A Novel Model for Bus Stop Location Appropriate for Public Transit Network Design: The Case of Central Business Districts (CBD) of Tehran

International Journal of Smart Electrical Engineering

مقاله 2، دوره 02، شماره 3، آبان 2013، صفحه 133-141   

نویسندگان

Majid Jahani¹؛ S. Mehdi Hashemi¹؛ Mehdi Ghatee¹؛ Mohsen Jahanshahi²

¹Faculty of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran.

²Young Researchers and Elite club, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

چکیده

In this paper, a novel multi-objective bus stop location model is proposed, which considers not only the coverage of demand and minimization of access time but also the necessities of suitable stops for transit network design phase. Three objective functions are considered including minimizing (I) sum of the total access distance (time), (II) the weighted combination of stops, and (III) the number of stops. A sum-weighted method is used to solve the proposed multi-objective model considering the different scenarios of weights. A detailed analysis is carried out Tehran CBD to generate sensible stops results.

کلیدواژه‌ها

Bus stop Location؛ Multi-objective؛ Network design؛ Public transportation

مراجع

[1]

A. Schobel, “Locating Stops Along Bus or Railway Lines—A Bicriteria Problem”, Annals of Operations Research 136, pp.211-227, 2005.

[2]

A. Murray, “Strategic analysis of public transport coverage”, Socio-Economic Planning Sciences, Vol.35, pp.175-188, 2001.

[3]

A. Ceder, “Public Transit Planning and Operation Theory, modelling and practice”, Elsevier, Oxford, UK, 2007.

[4]

M. Demetsky and B. Lin, “Bus stop location and design”, Transportation Engineering Journal of ASCE, Vol108, pp.313-327, 1982.

[5]

D. Retnani Poetranto Groß, Horst, Hamacher, S. Horn and A. Schöbel, “Stop Location Design in Public Transportation Networks: Covering and Accessibility Objectives”, pp.335-346, 2009.

[6]

H. Levinson, “Urban Mass Transit Systems”, In: Edwards JD (ed) Transportation Planning handbook, Prentice Hall, New Jersey, pp.123-174, 1992.

[7]

M. Fletterman, “Multi-Realization of Nonlinear Systems”, University of Pretoria, Thesis, 2008.

[8]

R. G. Farewell and E.Marx, “Planning, implementation, and evaluation of OmniRide demand-driven transit operations: Feeder and flex-route services”, Transportation Research Record 1557, pp.1-9, 1996.

[9]

A. Murray, R. Davis, R.J. Stimdon, and L. Ferreira, “Public Transportation Access”, Transportation Research, Vol.3, No.5, pp.319–328, 1998.

[10]

R. Abounacer, M. Rekik and J. Renaud, “An exact solution approach for multi-objective location–transportation problem for disaster response,’’ Original Research Article Computers & Operations Research, Vol.41, pp.83-93, 2014.

[11]

J. Gleason, “A set covering approach to bus stop allocation”, J. Omega, Vol.3, pp.605–608, 1975.

[12]

A. Murray, “Coverage models for improving public transit system accessibility and expanding access”, Technical Report, Department of Geography, Ohio State University, 2001

[13]

S. Mecke, A. Schöbel and D.Wagner, “Stop Location-Complexity and Approximation Issues”, In: Proceedings of ATMOS, 2005.

[14]

A. Murray and X. Wu, “Accessibility Tradeoffs in Public Transit Planning”, J.Geogr. Syst, Vol.5, pp.93–107, 2003.

[15]

A. Saka, “A Model for Determining Optimum Bus-Stop Spacing in Urban Areas”, J. Transportation Engineering, Vol.127, pp.195–199, 2001.

[16]

M.M. Alterkawi, “A computer simulation analysis for optimizing bus stops spacing: The case of Riyadh, Saudi Arabia”, Habitat International, Vol. 30, No. 3, pp.500–508, 2006.

[17]

M. Caramia and P.Dell’olmo, “Multi-objective Management in Freight Logistics Increasing Capacity, Service Level and Safety with Optimization Algorithms”, Springer London Ltd.,2008.

[18]

J.F. Guan , H.Yang and S.C. Wirasinghe, “Simultaneous Optimization of Transit Line Configuration and Passenger Line assignment”, J. Transportation Research Part B, Vol.40, pp.885-902, 2006.

[19]

Z. Xinmin.”A Fuzzy Genetic Algorithms (GAs) Model for Time-Cost Optimization in Construction”, Master Thesis at The University of Hong Kong (Pokfulam, Hong Kong), 2003.

[20]

G. Laporte, J.A. Mesa and F.A. Ortega. “Locating Stations on Rapid Transit lines”, Computers and Operations Research, Vol.29, pp.741–759, 2002.

[21]

C. Wu and A. Murray, “Optimizing Public Transit Quality and System Access: The Multiple-Route, Maximal Covering/Shortest Path Problem’’, Environment Planning B: Planning Design, Vol.32, No.2, pp.163–178, 2005.

[22]

“Federal Transit Administration, Guidelines for The Location and Design of Bus Stops”, TCRP, 1996.

[23]

D. Ammons, “Municipal Benchmarks: Assessing Local Performance and Establishing’’, 2001.

[24]

J. Andersson, “A Survey of Multi-Objective Optimization in Engineering Design’’, Tech. Rep. Department of Mechanical Engineering, Linköping University, 2000.

[25]

W. Fan and R. Machemehl, “Optimal Transit Route Network Design Problem with Variable Transit Demand: A Genetic Algorithm Approach, ’’ J. Transp. Eng., Vol.132, No.1, pp.40-51, 2006.