Location Planning Approach for Intermodal Terminals in Urban and Suburban Rail Transport
Keywords:
intermodal terminal, GIS database, optimization algorithms, multi-criteria analysis, location planning
Abstract
The aim of this study is to find a suitable methodology for planning the locations of intermodal terminals in an urban transit context. The location planning approach, which has been developed and makes this possible, consists of three phases. The first phase is the making of the geographic information system (GIS) database which enables determining the potential locations of intermodal terminals. For every potential location of the terminal, the number of citizens gravitating to a certain terminal is calculated, which at the same time represents the output from the first phase of the model. The second phase uses an optimization algorithm in order to determine the locations of the intermodal terminals. The optimization algorithm provides several solutions for a different number of terminals, and such solutions need to be evaluated. The main contribution of this research is in upgrading the location planning approach by introducing an additional step in assessing the solutions obtained by the optimization algorithm.
References
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[2] Vuchic VR. Urban Transit – Operations, planning and economics. John Wiley & Sons; 2005.
[3] Laporte G, Messa JA, Ortega FA, Sevillano I. Maximizing trip coverage in the location of a single rapid transit alignment. Annals of Operations Research. 2005;136: 49-63.
[4] Laporte G, Mesa JA, Ortega FA, Perea F. Planning rapid transit networks. Socio-Economic Planning Sciences. 2011;45: 95-104.
[5] Bruno G, Gendreau M, Laporte G. A heuristic for the location of rapid transit line. Computers & Operations Research. 2002;29: 1-12.
[6] Dufourd H, Gendreau M, Laporte G. Locating a transit line using tabu search. Location Science. 1996;4(1-2): 1-19.
[7] Mohajeri N, Amin GR. Railway station site selection using analytical hierarchy process and data envelopment analysis. Computers & Industrial Engineering. 2010;59: 107-114.
[8] Samanta S, Jha MK, Oluokun CO. Travel time calculation with GIS in rail station location optimization. 25th ESRI International User Conference, 25-29 July 2005, San Diego, California; 2005. paper 2181.
[9] Jha MK, Oluokun C. Optimizing station locations along transit rail lines with geographic information systems and artificial intelligence. In: Allan J, Brebbia CA, Hill RJ, Sciutto G, Sone S (Editors). Computers in Railways IX; 2004. p. 11-20.
[10] Samanta S, Jha MK. Modeling a rail transit alignment considering different objectives. Transportation Research Part A; 2011;45: 31-45.
[11] Laporte G, Mesa JA, Ortega FA. Locating stations on rapid transit lines. Computers & Operations Research. 2002;29: 741-759.
[12] Yoshikaya T, Hanafusa H. A Method for Locating stations of Public Transportation Systems. IFAC Symposium on Environmental Systems Planning, Design, and Control; 1977. p. 333-340.
[13] Hamacher HW, Liebers A, Schobel A, Wagner D, Wagner F. Locating new stops in a railway network. Electronic Notes in Theoretical Computer Science. 2001;50(1): 13-23.
[14] Škerlič S, Muha R. Warehouse site selection in an international environment. Transport Problems. 2013;8(2): 95-106.
[15] Landex A, Hansen S. Examining the Potential Travellers in Catchment Areas for Public Transport. 26th Annual Esri International User Conference, 7-11 August 2006, San Diego, California; 2006. paper 1391.
[16] Horner MW, Grubesic TH. A GIS-based planning approach to locating urban rail terminals. Transportation. 2001;28: 55-77.
[17] Horner MW, Groves S. Network flow-based strategies for identifying rail park-and-ride facility locations. Socio-Economic Planning Sciences. 2007;41: 255-268.
[18] Sun G, Webster C, Chiaradia A. Objective assessment of station approach routes: Development and reliability of an audit for walking environments around metro stations in China. Journal of Transport and Health. 2017;4: 191-207.
[19] Cadarso L, Codina E, Escudero LF, Marin A. Rapid transit network design: considering recovery robustness and risk aversion measures. Transportation Research Procedia. 2017;22: 255-264.
[20] Dewild T, Sels P, Cattrysse D, Vansteenwegen P. Robust railway station planning: an interaction between routing, timetabling and platforming. Journal of Rail Transport Planning and Management. 2013;3(3): 68-77.
[21] Commuter Rail Design Criteria Regional Transportation District Design Guidelines and Criteria. 2009. Available from: http://www3.rtd-denver.com/content/Eagle/VOLUME_3_-_REFERENCE_DATA/Commuter%20Rail%20Design%20Criteria,%20revised%20April%202009.pdf [Accessed June 2012].
[22] Ćavar I, Kavran Z, Petrović M. Hybrid Approach for Urban Roads Classification Based on GPS Tracks and Road Subsegments Data. Promet – Traffic & Transportation. 2011;23(4): 289-296.
[23] Škerlič S, Muha R. Identifying warehouse location using hierarchical clustering. Transport Problems. 2016;11(3): 121-129.
[24] Blainey SP, Preston JM. A GIS-based appraisal framework for new local railway stations and services. Transport Policy. 2013;25: 41-51.
Published
2019-02-28
How to Cite
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Petrović M, Mlinarić TJ, Šemanjski I. Location Planning Approach for Intermodal Terminals in Urban and Suburban Rail Transport. Promet [Internet]. 2019Feb.28 [cited 2024Dec.21];31(1):101-1. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/3034
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Copyright (c) 2019 Marjana Petrović, Tomislav Josip Mlinarić, Ivana Šemanjski
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