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A model of urban transport management

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  • Ferrari, Paolo

Abstract

This paper shows a scheme of urban transport management aimed at solving the externalities due to road traffic. In this scheme both private and public transport modes are managed by a planning authority having control of some decision variables: road pricing, transit ticket prices, and the service characteristics of transit. The multimodal transport system is subject to some constraints: physical and environmental capacity constraints, and budget constraints. In some cases an upper bound is imposed on the ticket price, in order to help people who are captive of transit. The planning authority fixes the level of all user charges and the transit service characteristics, in such a way that the average transport generalized cost is minimized, and at the same time the transport system is in equilibrium and all constraints are satisfied. A mathematical model of this management scheme is presented, and it is applied to the bimodal network of an Italian town, in order to show the effects that the management policy, and in particular the constraints imposed on the transport system, have on urban transport cost. Among other things the results obtained show, in accordance with the opinion of other authors, that the market of urban public transport is a niche market, whose properties, along with the characteristics of transit systems, are essentially determined by the physical and environmental capacity constraints of the road transport system.

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  • Ferrari, Paolo, 1999. "A model of urban transport management," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 43-61, February.
    • Handle: RePEc:eee:transb:v:33:y:1999:i:1:p:43-61
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    Cited by:

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    2. Elnaz Miandoabchi & Reza Farahani & W. Szeto, 2012. "Bi-objective bimodal urban road network design using hybrid metaheuristics," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(4), pages 583-621, December.
    3. Wichiensin, Muanmas & Bell, Michael G.H. & Yang, Hai, 2007. "Impact of congestion charging on the transit market: An inter-modal equilibrium model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(7), pages 703-713, August.
    4. Amir Khakbaz & Ali Nookabadi & S. Shetab-bushehri, 2013. "A Model for Locating Park-and-Ride Facilities on Urban Networks Based on Maximizing Flow Capture: A Case Study of Isfahan, Iran," Networks and Spatial Economics, Springer, vol. 13(1), pages 43-66, March.
    5. Jian Wang & Libing Chi & Xiaowei Hu & Hongfei Zhou, 2014. "Urban Traffic Congestion Pricing Model with the Consideration of Carbon Emissions Cost," Sustainability, MDPI, vol. 6(2), pages 1-16, February.
    6. Ferrari, Paolo, 2002. "Road network toll pricing and social welfare," Transportation Research Part B: Methodological, Elsevier, vol. 36(5), pages 471-483, June.
    7. Gonzales, Eric Justin, 2011. "Allocation of Space and the Costs of Multimodal Transport in Cities," University of California Transportation Center, Working Papers qt7s28n4nj, University of California Transportation Center.
    8. Elnaz Miandoabchi & Reza Farahani & Wout Dullaert & W. Szeto, 2012. "Hybrid Evolutionary Metaheuristics for Concurrent Multi-Objective Design of Urban Road and Public Transit Networks," Networks and Spatial Economics, Springer, vol. 12(3), pages 441-480, September.
    9. Gonzales, Eric Justin, 2011. "Allocation of Space and the Costs of Multimodal Transport in Cities," University of California Transportation Center, Working Papers qt07x7h9pg, University of California Transportation Center.
    10. Ferrari, Paolo, 2005. "Road pricing and users' surplus," Transport Policy, Elsevier, vol. 12(6), pages 477-487, November.
    11. Bellei, Giuseppe & Gentile, Guido & Papola, Natale, 2002. "Network pricing optimization in multi-user and multimodal context with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 36(9), pages 779-798, November.
    12. D'Acierno, Luca & Gallo, Mariano & Montella, Bruno, 2006. "Optimisation models for the urban parking pricing problem," Transport Policy, Elsevier, vol. 13(1), pages 34-48, January.
    13. Cantarella, Giulio Erberto & Cartenì, Armando & de Luca, Stefano, 2015. "Stochastic equilibrium assignment with variable demand: Theoretical and implementation issues," European Journal of Operational Research, Elsevier, vol. 241(2), pages 330-347.
    14. Tao Zhang & Yang Yang & Gang Cheng & Minjie Jin, 2020. "A Practical Traffic Assignment Model for Multimodal Transport System Considering Low-Mobility Groups," Mathematics, MDPI, vol. 8(3), pages 1-19, March.
    15. Daganzo, Carlos F., 2010. "Structure of competitive transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 434-446, May.
    16. Arampatzis, G. & Kiranoudis, C. T. & Scaloubacas, P. & Assimacopoulos, D., 2004. "A GIS-based decision support system for planning urban transportation policies," European Journal of Operational Research, Elsevier, vol. 152(2), pages 465-475, January.
    17. Currie, Graham & Rose, John, 2008. "Growing patronage - Challenges and what has been found to work," Research in Transportation Economics, Elsevier, vol. 22(1), pages 5-11, January.

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