esc

Type at least two characters to start searching.

↑↓ select↵ openesc close

Share

Export Citation

APA
MLA
Chicago
Harvard
Vancouver
BIBTEX
RIS
Universitas Hasanuddin
Research output:Contribution to journal›Article›peer-review

Residents’ Socioeconomic Profiles Based on Mobility Distribution in Makassar City

Rumata N.A.

Iop Conference Series Earth and Environmental Science

Published: 2026

Abstract

Abstract Rapid urbanization in Makassar City has intensified daily mobility needs and reinforced reliance on private transport, particularly motorcycles. This study examines the association between residents’ socioeconomic characteristics and transport mode choice in Makassar City, with the broader aim of informing sustainable urban transport infrastructure planning and strategies for reducing private vehicle dependence. A quantitative descriptive associative design with a cross-sectional survey was employed. Primary data were collected through structured interviews at strategic urban locations (residential areas, economic activity centres, traditional markets, and public transport corridors) on different days and at different times. Using accidental/convenience sampling, a total of 385 valid responses were obtained; the sample size was determined using Cochran’s formula. The dependent variable was the dominant mode of transport (walking/bicycling, public transport/car, motorcycle). Seven independent variables were tested using Chi-Square analysis: gender, age, employment status, education level, income level, vehicle ownership, and household size. Results show that income level is the only variable significantly associated with mode choice (χ 2 = 499.749; p < 0.001), while the other six variables are not statistically significant (p > 0.05). Motorcycles account for the largest share of overall use (41.8%) and are highly prevalent among low- to middle-income groups (>80%). In contrast, high-income respondents (>3× the minimum wage) rely overwhelmingly on public transport/car (97.6%). These findings are interpreted as an indicator of underperformance in urban transport infrastructure, signalling that the formal public transport network fails to deliver equitable, sustainable mobility for the majority of the population. The study concludes that income-stratified mode choice constitutes a diagnostic baseline for prioritizing infrastructure investments and recommends spatially targeted transit expansion, progressive fare policies, and land use–transport integration as complementary strategies to achieve sustainable urban mobility in Makassar.

Other files and links

Fingerprint

Public transportSciences
Socioeconomic statusSciences
UrbanizationSciences
Sample (material)Sciences
Distribution (mathematics)Sciences
Mode (computer interface)Sciences
GeographySciences
Mode choiceSciences
Car ownershipSciences
Household incomeSciences
SocioeconomicsSciences
Descriptive statisticsSciences
BusinessSciences
Mode of transportSciences
Variable (mathematics)Sciences
Survey data collectionSciences
VariablesSciences
Sustainable transportSciences
Transportation planningSciences
Survey samplingSciences
Demographic economicsSciences
Private transportSciences
Descriptive researchSciences
Survey methodologySciences
Economic growthSciences
Sustainable developmentSciences
Data collectionSciences
Sample size determinationSciences
Urban planningSciences
Public policySciences