Feeder Bus Reformation for an Urban Rail Project: The Case of Khon Kaen City, Thailand
DOI:
https://doi.org/10.5614/jpwk.2022.33.2.5Keywords:
Urban rail, Multimodal transportation, Accessibility index, Feeder, Demand-responsive connectionAbstract
The ability to use public transportation should be available throughout the whole service area and the public transportation network should be well connected. This research compared the potential coverage of a feeder bus network in support of urban rail transportation, as well as the impact of future transit network plans on public transportation accessibility in the city of Khoan Kaen, Thailand. The performance of the public transportation system was predicted based on multimodal transport and the completed urban rail public transportation plan, as projected in the year 2036, in order to fill gaps in the existing feeder bus network. The feasibility and characteristics of the route reformation policy concept should provide an effective feeder network for the urban rail system. A comparative study was conducted on stakeholder impact for a three-fold scenario: 1) separate individual lines for bus routes; 2) both forms of feeder bus networks (conventional and reformed); and 3) access to three designated utility areas from the entire feeder bus network. In this scenario, the most effective urban mobility support was provided by public facilities combined with a major roadway directly connecting to the designated positions. The time used on the extended bus route network increased by around 11% on average for the entire trip, while accessibility increased by approximately 67.75%, 47.9%, and 43.68% for the entire multimodal transport network. These analytical results make a significant contribution to future knowledge on urban transformation through urban mass transit projects. The contribution of land acquisition was significant. Also, the demand-responsive connection approach used in this study can be adopted to determine feeder bus reformation options, particularly in emerging economies.
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Akgol, K., Gunay, B., Eldemir, F. & Samasti, M. (2020). A new method to measure the rationalities of transit route layouts. Case studies on transport policy. 1518-1530. https://doi.org/10.1016/j.cstp.2020.11.002
Attard, M. (2012). Reforming the urban public transport bus system in Malta: Approach and acceptance. Transportation Research Part A, 981-992. https://doi.org/10.1016/j.tra.2012.04.004
Azucena, J., Alkhaleel, B., Liao, H. & Nachtmann, H. (2021). Hybrid simulation to support interdependence modeling of a multimodal transportation network. Simulation Modelling Practice and Theory. 102237. https://doi.org/10.1016/j.simpat.2020.102237
Bell, A.P. & Greene, T.C. (1978). Environmental psychology. United States of America: Holt, Rinwhart and Winston Inc.
Bhat, C., Kockelman, K., Chen, Q., Handy, S., Mahmassani, H. & Weston, L. (2000). Urban accessibility index: Literature review. Texas: Center for transportation research, The University of Texas at Austin.
Birungi, C. (2017). Effects of feeder network operations on trunk-feeder network performance: A case study of Mitchells Plain, Cape Town. Cape town: University of Cape Town.
Brake, J., Nelson, J.D. & Wright, S. (2004). Demand responsive transport: Towards the emergence of a new market segment. Journal of Transport Geography 12, 323-337. DOI: 10.1016/j.jtrangeo.2004.08.011
Calabr G., Inturri, G., Pira, M.L., Pluchino, A. & Ignaccolo, M. (2020). Bridging the gap between weak-demand areas and public transport using an ant-colony simulation-based optimization. Transportation Research Procedia 45, 234-241.
