{"title":"Exploring Differences in Daily Travel Patterns of Traditional and Ride-hailing Taxis Via Spatial-temporal OD Data: A Case Study of Jinan, China","authors":"Xinyue Gu, Xintao Liu","doi":"10.1007/s12061-025-09728-5","DOIUrl":null,"url":null,"abstract":"<div><p>The rapid proliferation of ride-hailing services has fundamentally reshaped urban mobility landscapes, challenging the operational paradigms of traditional taxi industries. While existing literature extensively explores the spatial and temporal patterns of ride-hailing, critical gaps persist in understanding the granular differences in daily travel behaviors between these two modes. This study addresses this gap through a data-driven analysis of traditional and ride-hailing taxis in Jinan, China, leveraging high-resolution spatial-temporal origin-destination (OD) datasets. By employing geostatistical modeling and efficiency metrics, we systematically quantify disparities in service coverage, trip distribution dynamics, and operational efficiency across six days of continuous observation. Results reveal that ride-hailing services not only double the trip volume of traditional taxis but also exhibit superior spatial adaptability, extending coverage to peripheral urban areas with a greater service radius. Temporal analysis reveals ride-hailing’s optimized resource allocation, characterized by lower idle time during off-peak hours compared to traditional counterparts. Efficiency assessments indicate that traditional taxis contribute more to inefficient travel, often replacing non-motorized transport modes. This inefficient travel mainly comes from unplanned trips to the city center for leisure activities. These findings provide insights into integrated mobility systems that harness ride-hailing’s spatial flexibility, supporting empirical study for more efficient urban transport planning.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 4","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12061-025-09728-5.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-025-09728-5","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
The rapid proliferation of ride-hailing services has fundamentally reshaped urban mobility landscapes, challenging the operational paradigms of traditional taxi industries. While existing literature extensively explores the spatial and temporal patterns of ride-hailing, critical gaps persist in understanding the granular differences in daily travel behaviors between these two modes. This study addresses this gap through a data-driven analysis of traditional and ride-hailing taxis in Jinan, China, leveraging high-resolution spatial-temporal origin-destination (OD) datasets. By employing geostatistical modeling and efficiency metrics, we systematically quantify disparities in service coverage, trip distribution dynamics, and operational efficiency across six days of continuous observation. Results reveal that ride-hailing services not only double the trip volume of traditional taxis but also exhibit superior spatial adaptability, extending coverage to peripheral urban areas with a greater service radius. Temporal analysis reveals ride-hailing’s optimized resource allocation, characterized by lower idle time during off-peak hours compared to traditional counterparts. Efficiency assessments indicate that traditional taxis contribute more to inefficient travel, often replacing non-motorized transport modes. This inefficient travel mainly comes from unplanned trips to the city center for leisure activities. These findings provide insights into integrated mobility systems that harness ride-hailing’s spatial flexibility, supporting empirical study for more efficient urban transport planning.
期刊介绍：
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
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