{"title":"靠近地铁站与交通贫困的关系:时空变化","authors":"Yun-Tuan Chang , Jen-Jia Lin","doi":"10.1016/j.tranpol.2025.07.024","DOIUrl":null,"url":null,"abstract":"<div><div>This work explores the associations of proximity to metro stations with transport poverty and their spatial and temporal variations. The study's observations are from the 1488 neighborhoods in the Taipei Metropolitan Area, Taiwan, covering data from 1996 to 2016. A transport poverty index, defined as the disparity between the economic deprivation index and the job accessibility index, is proposed to measure the transport poverty degree of a neighborhood. Panel data and linear regression models are applied to analyze the data. The results indicate the following: (1) Distance to metro stations is positively associated with the degree of transport poverty within the specific distance thresholds. (2) The positive relationships move downward as a whole over time with the increase in the number of metro stations. (3) The overall downward moves of positive relationships are decreasing with distances to metro stations in the short term but are increasing with distances to metro stations in the long term. These findings highlight that, when developing metro networks, local administrations should simultaneously promote accessibility plans in areas distant from metro services and prioritize improvements in transit and motorcycle accessibility.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"171 ","pages":"Pages 853-866"},"PeriodicalIF":6.3000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Associations of proximity to metro stations with transport poverty: Spatial and temporal variations\",\"authors\":\"Yun-Tuan Chang , Jen-Jia Lin\",\"doi\":\"10.1016/j.tranpol.2025.07.024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This work explores the associations of proximity to metro stations with transport poverty and their spatial and temporal variations. The study's observations are from the 1488 neighborhoods in the Taipei Metropolitan Area, Taiwan, covering data from 1996 to 2016. A transport poverty index, defined as the disparity between the economic deprivation index and the job accessibility index, is proposed to measure the transport poverty degree of a neighborhood. Panel data and linear regression models are applied to analyze the data. The results indicate the following: (1) Distance to metro stations is positively associated with the degree of transport poverty within the specific distance thresholds. (2) The positive relationships move downward as a whole over time with the increase in the number of metro stations. (3) The overall downward moves of positive relationships are decreasing with distances to metro stations in the short term but are increasing with distances to metro stations in the long term. These findings highlight that, when developing metro networks, local administrations should simultaneously promote accessibility plans in areas distant from metro services and prioritize improvements in transit and motorcycle accessibility.</div></div>\",\"PeriodicalId\":48378,\"journal\":{\"name\":\"Transport Policy\",\"volume\":\"171 \",\"pages\":\"Pages 853-866\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transport Policy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0967070X2500277X\",\"RegionNum\":2,\"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":"Transport Policy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967070X2500277X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Associations of proximity to metro stations with transport poverty: Spatial and temporal variations
This work explores the associations of proximity to metro stations with transport poverty and their spatial and temporal variations. The study's observations are from the 1488 neighborhoods in the Taipei Metropolitan Area, Taiwan, covering data from 1996 to 2016. A transport poverty index, defined as the disparity between the economic deprivation index and the job accessibility index, is proposed to measure the transport poverty degree of a neighborhood. Panel data and linear regression models are applied to analyze the data. The results indicate the following: (1) Distance to metro stations is positively associated with the degree of transport poverty within the specific distance thresholds. (2) The positive relationships move downward as a whole over time with the increase in the number of metro stations. (3) The overall downward moves of positive relationships are decreasing with distances to metro stations in the short term but are increasing with distances to metro stations in the long term. These findings highlight that, when developing metro networks, local administrations should simultaneously promote accessibility plans in areas distant from metro services and prioritize improvements in transit and motorcycle accessibility.
期刊介绍:
Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.