Influence of Socio-Economic Characteristic on Travel Behaviour in Malang City

Authors

  • Taufikkurrahman Taufikkurrahman Universitas Islam Sultan Agung
  • Pratikso Pratikso Universitas Islam Sultan Agung
  • Kartono Wibowo Universitas Islam Sultan Agung

DOI:

https://doi.org/10.59261/jequi.v8i3.369

Keywords:

Travel Behaviour, Socio-Economic Characteristics, Stepwise Regression, Urban Mobility

Abstract

Background: Rapid urbanization and economic growth in Malang City have significantly influenced urban mobility patterns, increasing dependence on private vehicles and reshaping commuting behavior. Understanding the socio-economic determinants of travel behavior is therefore essential for sustainable transport planning in secondary cities in Indonesia.

Objective: This study analyzes the relationship between socio-economic factors (such as age, income, education, occupation, gender, household size, and vehicle ownership) and daily travel behavior in Malang City, including trip frequency, trip purpose, and transport mode choice.

Methods: A quantitative cross-sectional design was applied using a structured questionnaire distributed to 200 households selected through non-probability sampling. The data were analyzed using descriptive statistics and stepwise multiple linear regression to examine the effects of socio-economic variables on different dimensions of travel behavior.

Results: Education was the only significant predictor of trip frequency (B = 0.081, p < 0.001; R² = 0.140). For trip purpose, the model demonstrated strong explanatory power (R² = 0.610, F = 50.300, p < 0.001), with occupation (β = 0.706, p < 0.001), education (β = 0.132, p = 0.006), and income (β = −0.107, p = 0.021) identified as significant determinants. However, none of the socio-economic variables significantly influenced transport mode choice (R² = 0.010, p = 0.931), indicating that infrastructure conditions and transport service availability may play a more dominant role in determining mode selection.

Conclusion: Socio-economic factors influence travel behavior differently across various dimensions. While these factors significantly affect trip frequency and trip purpose, they do not determine transport mode choice.

Downloads

Download data is not yet available.

References

Acharjee, A., & Sarkar, P. P. (2021). Influence of attitude on bicycle users and non-users: A case study of Agartala City, India. Transportation Research Part D: Transport and Environment, 97(June), 102905. https://doi.org/10.1016/j.trd.2021.102905

Aderibigbe, O., & Gumbo, T. (2022). Influence of Socio-economic Attributes on Travel Behaviour in the Rural Areas of Nigeria : Towards a Sustainable Rural Planning and Development Influence of Socio-economic Attributes on Travel Behaviour in the Rural Areas of Nigeria : Towards a Sustainabl. https://doi.org/10.1080/21650020.2022.2072946

Alizadeh, H., & Sharifi, A. (2023). Analyzing Urban Travel Behavior Components in Tehran, Iran. Future Transportation, 3(1), 236–253. https://doi.org/10.3390/futuretransp3010014

Anwari, N., Ahmed, M. T., Islam, M. R., Hadiuzzaman, M., & Amin, S. (2021). Exploring the travel behavior changes caused by the COVID-19 crisis: A case study for a developing country. https://doi.org/10.1016/j.trip.2021.100334

Ashik, F. R., Barrington-Leigh, C. P., & Manaugh, K. (2025). Built environment’s main and moderating associations with travel mode choice across trip purposes. Journal of Transport Geography, 129, 104434.

Bakhtiari Mirzahossein, H., Kalantari, N., A., & Jin, X. (2023). Inferring Socioeconomic Characteristics from Travel Patterns. https://doi.org/10.5614/jpwk.2023.34.1.7

Basalim, S. (2025). Assessing the Potential for Transportation Mode Switching in Mid-Sized Urban Areas Using Binary Logistic Regression. 13(December 2024), 223–232.

