangzhou, the spatial weight matrix is constructed according to the traffic time of traffic cell. The spatial autocorrelation model of resident OD travel volume is established, and the marginal effect and policy implication are analyzed. The results show that the number of resident population, the number of high-grade commercial and the number of bus stations are positively correlated with the travel volume, while the number of high-grade hospitals and the residents' perceived distance are negatively correlated with the travel volume. With the increase of the number of high-grade hospitals, the travel volume of residents in the region decreases, and the inter-regional travel volume decreases with the increase of the perceived distance between regions. Starting point autocorrelation end point autocorrelation and OD spatial autocorrelation all have important effects on travel volume. The measured data verify the necessity of considering spatial effects.
【作者单位】：浙江大学建筑工程学院;浙江财经大学东方学院;杭州国际城市学研究中心;
【基金】：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
【分类号】：U491

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