Investigating Local Travel Behavior Shifts Toward Eco-Transport Modes in Evolving Urban Corridors

Authors

  • Taufikkurrahman Taufikkurrahman Universitas Islam Sultan Agung
  • Pratikso Pratikso Universitas Islam Sultan Agung
  • Kartono Wibowo Universitas Islam Sultan Agung
  • Lila Kurnia Wardani Universitas Wisnuwardhana Malang

DOI:

https://doi.org/10.55927/fjst.v4i12.334

Keywords:

Travel Behavior, Eco-Transport Modes, Urban Corridors

Abstract

This study examines the shift toward environmentally friendly travel modes in the Tlogomas–Dinoyo urban corridor of Malang City by analyzing the factors that drive or hinder local travel behavior. Using a mixed-methods Sequential Explanatory design, quantitative data were collected through a survey of 100 corridor users, followed by in-depth interviews with 8 key informants to enrich and clarify the findings. Descriptive statistics and logistic regression show a moderate shift toward eco-transport modes driven by rising congestion, increasing travel costs, and the availability of pedestrian and cycling facilities. However, connectivity issues and safety concerns remain major barriers. The study concludes that accelerating behavioral change requires improved green infrastructure, better integration of low-emission modes, and user-responsive transport planning to support sustainable mobility in urban transportation engineering.

References

Acheampong, R. A., & Siiba, A. (2020). Modelling the determinants of car-sharing adoption intentions among young adults: Insights from Ghana. Transportation Research Part D: Transport and Environment, 82, 102319.

Ahmed, T., Pirdavani, A., Wets, G., & Janssens, D. (2024). Bicycle infrastructure design principles in urban bikeability indices: A systematic review. Sustainability, 16(6), 2545.

Benito-Moreno, M., Carpio-Pinedo, J., & Lamíquiz-Daudén, P. J. (2022). Determinants of low-carbon transport mode adoption: A systematic review of reviews. Urban Science, 4(4), 122.

Braun, V., & Clarke, V. (2022). Toward good practice in thematic analysis: Avoiding common problems and be(com)ing a knowing researcher. International Journal of Transgender Health.

Braun, V., & Clarke, V. (2022). Thematic analysis: A practical guide. Qualitative Research in Psychology, 19(3), 424–445.

Cao, B., Sun, M., & Bardhan, R. (2024). Measuring shaded bike lanes for heat stress mitigation with deep learning: A case study in Amsterdam, Netherlands. Urban Climate, 57, 102126.

Carter, N., Bryant-Lukosius, D., DiCenso, A., Blythe, J., & Neville, A. J. (2021). The use of triangulation in qualitative research. International Journal of Nursing Studies, 129, 103848.

Cervero, R., Murakami, J., & Kang, C.-D. (2020). Low-carbon transportation-oriented urban spatial structure: Theory, model, and case study. Sustainability, 10(1), 19.

Centre for Territory Ambient and Construction. (2024). Decarbonizing urban mobility: Methodology for shifting modal shares to achieve CO₂ reduction targets. Sustainability, 16(16), 7049.

Cohen, S. A., Hopkins, D., & Higham, J. (2022). Urban mobilities in a post-COVID world: New insights into travel behaviour adaptations. Journal of Transport Geography, 98, 103254.

Creswell, J. W., & Creswell, J. D. (2024). Designing and conducting mixed methods research in applied settings. Qualitative Research in Psychology, 21(1), 102–120.

Delclòs-Alió, X., & den Hoed, W. (2024). Perceptions of potential cycling infrastructure in a low-cycling context: Evidence from a medium-sized urban area. International Journal of Sustainable Transportation, 18(12), 999–1011.

Ding, K., Zhang, Y., Zhou, X., Guo, H., & Peng, R. (2025). Stratified assessment of urban low-carbon travel potential. Promet – Traffic & Transportation, 37(1).

Etikan, I. (2023). Sampling and sampling methods in qualitative research. BMC Medical Research Methodology, 23(1), 56.

Gössling, S. (2020). Integrating e-scooters in urban transport systems: Problems, policies, and the prospect of system change. Transportation Research Part D: Transport and Environment, 79, 102230.

Kallio, H., Pietilä, A.-M., Johnson, M., & Kangasniemi, M. (2021). Systematic methodological support for creating interview guides for qualitative studies. Nurse Education Today, 106, 105135.

Mehmood, S., & Zhou, Z. (2023). Pro-environmental attitudes, e-bike adoption motivations, and tourist green behavior. Leisure Sciences.

Moerman, A. (2022). Encouraging a modal shift to passenger transport: The role of public transport quality attributes. Sustainability, 14(15), 9701.

Nikitas, A., Tsigdinos, S., Karolemeas, C., Kourmpa, E., & Bakogiannis, E. (2021). Cycling in the era of COVID-19: Lessons learnt and best practices for post-pandemic sustainable mobility. Sustainability, 13(9), 4620.

Schwarz, L., Keler, A., & Krisp, J. M. (2022). Improving urban bicycle infrastructure—An exploratory study based on the effects from the COVID-19 lockdown. Journal of Urban Mobility, 2, 100013.

Steinacker, C., Storch, D.-M., Timme, M., & Schröder, M. (2022). Demand-driven design of bicycle infrastructure networks for improved urban bikeability. Nature Computational Science, 2, 655–664.

Timmons, S., et al. (2024). Active travel infrastructure design and implementation: Insights from behavioral science. WIREs Climate Change.

Urrutia-Mosquera, J., Flórez-Calderón, L., Cortés, Y., Troncoso, R., & Lufin, M. (2024). Impact of urban facilities spatial inequality on sustainable travel mode choice. PLOS ONE, 19(10), e0308610.

Zhao, X., Ma, L., Wang, Y., & Yang, H. (2023). Modeling active travel behavior and environmental perceptions in urban corridors. Transportation Research Part C: Emerging Technologies, 154, 104298.

Published

2025-12-31