Examining Socio-Economic Inequality Among Commuters

The Case of the Jakarta Metropolitan Area

Datos Bibliográficos

ID22018630
AutoresAdiwan Fahlan Aritenang (0000-0003-3605-2673, Bandung Institute of Technology, autor de correspondencia)
Año2022
Volumen7
Número3
Páginas172-184
Fecha de publicación2022-07-29
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaUrban Planning (JOURNAL)
Identificadores de la revistaISSN: 2183-7635 • E-ISSN: 2183-7635
EditorialCogitatio (PUBLISHER • PT)
DOI10.17645/up.v7i3.5271
OpenAlexW4288697700
IdiomaEN
Citas recibidas4
Referencias citadas45

The rapid development of urban areas in surrounding regions has led to an increasing number of commuters within and between core-peripheral regions. However, variation in jobs and economic levels has exacerbated the socio-economic inequalities between metropolitan residents. Using the commuter data of the Jakarta Metropolitan Area, this study examines the socio-economic disparities of commuting behaviour, spatial patterns, and health between commuters with incomes lower and higher than the regional minimum wage. The article conducts quantitative descriptive statistics and a non-parametric test using the BPS—Statistics Indonesia 2019 commuter data that included 13,000 sample respondents from the Jakarta Province and its neighbouring districts. Our result reveals a significant impact of income level on the choice of private transportation mode, whilst having no effect on the choice of public transportation modes. Higher-income peripheral residents tend to commute to the core metropolitan area (Jakarta Province), while lower-income commuters typically travel between peripheral areas. The article also indicates the negative physical health impact of prolonged and early-hours commuting, especially for lower-income groups. The article proposes better public transportation that is convenient, safe, and reliable, to ensure a sustainable and resilient metropolitan area

Demographic economics · Descriptive statistics · Economic growth · Economics · Geography · Household income · Inequality · Metropolitan area · Public transport · Socioeconomics · Transport engineering · Engineering · Transportation Planning and Optimization · Urban Transport and Accessibility · Urban Transport Systems Analysis