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基于轨迹数据的城市出租车服务空间分析研究 被引量:1

Research on spatial analysis of urban taxi service based on trajectory data
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摘要 单班制出租车运营时间远小于两班制出租车,了解单班制出租车司机居住区域和出租车服务的空间差异对合理设置出租车服务站点,提高出租车的利用率具有重要意义。本文从济南市中心城区出租车轨迹数据中提取单班制出租车司机居住信息,利用核密度估计和基于密度场的热点探测对中心城区出租车司机居住区域进行建模,借助地理探测器分析出租车司机居住区域的影响因素。结果表明:出租车司机居住区域主要分布在城市中心,集中于中心城区西北部的槐荫区和天桥区;出租车司机居住区域热点共109个,其中,一、二级居住热点沿市中心呈环状分布;出租车司机居住区域受交通可达性的影响较为显著。 The operating time of single-shift taxis is much shorter than that of double-shift taxis.Understanding the spatial differences between the residential areas of single-shift taxi drivers and taxi services is of great significance for the rational placement of taxi service stations and improving taxi utilization.In this paper,the residential information of single-shift taxi drivers is extracted from trajectory data in the central urban area of Jinan.The kernel density estimation and hotspot detection based on density field are used to model the residential areas of taxi drivers in the central urban area,and the influencing factors of taxi driver residential areas are analyzed by means of geographic detector.The results show that the residential areas of taxi drivers are mainly distributed in the urban center,focusing on the Huaiyin District and Tianqiao District in the northwest of the central urban area.There are a total of 109 hotspots in the residential areas of taxi drivers,and the first-and second-level hotspots form a ring distribution along the city center.The residential areas of taxi drivers are significantly influenced by traffic accessibility.
作者 肖好良 毕京学 王腾 XIAO Haoliang;BI Jingxue;WANG Teng(Guangdong Polytechnic of Environmental Protection Engineering,Foshan 528216,China;School of Surveying and Geo-Informatics,Shandong Jianzhu University,Jinan 250101,China)
出处 《时空信息学报》 2023年第1期95-101,共7页 JOURNAL OF SPATIO-TEMPORAL INFORMATION
基金 国家自然科学基金项目(42001397) 广东省高职教育教学改革研究与实践项目(GDJG2021056) 广东省教育科学规划课题(2022GXJK513) 广东环境保护工程职业学院院长基金项目(K620622062406) 国家大学生创新创业训练计划项目(S202210430029)。
关键词 出租车司机 居住区域 核密度估计 热点探测模型 地理探测器 taxi drivers residential area kernel density estimation hotspot detection model geographic detector
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