Basarić, V., Vujičić, A., Simić, J. M., Bogdanović, V., & Saulić, N. (2016). Gender and Age Differences in the Travel Behavior - A Novi Sad Case Study. Transportation Research Procedia, 14, 4324–4333. https://doi.org/10.1016/j.trpro.2016.05.354

Borker, G. (2024). Understanding the constraints to women’s use of urban public transport in developing countries. World Development, 180(February), 1–14. https://doi.org/10.1016/j.worlddev.2024.106589

BPS kota malang. (2023). Kota Malang Dalam Angka, Malang Municipality in Figures 2023.

Convery, S. (2019). Determinants of Transport Mode Choice for Non-Commuting Trips : The Roles of Transport , Land Use and Socio-Demographic Characteristics. 1–25.

Damanik, J., Priyambodo, T. K., Wibowo, M. E., Pitanatri, P. D. S., & Wachyuni, S. S. (2023). Travel behaviour differences among Indonesian youth in Generations Y and Z: pre-, during and post-travel. Consumer Behavior in Tourism and Hospitality, 18(1), 35–48. https://doi.org/10.1108/CBTH-07-2021-0184

Darwish, A. M., Zagow, M., & Elkafoury, A. (2023). Impact of land use, travel behavior, and socio-economic characteristics on carbon emissions in cool-climate cities, USA. Environmental Science and Pollution Research, 30(39), 91108–91124.

Domeneghini, J., Zampieri, F. L., & Correa, A. S. (2026). Porto Alegre’s urban parks: accessibility and socioeconomic exclusion. Finisterra, 61(131), e41818–e41818.

Etminani, R., & Ardeshiri, M. (2016). The impacts of built environment on home-based work and non-work trips: An empirical study from Iran. Transportation Research Part A: Policy and Practice, 85, 196–207. https://doi.org/10.1016/j.tra.2016.01.013

Feng, J., Dijst, M., Wissink, B., & Prillwitz, J. (2013). The impacts of household structure on the travel behaviour of seniors and young parents in China. Journal of Transport Geography, 30, 117–126. https://doi.org/10.1016/j.jtrangeo.2013.03.008

Gramsch-Calvo, B., & Axhausen, K. W. (2024). Exploring the influence of social relations and knowledge of the urban environment on leisure travel. Journal of Transport Geography, 117(March), 103860. https://doi.org/10.1016/j.jtrangeo.2024.103860

Haldar, N., & Mistri, T. (2025). Exploring the socio-economic determinants of transport mode choice: A case study of Burdwan city, India. Case Studies on Transport Policy, 20(March), 101425. https://doi.org/10.1016/j.cstp.2025.101425

Harms, L., Bertolini, L., & te Brömmelstroet, M. (2014). Spatial and social variations in cycling patterns in a mature cycling country exploring differences and trends. Journal of Transport and Health, 1(4), 232–242. https://doi.org/10.1016/j.jth.2014.09.012

Hasibuan, H. S., Permana, C. T., Elizandri, B. N., Asrofani, F. W., Harmain, R., & Putra, D. P. (2025). Sustainable Mobility in Jakarta’s Transit-Oriented Development: Energy Savings and Emission Reduction Strategies. Sustainability, 17(23), 10603.

Hasibuan, S. H., Soemardi, T. P., Koestoer, R., & Moersidik, S. (2014). The Role of Transit Oriented Development in constructing urban environment sustainability , the case of Jabodetabek , Indonesia. Procedia Environmental Sciences, 20, 622–631. https://doi.org/10.1016/j.proenv.2014.03.075

Ipingbemi, O. (2010). Travel characteristics and mobility constraints of the elderly in Ibadan, Nigeria. Journal of Transport Geography, 18(2), 285–291. https://doi.org/10.1016/j.jtrangeo.2009.05.011

Jain, D., & Tiwari, G. (2019). Explaining travel behaviour with limited socio-economic data: Case study of Vishakhapatnam, India. Travel Behaviour and Society, 15(October 2018), 44–53. https://doi.org/10.1016/j.tbs.2018.12.001

Jamal, S., Newbold, K. B., & Scott, D. M. (2023). Analysis of millennials and older adults’ automobility behavior in Hamilton, Ontario. Urban, Planning and Transport Research, 11(1), 1–23. https://doi.org/10.1080/21650020.2023.2197979

Jeung, J. Y., & Seungil, L. (2013). Analyzing weekend leisure travel behavior characteristics by reference group focused on family life cycle: A case study of Seoul. Proceedings of CUPUM 2013: 13th International Conference on Computers in Urban Planning and Urban Management - Planning Support Systems for Sustainable Urban Development, 1–15.

