{"title":"已确定的汽车拥有量的环境相关因素能否作为实用的规划工具?","authors":"Jason Cao , Tao Tao","doi":"10.1016/j.tra.2024.104304","DOIUrl":null,"url":null,"abstract":"<div><div>Previous studies suggest that improving built environment attributes (such as dense development and transit access) has the potential to reduce car ownership. However, most of them overlook the possible plateau association, in which car ownership shows little change as a built environment variable increases within a certain range . Applying gradient boosting decision trees to data from the Minneapolis-St. Paul metropolitan area, this study reveals the complex nonlinear relationships between built environment attributes and car ownership. The results show that although population density and intersection density are strongly and negatively related to car ownership, car ownership exhibits little variation within the middle ranges of these two variables. These plateau associations suggest that reducing car ownership through population and intersection densification is challenging in planning practice. In contrast, directing population growth towards central cities and inner-inning suburbs and densifying transit stops are more promising interventions.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"191 ","pages":"Article 104304"},"PeriodicalIF":6.3000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Can an identified environmental correlate of car ownership serve as a practical planning tool?\",\"authors\":\"Jason Cao , Tao Tao\",\"doi\":\"10.1016/j.tra.2024.104304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Previous studies suggest that improving built environment attributes (such as dense development and transit access) has the potential to reduce car ownership. However, most of them overlook the possible plateau association, in which car ownership shows little change as a built environment variable increases within a certain range . Applying gradient boosting decision trees to data from the Minneapolis-St. Paul metropolitan area, this study reveals the complex nonlinear relationships between built environment attributes and car ownership. The results show that although population density and intersection density are strongly and negatively related to car ownership, car ownership exhibits little variation within the middle ranges of these two variables. These plateau associations suggest that reducing car ownership through population and intersection densification is challenging in planning practice. In contrast, directing population growth towards central cities and inner-inning suburbs and densifying transit stops are more promising interventions.</div></div>\",\"PeriodicalId\":49421,\"journal\":{\"name\":\"Transportation Research Part A-Policy and Practice\",\"volume\":\"191 \",\"pages\":\"Article 104304\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2024-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part A-Policy and Practice\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0965856424003525\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part A-Policy and Practice","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0965856424003525","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Can an identified environmental correlate of car ownership serve as a practical planning tool?
Previous studies suggest that improving built environment attributes (such as dense development and transit access) has the potential to reduce car ownership. However, most of them overlook the possible plateau association, in which car ownership shows little change as a built environment variable increases within a certain range . Applying gradient boosting decision trees to data from the Minneapolis-St. Paul metropolitan area, this study reveals the complex nonlinear relationships between built environment attributes and car ownership. The results show that although population density and intersection density are strongly and negatively related to car ownership, car ownership exhibits little variation within the middle ranges of these two variables. These plateau associations suggest that reducing car ownership through population and intersection densification is challenging in planning practice. In contrast, directing population growth towards central cities and inner-inning suburbs and densifying transit stops are more promising interventions.
期刊介绍:
Transportation Research: Part A contains papers of general interest in all passenger and freight transportation modes: policy analysis, formulation and evaluation; planning; interaction with the political, socioeconomic and physical environment; design, management and evaluation of transportation systems. Topics are approached from any discipline or perspective: economics, engineering, sociology, psychology, etc. Case studies, survey and expository papers are included, as are articles which contribute to unification of the field, or to an understanding of the comparative aspects of different systems. Papers which assess the scope for technological innovation within a social or political framework are also published. The journal is international, and places equal emphasis on the problems of industrialized and non-industrialized regions.
Part A''s aims and scope are complementary to Transportation Research Part B: Methodological, Part C: Emerging Technologies and Part D: Transport and Environment. Part E: Logistics and Transportation Review. Part F: Traffic Psychology and Behaviour. The complete set forms the most cohesive and comprehensive reference of current research in transportation science.