{"title":"街道环境的交通、社会和自然属性对老年人感知活动机会的空间尺度影响","authors":"Ruina Han , Dongfeng Yang","doi":"10.1016/j.jtrangeo.2024.104045","DOIUrl":null,"url":null,"abstract":"<div><div>The street environment correlates with perceived activity opportunities for older adults. While numerous studies have examined the transportation and social attributes of street environments, the natural attributes have been less explored. Furthermore, the nonlinear relationship between the street environment and perceived activity opportunities across different spatial scales remains under-researched. We hypothesize that transportation, social, and natural attributes influence perceived activity opportunities, and their nonlinear effects vary across spatial scales. Therefore, we used activity survey data and multi-source big data from Dalian, China. Employing gradient boosted decision tree (GBDT) methods, we evaluated the nonlinear correlation between the street environment and perceived activity opportunities. Our study considered three community life circle scales: 5-min, 10-min, and 15-min. The results indicated that street features varied significantly at different spatial scales. Specifically, factors such as density of street network, diversity of street interface, distance to the nearest public transport station, accessibility of green space, diversion ratio, and distance to the nearest blue space notably influence perceived activity opportunities across these scales. The study also found that the nonlinear correlations between street environments and perceived activity opportunities were prevalent and varied across spatial scales. These results suggest that priorities for street environment improvements should account for these spatial scale variations. Our research provides multi-scale recommendations for the development of sustainable transportation, age-friendly communities, and the promotion of aging in place.</div></div>","PeriodicalId":48413,"journal":{"name":"Journal of Transport Geography","volume":"121 ","pages":"Article 104045"},"PeriodicalIF":5.7000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial scale effects of transportation, social and natural attributes of street environments on perceived activity opportunities for older adults\",\"authors\":\"Ruina Han , Dongfeng Yang\",\"doi\":\"10.1016/j.jtrangeo.2024.104045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The street environment correlates with perceived activity opportunities for older adults. While numerous studies have examined the transportation and social attributes of street environments, the natural attributes have been less explored. Furthermore, the nonlinear relationship between the street environment and perceived activity opportunities across different spatial scales remains under-researched. We hypothesize that transportation, social, and natural attributes influence perceived activity opportunities, and their nonlinear effects vary across spatial scales. Therefore, we used activity survey data and multi-source big data from Dalian, China. Employing gradient boosted decision tree (GBDT) methods, we evaluated the nonlinear correlation between the street environment and perceived activity opportunities. Our study considered three community life circle scales: 5-min, 10-min, and 15-min. The results indicated that street features varied significantly at different spatial scales. Specifically, factors such as density of street network, diversity of street interface, distance to the nearest public transport station, accessibility of green space, diversion ratio, and distance to the nearest blue space notably influence perceived activity opportunities across these scales. The study also found that the nonlinear correlations between street environments and perceived activity opportunities were prevalent and varied across spatial scales. These results suggest that priorities for street environment improvements should account for these spatial scale variations. Our research provides multi-scale recommendations for the development of sustainable transportation, age-friendly communities, and the promotion of aging in place.</div></div>\",\"PeriodicalId\":48413,\"journal\":{\"name\":\"Journal of Transport Geography\",\"volume\":\"121 \",\"pages\":\"Article 104045\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2024-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Transport Geography\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0966692324002540\",\"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":"Journal of Transport Geography","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0966692324002540","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Spatial scale effects of transportation, social and natural attributes of street environments on perceived activity opportunities for older adults
The street environment correlates with perceived activity opportunities for older adults. While numerous studies have examined the transportation and social attributes of street environments, the natural attributes have been less explored. Furthermore, the nonlinear relationship between the street environment and perceived activity opportunities across different spatial scales remains under-researched. We hypothesize that transportation, social, and natural attributes influence perceived activity opportunities, and their nonlinear effects vary across spatial scales. Therefore, we used activity survey data and multi-source big data from Dalian, China. Employing gradient boosted decision tree (GBDT) methods, we evaluated the nonlinear correlation between the street environment and perceived activity opportunities. Our study considered three community life circle scales: 5-min, 10-min, and 15-min. The results indicated that street features varied significantly at different spatial scales. Specifically, factors such as density of street network, diversity of street interface, distance to the nearest public transport station, accessibility of green space, diversion ratio, and distance to the nearest blue space notably influence perceived activity opportunities across these scales. The study also found that the nonlinear correlations between street environments and perceived activity opportunities were prevalent and varied across spatial scales. These results suggest that priorities for street environment improvements should account for these spatial scale variations. Our research provides multi-scale recommendations for the development of sustainable transportation, age-friendly communities, and the promotion of aging in place.
期刊介绍:
A major resurgence has occurred in transport geography in the wake of political and policy changes, huge transport infrastructure projects and responses to urban traffic congestion. The Journal of Transport Geography provides a central focus for developments in this rapidly expanding sub-discipline.