Kanimozhee, S., & Srikanth, S. (2023). Analysis of Non-workers Activity-Travel Mode Choice Behaviour for the Effective Usage of Sustainable Transportation Infrastructure. https://doi.org/10.1088/1755-1315/1280/1/012045

Kotval-K, Z., & Vojnovic, I. (2015). The socio-economics of travel behavior and environmental burdens: A Detroit, Michigan regional context. Transportation Research Part D: Transport and Environment, 41, 477–491. https://doi.org/10.1016/j.trd.2015.10.017

Kurniasari;, I Made Dyah Ryana, P. G. A. Y. (2025). Women on the move: how socio-economic background through lifestyle shapes travel behavior to bali. 23(1), 208–224.

Larranaga, A. M., & Cybis, H. B. B. (2014). The relationship between built environment and walking for different trip purposes in porto alegre, Brazil. https://doi.org/10.2495/SDP-V9-N4-568-580

Li, J., Lo, K., & Guo, M. (2018). Do Socio-Economic Characteristics Affect Travel Behavior ? A Comparative Study of Low-Carbon and Non-Low-Carbon Shopping Travel in Shenyang City , China. International Journal of Environmental Research and Public Health, 15 (1346), 1–11. https://doi.org/10.3390/ijerph15071346

Lin, T., & Wang, D. (2014). Social networks and joint/solo activity-travel behavior. Transportation Research Part A: Policy and Practice, 68, 18–31. https://doi.org/10.1016/j.tra.2014.04.011

Litman, T. A. (2007). Land Use Impacts on Transport How Land Use Factors Affect Travel Behavior Land Use Impacts On Transportation.

Manoj, M., & Verma, A. (2013). Analysis and Modelling of Activity-travel Behaviour of Non- workers from a City of Developing Country, India. https://doi.org/10.1016/j.sbspro.2013.11.156

Matsuyuki, M., & Rinchumphu, D. (2001). Study on Transportation Behavior of Middle-Class Households with Children in Bangkok , Thailand. Proceedings of the Eastern Asia Society for Transportation Studies, Vol.11, 1–13.

Maulana, R. H. Y. (2020). Socio-Economic Factors Affecting The Choice. 16(4), 245–252.

McCarthy, L., Delbosc, A., Currie, G., & Molloy, A. (2017). Factors influencing travel mode choice among families with young children (aged 0–4): a review of the literature. Transport Reviews, 37(6), 767–781. https://doi.org/10.1080/01441647.2017.1354942

Mohamed, A. R., & Arunasalam, V. (2025). Digital Economic Community and Transforming Urban Living and Mobility Planning and Design—A Case of Peri-Urban Chennai, India. In Indo-Pacific Core and Peripheral Digital Economic Communities (pp. 167–194). Springer.

Mukherjee, J., & Raghuram Kadali, B. (2022). A comprehensive review of trip generation models based on land use characteristics. https://doi.org/10.1016/j.trd.2022.103340

Mwale, M., Pisa, N., & Luke, R. (2024). Travel mode choices of residents in developing cities: A case study of Lusaka, Zambia. Journal of Transport and Supply Chain Management, 18, 1–14. https://doi.org/10.4102/jtscm.v18i0.1005

Onderwater, M., Boisjoly, G., & El-Geneidy, A. (2019). Influence of Travel Behavior, Personal Preferences, and Lifestyle on Perceived Convenience to Amenities among Calgary Residents. Transportation Research Record, 2673(8), 508–522. https://doi.org/10.1177/0361198119844967

Paydar, M., & Fard, A. K. (2025). Travel mode choice of the commuters in Temuco, Chile: The association of personal factors and perceived built environment. Transportation Research Interdisciplinary Perspectives, 31, 101412.

