摘要
针对城市出租车供需失衡、运营效率低等问题,提出一种综合考虑寻客空载与相邻载客状态的优质客源量化评价模型,利用数理统计、地理统计等时空分析方法探究其时空特征,并结合兴趣点(point of interest, POI)数据构建多时段地理加权回归模型分析其影响因素。以重庆市2019年“五一”假期4 d与后6 d工作日出租车轨迹数据展开研究。结果表明:节假日优质客源整体较多于工作日,呈节假日首日和工作日末日较多的“U”形分布;23:00—次日5:00优质客源先减少后增加再减少,5:00—9:00逐渐增加,此后呈波动趋势并于21:00—23:00达到峰值;优质客源在6:00—10:00聚集情况最差,其余时段主要围绕重庆市中心城区“1主、6副、21组团”的商业、娱乐及交通枢纽等区域聚集,并呈现粘连趋势;交通设施、医疗机构、休闲娱乐及宾馆酒店等是影响优质客源时空分布的主要因素;节假日相比于工作日,工作、服务较规律的设施其影响强度明显降低,而提供娱乐、交通出行的设施其影响强度及时间都有显著增加。研究结果对提高出租车精细化管理具有重要意义。
In view of the imbalance between supply and demand of urban taxis and the low efficiency of operation,a quantitative evaluation model of high quality passenger sources was proposed,which comprehensively considers the status of empty passenger search and the status of adjacent passengers.The spatiotemporal characteristics were explored using mathematical statistics,geographical statistics and other spatiotemporal analysis methods,and the impact factors were analyzed by constructing a multi-period geographical weighted regression model based on point of interest(POI)data.The research was based on the taxi track data of the four and six working days after the May Day holiday in 2019 in Chongqing.The results show that the overall number of high passenger sources in holidays is more than that in working days,with a“U”shape distribution of more on the first day of holidays and the last day of working days.From 23:00 to 5:00 in the morning of the next day,the high quality passenger source first decreases,then increases and then decreases,and gradually increases from 5:00 to 9:00,then shows a fluctuating trend and reaches the peak during 21:00 and 23:00.The gathering of high passenger sources is the worst from 6:00 to 10:00,and the rest of the time is mainly around the business,entertainment and transportation hubs of“1 main,6 auxiliary and 21 groups”in the central urban area of Chongqing,and shows a trend of adhesion.Transportation facilities,medical institutions,leisure and entertainment,hotels and hotels are the main factors affecting the space-time distribution of high passenger sources.Compared with working days,the impact intensity of facilities with regular work and service is significantly reduced,while the impact intensity and time of facilities providing entertainment and transportation are significantly increased.The research results are of great significance to improve the refined management of taxis.
作者
牟凤云
田甜
王俊秀
张用川
何勇
MU Feng-yun;TIAN Tian;WANG Jun-xiu;ZHANG Yong-chuan;HE Yong(School of Smart City,Chongqing Jiaotong University,Chongqing 400074,China;School of Ecological Engineering,Guizhou University of Engineering and Science,Bijie 551700,China)
出处
《科学技术与工程》
北大核心
2023年第25期10664-10672,共9页
Science Technology and Engineering
基金
国家重点研发计划(2019YFB2102503)
自然资源部城市国土资源监测与仿真重点实验室开放基金(KF-2021-06-102)
山地城镇建设与新技术教育部重点实验室开放基金(LNTCCMA-20220112)。
关键词
优质客源
时空特征
出租车轨迹数据
地理加权回归
重庆市中心城区
high quality passenger source
spatial and temporal characteristics
taxi trajectory data
geographically weighted regression
the central urban area of Chongqing
作者简介
第一作者:牟凤云(1979-),女,汉族,山东潍坊人,博士,教授。研究方向:交通GIS、3S技术集成与应用。E-mail:mfysd@cqjtu.edu.cn;通信作者:田甜(1995-),男,土家族,贵州铜仁人,硕士研究生。研究方向:时空大数据分析建模。E-mail:1036700922@qq.com。
