Commenced in January 2007
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Economical and Technical Analysis of Urban Transit System Selection Using TOPSIS Method According to Constructional and Operational Aspects

Authors: Ali Abdi Kordani, Meysam Rooyintan, Sid Mohammad Boroomandrad

Abstract:

Nowadays, one the most important problems in megacities is public transportation and satisfying citizens from this system in order to decrease the traffic congestions and air pollution. Accordingly, to improve the transit passengers and increase the travel safety, new transportation systems such as Bus Rapid Transit (BRT), tram, and monorail have expanded that each one has different merits and demerits. That is why comparing different systems for a systematic selection of public transportation systems in a big city like Tehran, which has numerous problems in terms of traffic and pollution, is essential. In this paper, it is tried to investigate the advantages and feasibility of using monorail, tram and BRT systems, which are widely used in most of megacities in all over the world. In Tehran, by using SPSS statistical analysis software and TOPSIS method, these three modes are compared to each other and their results will be assessed. Experts, who are experienced in the transportation field, answer the prepared matrix questionnaire to select each public transportation mode (tram, monorail, and BRT). The results according to experts’ judgments represent that monorail has the first priority, Tram has the second one, and BRT has the third one according to the considered indices like execution costs, wasting time, depreciation, pollution, operation costs, travel time, passenger satisfaction, benefit to cost ratio and traffic congestion.

Keywords: Bus Rapid Transit, Costs, Monorail, Pollution, Tram.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.3346730

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References:


[1] Abedin Dorkush, S. (2004), Introduction to the urban economy, Tehran, Center for Academic Publication (In Persian).
[2] Field, B., Brayan, M. (1997). Predication Techniques in Urban and Regional Planning, Translated by Fatemeh Tagizadeh, Budget and Planning Organization publication, Tehran (In Persian).
[3] Grava, S. (2003), Urban Transportation System: Choices for Communities, McGraw-Hill.
[4] Grava, S. (2004). Urban Transportation System, Downloaded from Digital Engineering Library at McGraw-Hill (www.digitalengineeringlibrary.com).
[5] Rodrigue, P. J., Slcack, B. (2006), The Geography of Transportation System, Routledge, New York, U.S.
[6] Logmani, M. (2007), Choice of Public Transportation Optimum Option with Attention to City Size. Tehran Case Study, M. A. Thesis in Azad University (In Persian).
[7] Henrik Hal, C., (2006), A Framework for Evaluation and Design of an Integrated Public Transportation, Department of Science and Technology, Linkoping University.
[8] Garrett, T. A., (2004), Light-Rail Transit in America Light-Rail Transit in America Policy Issues and Prospects for Economic Development, Federal Reserve Bank of St Louis.
[9] Transportation Research Board, (2017), Transit Capacity and Quality of Service Manual, report 165, 3rd edition, Transportation Research Board (TRB) U.S.
[10] European commission (2009), Advanced Hybrid Monorail system, The World’s Most Innovative Economically Sustainable Public Transport, Technical Report.
[11] Green, A., Graefe, M., (2007), Methods to Elicit Forecasts from Groups: Delphi and Prediction Markets Compared, The International Journal of Applied Forecasting, N.11.
[12] Turoff, M., (2007), The Design of a policy Delphi, Technological Forecasting and Social change, V. 2.