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Selection of Rail Station Locations on an Intercity Route Regarding Maximum Users’ Economic Profits
Hong Kong GST Institute, Hong Kong GST Institute.
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Urban and Regional Studies.ORCID iD: 0000-0002-7211-8230
2023 (English)In: PROMET: Traffic&Transportation, ISSN 0353-5320, E-ISSN 1848-4069, Vol. 35, no 4, p. 595-606Article in journal (Refereed) Published
Abstract [en]

Cities located on a path of intercity railroads tend to be in a corridor system to increase com-merce and economic profits. Theoretic and practical work concerning train station locations can be used to provide factors that affect the choice of train station sites. In this paper, we find optimal places to locate train stations according to location theories and particular natural and socioeconomic characteristics. The methods we used are focused on maximising users’ economic profits associated with passenger and cargo transportation by finding optimal stations on the route. Furthermore, we created a general algebraic modelling system (GAMS) with linear planning, which is solvable using a C programming language (CPLEX) interac-tive optimiser. Case studies on 14 stations along the 820 km long Milak-Chabahar corridor helped us to simulate our model and test its feasibility at three alternative times to prove the outcomes. The stations would increase an average profit of 38.6%, 42.94% and 50.85%, but the growth varied in the stations. This research contributes to freight and passenger transportation engineers in railroad design. They benefit from the model to determine the location of a train station to obtain maximum user profits in that station and its surrounding areas.

Place, publisher, year, edition, pages
Faculty of Transport and Traffic Sciences , 2023. Vol. 35, no 4, p. 595-606
Keywords [en]
mathematical modelling, maximum profits, railroad planning, reference rate of cargo, reference rate of passengers, train station location
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-337452DOI: 10.7307/ptt.v35i4.241ISI: 001085472800007Scopus ID: 2-s2.0-85171176855OAI: oai:DiVA.org:kth-337452DiVA, id: diva2:1802936
Note

QC 20231006

Available from: 2023-10-06 Created: 2023-10-06 Last updated: 2023-11-15Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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