{"title":"The impact of perceived income level on commuting time: Evidence from Shanghai, China","authors":"Jia Tang , Shanqi Zhang , Mei Zhang","doi":"10.1016/j.tbs.2024.100862","DOIUrl":null,"url":null,"abstract":"<div><p>Although a large number of studies have found that actual income level significantly affects individuals’ commuting time, from the perspective of bounded rationality, the formation of commuting time is inevitably influenced by individuals’ perceived socioeconomic status. However, there are few empirical studies on how perceived income level, which better measures an individual’s socioeconomic status based on social comparison, affects commuting time. Using a path analysis on a 2020 dataset of Shanghai, China, this study investigates the effect of perceived income level on commuting time, and compares it with the effect of actual income level. Empirical results indicate that actual income level positively impacts perceived income level, and both significantly influence commuting time through the job-housing relationship. However, perceived income level has a negative effect on commuting time, reflecting the matching effect between the perception on socioeconomic status and commuting time. Actual income level has a positive effect on commuting time, supporting the compensation effect between objective income level and commuting time. Nevertheless, under urban development and renewal processes, individuals with lower actual incomes might extend their commuting times and resign themselves to commuting inequality due to the influence of perceived income levels. This study provides a new framework for understanding commuting inequality from an income perspective, and offers insights for optimizing commuting time through urban planning.</p></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"37 ","pages":"Article 100862"},"PeriodicalIF":5.1000,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Travel Behaviour and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214367X2400125X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0
Abstract
Although a large number of studies have found that actual income level significantly affects individuals’ commuting time, from the perspective of bounded rationality, the formation of commuting time is inevitably influenced by individuals’ perceived socioeconomic status. However, there are few empirical studies on how perceived income level, which better measures an individual’s socioeconomic status based on social comparison, affects commuting time. Using a path analysis on a 2020 dataset of Shanghai, China, this study investigates the effect of perceived income level on commuting time, and compares it with the effect of actual income level. Empirical results indicate that actual income level positively impacts perceived income level, and both significantly influence commuting time through the job-housing relationship. However, perceived income level has a negative effect on commuting time, reflecting the matching effect between the perception on socioeconomic status and commuting time. Actual income level has a positive effect on commuting time, supporting the compensation effect between objective income level and commuting time. Nevertheless, under urban development and renewal processes, individuals with lower actual incomes might extend their commuting times and resign themselves to commuting inequality due to the influence of perceived income levels. This study provides a new framework for understanding commuting inequality from an income perspective, and offers insights for optimizing commuting time through urban planning.
期刊介绍:
Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.