{"title":"Active transportation and well-being among different age groups: A network analysis approach in Taiwan","authors":"Wan-Chen Hsu , Pei-Shan Liao , Susan C. Hu","doi":"10.1016/j.jth.2025.102178","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Active transportation has well-documented benefits for both personal health and environmental sustainability, yet its adoption rate remains relatively low in many developed contexts. A life course perspective helps understand how transportation behaviors and their implications for well-being evolve alongside age-related changes. This study examines how the relationship between active transportation and well-being is embedded within broader sociodemographic, health, and environmental perception contexts across different age groups.</div></div><div><h3>Method</h3><div>Using nationally representative web survey data from Taiwan in 2019 (N = 1437), we applied network analysis to map the interconnections among multidimensional factors. Analyses were stratified across four life stages: Early adulthood (18–29 years), Prime adulthood (30–49 years), Mature adulthood (50–64 years), and Older adulthood (65+ years).</div></div><div><h3>Results</h3><div>The sample revealed low rates of active transportation usage in Taiwan, with walking and cycling accounting for only 5.3 % and public transportation for 20.2 %. Network analysis indicated that active transportation was not directly associated with well-being but exerted indirect effects through the perceived availability of pedestrian space. Age-specific patterns showed that sociodemographic factors, including education and income, influenced active transportation across all age groups, becoming stronger from prime adulthood and peaking in mature adulthood; being female had a direct association only in mature adulthood. In older adulthood, eye discomfort emerged as a key factor shaping transportation choices.</div></div><div><h3>Discussion</h3><div>These results support life course theory, highlighting that the well-being benefits of active transportation are shaped by age-specific sociodemographic constraints and environmental factors. Transportation planning should consider age-specific needs and prioritize pedestrian infrastructure to better support population mobility and well-being.</div></div>","PeriodicalId":47838,"journal":{"name":"Journal of Transport & Health","volume":"45 ","pages":"Article 102178"},"PeriodicalIF":3.3000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Transport & Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214140525001987","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Active transportation has well-documented benefits for both personal health and environmental sustainability, yet its adoption rate remains relatively low in many developed contexts. A life course perspective helps understand how transportation behaviors and their implications for well-being evolve alongside age-related changes. This study examines how the relationship between active transportation and well-being is embedded within broader sociodemographic, health, and environmental perception contexts across different age groups.
Method
Using nationally representative web survey data from Taiwan in 2019 (N = 1437), we applied network analysis to map the interconnections among multidimensional factors. Analyses were stratified across four life stages: Early adulthood (18–29 years), Prime adulthood (30–49 years), Mature adulthood (50–64 years), and Older adulthood (65+ years).
Results
The sample revealed low rates of active transportation usage in Taiwan, with walking and cycling accounting for only 5.3 % and public transportation for 20.2 %. Network analysis indicated that active transportation was not directly associated with well-being but exerted indirect effects through the perceived availability of pedestrian space. Age-specific patterns showed that sociodemographic factors, including education and income, influenced active transportation across all age groups, becoming stronger from prime adulthood and peaking in mature adulthood; being female had a direct association only in mature adulthood. In older adulthood, eye discomfort emerged as a key factor shaping transportation choices.
Discussion
These results support life course theory, highlighting that the well-being benefits of active transportation are shaped by age-specific sociodemographic constraints and environmental factors. Transportation planning should consider age-specific needs and prioritize pedestrian infrastructure to better support population mobility and well-being.