Stated Preference Analysis of Feeder Service Plan from STTD to Jatimulya LRT Station, East Bekasi

Authors

  • Dwi Prasetyo Sayoto Putro Indonesian Land Transportation Polytechnic- STTD, Bekasi, Indonesia
  • Tiara Ayustian Indonesian Land Transportation Polytechnic- STTD, Bekasi, Indonesia
  • Angelina Wahyu Christyani Indonesian Land Transportation Polytechnic-STTD, Bekasi, Indonesia
  • Yugihartiman ATD Indonesian Land Transportation Polytechnic- STTD, Bekasi, Indonesia

DOI:

https://doi.org/10.38035/jsmd.v4i1.755

Keywords:

Stated Preference, Nested Logit, Feeder, Jatimulya LRT, Mode Choice, Willingness to Pay

Abstract

Development feeder services have role important in increase first-mile and last-mile integration towards system transport mass rail- based research This aim For analyze preference users to plan feeder service from STTD to Jatimulya LRT Station , East Bekasi uses Stated Preference approach and Nested Logit model. Research data obtained through survey of 276 respondents consisting​ on students, STTD staff, and the community around STTD and Grand Wisata areas . Analyzed attributes covering time travel, costs travel, frequency service , rates, and comfort . Research results show that frequency service, time travel, and fares is factor main influencing factors election mode . Feeder services have probability more elections​ tall compared to a number of fashion others , especially in conditions frequency high service and affordable rates. The model estimation results show that attribute time travel, costs travel, and fares influential negative to utilities mode, whereas frequency service influential positive to probability feeder selection . Willingness to Pay (WTP) analysis shows that respondents willing pay more For get service with time wait for more short and certain more schedule​ good. Findings study This show that development integrated feeder services with LRT potential push displacement use vehicle personal going to transportation more general​ sustainable

References

Al-Salih, W. Q., & Esztergár-Kiss, D. (2021). Linking Mode Choice with Travel Behavior by Using Logit Model Based on Utility Function. Sustainability, 13(8), 4332. https://doi.org/10.3390/su13084332

Bachok, S., & Ponrahono, Z. (2017). Modelling Willingness to Pay for Improved Public Transport Services: The Challenges of Non-Response to Stated Preference Hypothetical Questions. Planning Malaysia, 15(1), 333–346. https://doi.org/10.21837/pm.v15i1.250

Cherchi, E., & Hensher, D. A. (2015). Workshop Synthesis: Stated Preference Surveys and Experimental Design, an Audit of the Journey So Far and Future Research Perspectives. Transportation Research Procedia, 11, 154–164. https://doi.org/10.1016/j.trpro.2015.12.013

Ciulli, F., Kolk, A., & Boe-Lillegraven, S. (2024). The Governance of Gig Platform Organizations in Developing Countries: The Case of Ride-Hailing Platforms. Long Range Planning, 57(2), 102303. https://doi.org/10.1016/j.lrp.2023.102303

Eboli, L., & Mazzulla, G. (2008). Willingness-to-Pay of Public Transport Users for Improvement in Service Quality. European Transport / Trasporti Europei, 38, 107–118. http://hdl.handle.net/10077/5971

Göransson, J., & Andersson, H. (2023). Factors That Make Public Transport Systems Attractive: A Review of Travel Preferences and Travel Mode Choices. European Transport Research Review, 15, 32. https://doi.org/10.1186/s12544-023-00609-x

Kåresdotter, E., Page, J., Mörtberg, U., Näsström, H., & Kalantari, Z. (2022). First Mile/Last Mile Problems in Smart and Sustainable Cities: A Case Study in Stockholm County. Journal of Urban Technology, 29(2), 115–137. https://doi.org/10.1080/10630732.2022.2033949

Kožul, N., Šoštarić, M., & Gudelj, A. (2025). Stated Preference Approach in Shaping Urban Sustainable Mobility Planning. Systems, 13(10), 853. https://doi.org/10.3390/systems13100853

Ong, A. K. S., German, J. D., Dangaran, P. C., Paz, J. J. B., & Macatangay, R. R. G. (2024). Service Quality and Customer Satisfaction Analysis Among Motorcycle Taxi Transportation in the Philippines Through SERVQUAL Dimensions and Social Exchange Theory. Case Studies on Transport Policy, 15, 101139. https://doi.org/10.1016/j.cstp.2023.101139

Ricardianto, P., Ikhsan, R. B., Setiawan, E. B., Abdurachman, E., Suryobuwono, A. A., Nur, M., Perwitasari, E. P., Endri, E., & Setiawan, A. (2024). What Makes Consumers Attitudinal Loyalty on Ride-Hailing Services in Indonesia? Journal of Open Innovation: Technology, Market, and Complexity, 10(2), 100227. https://doi.org/10.1016/j.joitmc.2024.100227

Sogbe, E., Susilawati, S., & Pin, T. C. (2024). First-Mile and Last-Mile Externalities: Perspectives from a Developing Country. Journal of Transport Geography, 121, 104037. https://doi.org/10.1016/j.jtrangeo.2024.104037

Train, K. E. (2009). Discrete Choice Methods with Simulation (2nd ed.). Cambridge University Press. https://doi.org/10.1017/CBO9780511805271

Venter, C. J. (2020). Measuring the Quality of the First/Last Mile Connection to Public Transport. Research in Transportation Economics, 83, 100949. https://doi.org/10.1016/j.retrec.2020.100949

Wen, C.-H., & Koppelman, F. S. (2001). The Generalized Nested Logit Model. Transportation Research Part B: Methodological, 35(7), 627–641. https://doi.org/10.1016/S0191-2615(00)00045-X

World Bank. (2022). Digital Inclusion in Urban Mobility Systems. World Bank.

Published

2026-06-18

How to Cite

Putro, D. P. S., Ayustian, T., Christyani, A. W., & ATD, Y. (2026). Stated Preference Analysis of Feeder Service Plan from STTD to Jatimulya LRT Station, East Bekasi. Jurnal Siber Multi Disiplin , 4(1), 297–310. https://doi.org/10.38035/jsmd.v4i1.755