Phan, K., Chen, S., Pai, W., Lee, J., & Hsieh, C. (2025). How Travel-Related Factors and the Socioeconomic Characteristics of Tourists Shape Tourism Demand ? New Evidence from the Role of Satisfaction. 1, 1–26. https://doi.org/10.1177/21582440251335471

Pike, S., & Lubell, M. (2016). Geography and social networks in transportation mode choice. Journal of Transport Geography, 57, 184–193. https://doi.org/10.1016/j.jtrangeo.2016.10.009

Pourramazani, H., & Miralle-garcia, J. L. (2023). International Journal of Transport Development and Integration. 7(3), 167–176.

Puhe, M., Schippl, J., Fleischer, T., & Vortisch, P. (2021). Social network approach to analyze stability and variability of travel decisions. Transportation Research Record, 2675(9), 398–407. https://doi.org/10.1177/03611981211002200

Rahjasa, S. L., Prasasti, G., & Apriliani, K. M. (2024). How Travel Influencer and Social Media Influence Tourist Travel Decision to Ubud. TRJ Tourism Research Journal, 8(1), 127–141. https://doi.org/10.30647/trj.v8i1.243

Rakhmatulloh, A. R., Dewi, D. I. K., & Nugraheni, D. M. K. (2020). Analysis of Pedestrian Travel Demand for Bus Trans Semarang through 3D Method (Density, Diversity, Design). Jurnal Teknik Sipil Dan Perencanaan, 22(2), 127–136. https://doi.org/10.15294/jtsp.v22i2.26218

Ramezani, S., Soinio, L., Kyttä, M., & Weitkamp, G. (2025). Mobility lifestyles and residential dissonance; Effects on travel behavior, perceived health, and life satisfaction. Transportation Research Interdisciplinary Perspectives, 31(March), 1–15. https://doi.org/10.1016/j.trip.2025.101405

Ranjan, R., & Sinha, S. (2025). A systematic review of mode choice behavior in urban transportation with emphasis on individual preferences and influencing factor.

Scheiner, J. (2020). Changes in travel mode use over the life course with partner interactions in couple households. Transportation Research Part A: Policy and Practice, 132(June 2019), 791–807. https://doi.org/10.1016/j.tra.2019.12.031

Seyfi, S., Kuhzady, S., Rastegar, R., Vo-Thanh, T., & Zaman, M. (2025). Exploring the dynamics of tourist travel intention before and during the COVID-19 pandemic: A scoping review. Tourism Recreation Research, 50(4), 701–714.

Sharma, A., Gani, A., Asirvatham, D., Ahmed, R., Hamzah, M., & Asli, M. F. (2021). Travel Behavior Modeling: Taxonomy, Challenges, and Opportunities. International Journal of Advanced Computer Science and Applications, 12(5), 774–786. https://doi.org/10.14569/IJACSA.2021.0120590

Silm, S., Tominga, A., Saidla, K., Poom, A., & Tammaru, T. (2024). Socio-economic and residential differences in urban modality styles based on a long-term smartphone experiment. Journal of Transport Geography, 115(December 2022), 103810. https://doi.org/10.1016/j.jtrangeo.2024.103810

Srinivasan Lakshmi Bhargavi, P. V., Ramadurai, G., Muthuram, V., K. K., & Srinivasan, S. (2007). Determinants of changes in mobility and travel patterns in developing countries: Case study of Chennai, India. https://doi.org/10.3141/2038-06

Srinivasan, S., & Rogers, P. (2005). Travel behavior of low-income residents: Studying two contrasting locations in the city of Chennai, India. Journal of Transport Geography, 13(3), 265–274. https://doi.org/10.1016/j.jtrangeo.2004.07.008

Statistik, B. P. (2023). Kota Malang Dalam Angka 2023. Badan Pusat Statistik, 1–458.

