{"title":"Crime, environments, service characteristics, and transit ridership: a multilevel analysis","authors":"Jianling Li, Qian He, Qisheng Pan","doi":"10.1007/s11116-023-10459-0","DOIUrl":null,"url":null,"abstract":"<p>Although crime is well recognized as a factor detrimental to ridership, fewer empirical studies have tested the effect of crime on ridership and results are inconclusive. Moreover, existing studies seldom perform multilevel analysis despite using data with a hierarchical structure. This research addresses these gaps using the 2018 data of the five largest cities in the Texas Triangle and multilevel negative binomial regression. The results reveal a non-linear relationship between crime and ridership after controlling for other effects. Transit service characteristics and crime are the top predictors of ridership. The effect of transit trip rate on ridership varies contingent upon crime. The findings have significant implications for research on transit ridership and the improvement of transit services.</p>","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"21 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s11116-023-10459-0","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Although crime is well recognized as a factor detrimental to ridership, fewer empirical studies have tested the effect of crime on ridership and results are inconclusive. Moreover, existing studies seldom perform multilevel analysis despite using data with a hierarchical structure. This research addresses these gaps using the 2018 data of the five largest cities in the Texas Triangle and multilevel negative binomial regression. The results reveal a non-linear relationship between crime and ridership after controlling for other effects. Transit service characteristics and crime are the top predictors of ridership. The effect of transit trip rate on ridership varies contingent upon crime. The findings have significant implications for research on transit ridership and the improvement of transit services.
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In our first issue, published in 1972, we explained that this Journal is intended to promote the free and vigorous exchange of ideas and experience among the worldwide community actively concerned with transportation policy, planning and practice. That continues to be our mission, with a clear focus on topics concerned with research and practice in transportation policy and planning, around the world.
These four words, policy and planning, research and practice are our key words. While we have a particular focus on transportation policy analysis and travel behaviour in the context of ground transportation, we willingly consider all good quality papers that are highly relevant to transportation policy, planning and practice with a clear focus on innovation, on extending the international pool of knowledge and understanding. Our interest is not only with transportation policies - and systems and services – but also with their social, economic and environmental impacts, However, papers about the application of established procedures to, or the development of plans or policies for, specific locations are unlikely to prove acceptable unless they report experience which will be of real benefit those working elsewhere. Papers concerned with the engineering, safety and operational management of transportation systems are outside our scope.
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