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A bi-level programming model for the land use – network design problem

Author

Listed:
  • Jen-Jia Lin
  • Cheng-Min Feng

Abstract

A sketch map in urban planning roughly lays out a physical plan. However, the process of generating sketches has long been viewed as a “black box”. The sketch layout model (SLM) was developed in 1999 to improve the efficiency and quality of layout tasks. This model is a nonlinear and multi-objective programming, for analyzing the integrated layouts of land uses, transport network and public facilities. Although the SLM had been developed for three phases and can be applied to real cases, the method still does not distinguish the types of roads in the transport network. This study develops the SLM-IV, a bi-level programming, by integrating the SLM-III and the combined trip distribution/assignment model, to generate a hierarchical network. This improved model can analyze travel demands, and then decide the link type of the network in SLM. A numerical example with relevant sensitivity analysis is presented to verify the operational feasibility and identify the model's characteristics. Copyright Springer-Verlag Berlin Heidelberg 2003

Suggested Citation

  • Jen-Jia Lin & Cheng-Min Feng, 2003. "A bi-level programming model for the land use – network design problem," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(1), pages 93-105, February.
    • Handle: RePEc:spr:anresc:v:37:y:2003:i:1:p:93-105
    DOI: 10.1007/s001680200112
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    Citations

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    Cited by:

    1. Mamadou Koné & Mouhamadou A.M.T. Baldé & Babacar M. Ndiaye, 2019. "A Dichotomic Algorithm for Transportation Network and Land Use Problem," Journal of Mathematics Research, Canadian Center of Science and Education, vol. 11(1), pages 42-56, February.
    2. Yao, Jia & Chen, Anthony & Ryu, Seungkyu & Shi, Feng, 2014. "A general unconstrained optimization formulation for the combined distribution and assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 137-160.
    3. Mouhamadou A. M. T. Baldé & Serigne Gueye & Babacar M. Ndiaye, 2021. "A greedy evolutionary hybridization algorithm for the optimal network and quadratic assignment problem," Operational Research, Springer, vol. 21(3), pages 1663-1690, September.
    4. Xu, Meng & Chen, Anthony & Gao, Ziyou, 2008. "An improved origin-based algorithm for solving the combined distribution and assignment problem," European Journal of Operational Research, Elsevier, vol. 188(2), pages 354-369, July.
    5. Jen-Jia Lin & Chia-Jung Yu, 2013. "A bikeway network design model for urban areas," Transportation, Springer, vol. 40(1), pages 45-68, January.
    6. Seungkyu Ryu & Anthony Chen & Xiangdong Xu & Keechoo Choi, 2014. "A Dual Approach for Solving the Combined Distribution and Assignment Problem with Link Capacity Constraints," Networks and Spatial Economics, Springer, vol. 14(2), pages 245-270, June.

    More about this item

    Keywords

    JEL classification: C61; R42; R53;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock

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