Szeto, Y. L., Wong, R. C. P., Li, Y. C., W. Y., & Wong, S. C. (2017). Spatio-temporal travel characteristics of the elderly in an ageing society. https://doi.org/10.1016/j.tbs.2017.07.005

Tanjung, L. E., Dharmowijoyo, Yurnalis, F., Hartieni, P., Wicaksono, A., Puri, A., & Ali, M. (2023). The impact of activity travel participation on the individual’s mental and social health. AIP Conference Proceedings, 2711(January). https://doi.org/10.1063/5.0136982

Tantowi, A. (2022). Determinants of domestic tourism demand in indonesia. 7(2), 185–196. https://doi.org/10.20473/jiet.v7i2.38817

Thøgersen, J. (2018). Transport-related lifestyle and environmentally-friendly travel mode choices: A multi-level approach. Transportation Research Part A: Policy and Practice, 107(June 2016), 166–186. https://doi.org/10.1016/j.tra.2017.11.015

Tikoudis, I., Carrone, A. P., Mebiame, R. M., Lamhauge, N., Hassett, K., & Bystrom, O. (2024). Household transport choices: New empirical evidence and policy implications for sustainable behaviour (Issue 246).

Vanderschuren, M., & Lane-Visser, T. (2025). Transport equity in South Africa - How much progress was made over the last two decades? African Transport Studies, 3(August 2024), 100057. https://doi.org/10.1016/j.aftran.2025.100057

Wang, Y., Li, L., Wang, L., Moore, A., Staley, S., & Li, Z. (2014). Modeling traveler mode choice behavior of a new high-speed rail corridor in China. Transportation Planning and Technology, 37(5), 466–483. https://doi.org/10.1080/03081060.2014.912420

Wang, Z., He, S. Y., & Leung, Y. (2018). Applying mobile phone data to travel behaviour research: A literature review. Travel Behaviour and Society, 11, 141–155. https://doi.org/10.1016/j.tbs.2017.02.005

Wicaksono, A., Nugroho, M. W., Dharmowijoyo, D. B. E., & Zainul Arifin, M. (2020). Initial study on the daily activity, trip arrangement, the use of ICT and social-economic characteristic in malang city. Journal of Advanced Research in Dynamical and Control Systems, 12(3 Special Issue), 1101–1106. https://doi.org/10.5373/JARDCS/V12SP3/20201356

Wu, J., Wang, B., Ta, N., Zhou, K., & Chai, Y. (2020). Does street greenery always promote active travel? Evidence from Beijing. Urban Forestry and Urban Greening, 56(September). https://doi.org/10.1016/j.ufug.2020.126886

Zhang, J., Wang, F., Shao, C., & Mi, X. (2020). Structural equation modelling of household long-distance flexible travel behavior. International Journal of Sustainable Development and Planning, 15(4), 461–467. https://doi.org/10.18280/ijsdp.150406

Zhang, M., & Zhao, P. (2017). The impact of land-use mix on residents’ travel energy consumption: New evidence from Beijing. Transportation Research Part D: Transport and Environment, 57(October), 224–236. https://doi.org/10.1016/j.trd.2017.09.020

Zhang, Y., Manley, E., Martens, K., & Batty, M. (2024). A metro smart card data-based analysis of group travel behaviour in Shanghai, China. Journal of Transport Geography, 114(March 2023), 103764. https://doi.org/10.1016/j.jtrangeo.2023.103764

Zou, Y., Han, W., Lin, B., Wu, B., Li, L., Wu, S., & Abid, M. M. (2023). Cross-Border Travel Behavior Analysis of Hong Kong-Zhuhai-Macao Bridge Using MXL-BMA Model. Journal of Advanced Transportation, 2023, 1–12. https://doi.org/10.1155/2023/6690346

Downloads

Published

2026-07-18