Development of an Instrument to Evaluate the Physical Integration of Public Transport Systems in Transit Hub
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Irvan Timotius*
Nahry Nahry
Public transport hubs are places where public transport passengers transfer between modes. Several transit hubs in Jakarta, including the Dukuh Atas area, face physical integration issues such as the absence of minimum standards, unclear circulation, suboptimal spatial layout, and the lack of an operational evaluation instrument. This study aims to develop an instrument for evaluating the physical integration of public transport systems at transit hubs from the pedestrian perspective. The study uses the Large-scale Analytic Hierarchy Process (LAHP) to determine category and indicator weights, document analysis to formulate minimum criteria, and a user acceptance survey to assess the acceptability of physical criteria in the context of transfers between MRT Dukuh Atas and Sudirman Commuter Line Station. The results show that the Walking Distance and Transfer Time category has the highest weight of 0.4648. The three indicators with the highest global weights are Transfer Time (0.2320), Walking Distance (0.1362), and Mobility Assistance (0.0966). The user acceptance survey produced an overall mean score of 4.19 on a 1-6 scale, with 11 out of 12 indicators significantly accepted above the neutral point of 3.5. The final instrument combines LAHP global weights, minimum criteria, field measurement procedures, and a condition scoring scale, allowing it to evaluate the physical condition of transit hubs and identify priority improvements for intermodal transfer facilities.
American Public Transportation Association (APTA). (1994). Glossary of Transit Terminology. American Public Transportation Association (APTA).
Bryniarska, Z., & Zakowska, L. (2017). Multi-criteria evaluation of public transport interchanges. Transportation Research Procedia, 24, 25–32. https://doi.org/10.1016/j.trpro.2017.05.063
Cascetta, E. (2001). Transportation Systems. In Applied Optimization (pp. 1–22). Springer US. https://doi.org/10.1007/978-1-4757-6873-2_1
Chen, E., Stathopoulos, A., & Nie, Y. (Marco). (2022). Transfer station choice in a multimodal transit system: An empirical study. Transportation Research Part A: Policy and Practice, 165, 337–355. https://doi.org/10.1016/j.tra.2022.09.014
Horjus, J. S., Gkiotsalitis, K., Nijënstein, S., & Geurs, K. T. (2022). Integration of shared transport at a public transport stop: mode choice intentions of different user segments at a mobility hub. Journal of Urban Mobility, 2, 100026. https://doi.org/10.1016/j.urbmob.2022.100026
Ibrahim, M. F. (2003). Improvements and integration of a public transport system: the case of Singapore. Cities, 20(3), 205–216. https://doi.org/10.1016/s0264-2751(03)00014-3
Li, L., & Loo, B. P. Y. (2016). Towards people-centered integrated transport: A case study of Shanghai Hongqiao Comprehensive Transport Hub. Cities, 58, 50–58. https://doi.org/10.1016/j.cities.2016.05.003
Liu, J., & Chen, X. (2019). Simulation of passenger motion in metro stations during rush hours based on video analysis. Automation in Construction, 107, 102938. https://doi.org/10.1016/j.autcon.2019.102938
Nosal, K., & Solecka, K. (2014). Application of AHP Method for Multi-criteria Evaluation of Variants of the Integration of Urban Public Transport. Transportation Research Procedia, 3, 269–278. https://doi.org/10.1016/j.trpro.2014.10.006
Saaty, T. L. (1980). The analytic hierarchy process. McGraw-Hill.
Saliara, K. (2014). Public Transport Integration: The Case Study of Thessaloniki, Greece. Transportation Research Procedia, 4, 535–552. https://doi.org/10.1016/j.trpro.2014.11.041
Taborda, S., Henriques, F., Carvalho, G., Magalhães, L., & Banza, M. (2023). People-centred design methods in a local decision-making process: masterplan for Lisbon’s multimodal mobility hubs. Transportation Research Procedia, 72, 900–907. https://doi.org/10.1016/j.trpro.2023.11.500
Xanthopoulos, S., van der Tuin, M., Sharif Azadeh, S., Correia, G. H. de A., van Oort, N., & Snelder, M. (2024). Optimization of the location and capacity of shared multimodal mobility hubs to maximize travel utility in urban areas. Transportation Research Part A: Policy and Practice, 179, 103934. https://doi.org/10.1016/j.tra.2023.103934
Yannis, G., Kopsacheili, A., Dragomanovits, A., & Petraki, V. (2020). State-of-the-art review on multi-criteria decision-making in the transport sector. Journal of Traffic and Transportation Engineering (English Edition), 7(4), 413–431. https://doi.org/10.1016/j.jtte.2020.05.005
Yatskiv, I., Budilovich, E., & Gromule, V. (2017). Accessibility to Riga Public Transport Services for Transit Passengers. Procedia Engineering, 187, 82–88. https://doi.org/10.1016/j.proeng.2017.04.353
Yu, B., Xiao, Z., Dai, Y., & Xu, Z. (2025). Large-scale analytic hierarchy process method based on fuzzy-rough-advantage relation. Engineering Applications of Artificial Intelligence, 152, 110699. https://doi.org/10.1016/j.engappai.2025.110699











