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Urban Growth, Transport Planning, Air Quality and Health: A Multi-Objective Spatial Analysis Framework for a Linear Monocentric City

Author

Listed:
  • Judith Y. T. Wang

    (University of Leeds)

  • Richard D. Connors

    (University of Leeds)

Abstract

In this paper, we propose a multi-objective spatial analysis framework to evaluate the economic, environmental and health impacts of transport investment strategies under different urban growth scenarios. We consider a linear monocentric city (LMC) wherein residents are distributed continuously along an urban corridor and commute daily to a common destination, the central business district (CBD), represented by one end of the linear city. Two modes are available: car and rail. Users can travel from their residence to the CBD by car on a congestible highway with stochastic travel time, or by rail from the most convenient nearby station, which they reach by walking or cycling. Travellers throughout the city have a distribution of reliability preferences. Individual mode choice is determined using the notion of travel time budget surplus to take into consideration the travel time, travel time reliability and monetary cost associated with each mode. We assume users would like to minimise travel time, monetary cost, and maximise travel time reliability. The resulting formulation is a three-objective user equilibrium model (TBSmaxTUE). For the continuous monocentric city model, TBSmaxTUE can be formulated as a fixed point problem. To admit a numerical solution the continuum is discretised, allowing it to be expressed as a standard network equilibrium assignment problem. The performance of this LMC model can then be analysed against multiple objectives. We consider the economic objective to minimise total system travel time; the environmental objective to minimise total tailpipe emissions from car trips; and health objectives to minimise pollutant uptake while also maximising the level of physical activity during the journey to work.

Suggested Citation

  • Judith Y. T. Wang & Richard D. Connors, 2018. "Urban Growth, Transport Planning, Air Quality and Health: A Multi-Objective Spatial Analysis Framework for a Linear Monocentric City," Networks and Spatial Economics, Springer, vol. 18(4), pages 839-874, December.
  • Handle: RePEc:kap:netspa:v:18:y:2018:i:4:d:10.1007_s11067-018-9398-x
    DOI: 10.1007/s11067-018-9398-x
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    References listed on IDEAS

    as
    1. Anas, Alex, 1990. "Taste heterogeneity and urban spatial structure: The logit model and monocentric theory reconciled," Journal of Urban Economics, Elsevier, vol. 28(3), pages 318-335, November.
    2. Watling, David, 2006. "User equilibrium traffic network assignment with stochastic travel times and late arrival penalty," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1539-1556, December.
    3. Lo, Hong K. & Luo, X.W. & Siu, Barbara W.Y., 2006. "Degradable transport network: Travel time budget of travelers with heterogeneous risk aversion," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 792-806, November.
    4. Lam, Terence C. & Small, Kenneth A., 0. "The value of time and reliability: measurement from a value pricing experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 231-251, April.
    5. Xia Yang & Xuegang Jeff Ban & Rui Ma, 2017. "Mixed Equilibria with Common Constraints on Transportation Networks," Networks and Spatial Economics, Springer, vol. 17(2), pages 547-579, June.
    6. Liu, Tian-Liang & Huang, Hai-Jun & Yang, Hai & Zhang, Xiaoning, 2009. "Continuum modeling of park-and-ride services in a linear monocentric city with deterministic mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 692-707, July.
    7. 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.
    8. Andrés Fielbaum & Sergio Jara-Diaz & Antonio Gschwender, 2017. "A Parametric Description of Cities for the Normative Analysis of Transport Systems," Networks and Spatial Economics, Springer, vol. 17(2), pages 343-365, June.
    9. Thomas Götschi & Jan Garrard & Billie Giles-Corti, 2016. "Cycling as a Part of Daily Life: A Review of Health Perspectives," Transport Reviews, Taylor & Francis Journals, vol. 36(1), pages 45-71, January.
    10. William Alonso, 1960. "A Theory Of The Urban Land Market," Papers in Regional Science, Wiley Blackwell, vol. 6(1), pages 149-157, January.
    11. Philippe Jehiel, 1993. "Equilibrium on a Traffic Corridor with Several Congested Modes," Transportation Science, INFORMS, vol. 27(1), pages 16-24, February.
    12. Sider, Timothy & Alam, Ahsan & Zukari, Mohamad & Dugum, Hussam & Goldstein, Nathan & Eluru, Naveen & Hatzopoulou, Marianne, 2013. "Land-use and socio-economics as determinants of traffic emissions and individual exposure to air pollution," Journal of Transport Geography, Elsevier, vol. 33(C), pages 230-239.
    13. De Lara, Michel & de Palma, André & Kilani, Moez & Piperno, Serge, 2013. "Congestion pricing and long term urban form: Application to Paris region," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 282-295.
    14. Li, Zheng & Hensher, David A. & Rose, John M., 2010. "Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 384-403, May.
    15. W. Szeto & Y. Jiang & D. Wang & A. Sumalee, 2015. "A Sustainable Road Network Design Problem with Land Use Transportation Interaction over Time," Networks and Spatial Economics, Springer, vol. 15(3), pages 791-822, September.
    16. Wang, Judith Y. T. & Yang, Hai & Lindsey, Robin, 2004. "Locating and pricing park-and-ride facilities in a linear monocentric city with deterministic mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(8), pages 709-731, September.
    17. Ben-Ayed, Omar & Boyce, David E. & Blair, Charles E., 1988. "A general bilevel linear programming formulation of the network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 22(4), pages 311-318, August.
    18. Ehrgott, Matthias & Wang, Judith Y.T. & Watling, David P., 2015. "On multi-objective stochastic user equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 81(P3), pages 704-717.
    19. Zhi-Chun Li & Ya-Dong Wang & William Lam & Agachai Sumalee & Keechoo Choi, 2014. "Design of Sustainable Cordon Toll Pricing Schemes in a Monocentric City," Networks and Spatial Economics, Springer, vol. 14(2), pages 133-158, June.
    20. Wang, Judith Y.T. & Ehrgott, Matthias, 2013. "Modelling route choice behaviour in a tolled road network with a time surplus maximisation bi-objective user equilibrium model," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 342-360.
    21. Small, Kenneth A., 2001. "The Value of Pricing," University of California Transportation Center, Working Papers qt0rm449sx, University of California Transportation Center.
    22. Jie Bao & Chengcheng Xu & Pan Liu & Wei Wang, 2017. "Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests," Networks and Spatial Economics, Springer, vol. 17(4), pages 1231-1253, December.
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    Cited by:

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    2. Julius Berger & Waldemar Marz, 2024. "Fuel Economy Standards and Public Transport," CESifo Working Paper Series 11061, CESifo.
    3. Xin Lin & Chris M. J. Tampère & Stef Proost, 2020. "Optimizing Traffic System Performance with Environmental Constraints: Tolls and/or Additional Delays," Networks and Spatial Economics, Springer, vol. 20(1), pages 137-177, March.
    4. Schindler, Mirjam & Wang, Judith Y.T. & Connors, Richard D., 2021. "A two-stage residential location and transport mode choice model with exposure to traffic-induced air pollution," Journal of Transport Geography, Elsevier, vol. 93(C).
    5. Carmen Zornoza-Gallego, 2022. "Means of Transport and Population Distribution in Metropolitan Areas: An Evolutionary Analysis of the Valencia Metropolitan Area," Land, MDPI, vol. 11(5), pages 1-18, April.

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