Chandra, S. & Quadrifoglio, L. (2013). A new street connectivity indicator to predict performance for feeder transit services. Transportation Research Part C 30, 67-80. https://doi.org/10.1016/j.trc.2013.02.004
Costa, P.C., Cunha, C.B. & Arbex, R.O. (2021). A simulation-optimization model for analyzing a demand responsive transit system for last-mile transportation: A case study in S Paulo, Brazil. Case Studies on Transport Policy 9, 1707-1714. https://doi.org/10.1016/j.cstp.2021.06.019
Delmelle, E., Li, S. & T. Murray, A. (2012). Identifying bus stop redundancy: A GIS-based spatial optimization approach. Computers, Environment and Urban Systems, 445-455. DOI: 10.1016/j.compenvurbsys.2012.01.002
Deng, L., Gao, W., Zhou, W.L. & Lai, T.Z. (2013). Optimal design of feeder bus network related to urban rail line based on transfer system. Procedia ? Social and Behavioral Sciences 96, 2383 ? 2394. DOI: 10.1016/j.sbspro.2013.08.267
Department of Public Works and Town & Country Planning 1979. Building Control Act. Thailand: Department of Public Works and Town & Country Planning. Retrieved from https://www.dpt.go.th/th/
Department of Urban Engineering. (1994). Contemporary studies in urban planning and environmental management in Japan . Tokyo: Kajima Institute Publishing Co. Ltd.
EIA report. (2018). Office of Transport and Traffic Policy and Planning, Ministry of Transport, Thailand (2016). 14th July 2020. Retrieved from http://www.otp.go.th/index.php/edureport/view?id=137
Elbert, R., Mler, J.P. & Rentschler, J. (2020). Tactical network planning and design in multimodal transportation ? A systematic literature review. Research in Transportation Business & Management. Volume 35, June 2020, 100462. https://doi.org/10.1016/j.rtbm.2020.100462
Elkhoury, N., Hitihamillage, L., Moridpour, S. & Robert, D. (2018). Degradation prediction of rail tracks: A review of the existing literature. The Open Transportation Journal, 88-104. DOI: 10.2174/1874447801812010088
El-Rashidy, R.A. & Grant-Muller, S. (2016). The evaluation of redundancy for road traffic networks. Transport, Volume 31(4): 427-439. doi:10.3846/16484142.2016.1255913
Geurs, K.T. & Wee, B.V. (2004). Accessibility evaluation of land-use and transport strategies: review and research directions. Journal of Transport Geography, 12 (2004), 127-140.
Geurs, K.T. (2018). Transport planning with accessibility indices in the Netherlands. Paris: International Transport Forum (ITF), OECD.
Giansoldati, M., Danielis, R. & Rotaris, L. (2021). Train-feeder modes in Italy. Is there a role for active mobility. Research in Transportation Economics 86, DOI: 10.1016/j.retrec.2020.100990
Gkiotsalitis, K. (2022). Coordinating feeder and collector public transit lines for efficient MaaS services. EURO Journal on Transportation and Logistics 11, 100057. https://doi.org/10.1016/j.ejtl.2021.100057
Guillot, E. (1984). Bus transit interface with light rail transit in Western Canada. Transportation Research Part A: General, Volume 18, Issue 3, Pages 231-241.
Hu, Y., Zhang, Q. & Wang, W. (2012). A model layout region optimization for feeder buses of rail transit. 8th International Conference on Traffic and Transportation Studies Changsha, China, August 1?3, 2012 (pp. 773-780). China: Procedia ? Social and Behavioral Sciences 43 ( 2012 ).
Ida, Y. & Talit, G. (2017). Reforms in the regulation of public bus service in Israel. Case Studies on Transport Policy, 80-86.
Jenelius, E. (2010). Redundancy importance: Links as rerouting alternatives during road network disruptions. Procedia Engineering 3, 129-137. https://doi.org/10.1016/j.proeng.2010.07.013
Jiang, X. & Guo, X. (2014). Integrated Operation of Trunk Routes and Branches of Rural Transit. Procedia ? Social and Behavioral Sciences 138, 501-509.
Jiao, L. (2015). Urban land density function: A new method to characterize urban expansion. Landscape and Urban Planning, Volume 139, July 2015, 26-39. DOI:10.1016/j.landurbplan.2015.02.017
Jing, W., Xu, X. & Pu, Y. (2019). Route Redundancy-Based Network Topology Measure of Metro Networks. Journal of Advanced Transportation, Article ID 4576961, 12 pages. https://doi.org/10.1155/2019/4576961
Potts, R.B. & Oliver, R.M. (1972). Flow in transport network. London: Academic Press Inc. (London) LTD.
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