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Solving an Integarted Land-Use and Transportation Problem with Meta-Heuristic Algorithms

Haghighi Naeini, Nima | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 46720 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Poorzahedy, Hossein
  7. Abstract:
  8. Land use and transportation are interrelated, and as a result in cities’ development plans, there is a need for a model that can consider both of them simultaneously. The model presented in this study is bi-level. The upper level designs the zonal population and employment, and transportation network link capacities. Its objective is to minimize the total cost of residence, receiving goods and services, and transportation. The lower level consists of two inter-related problems. One of these problems determines the allocation of population and employment and the other obtains link flows by a joint bi-modal mode choice assignment model. This study aims to develop a meta-heuristic algorithm to solve the upper level design problem. Two test problems are used to describe the behavior of the model. Results reveal that under the specific conditions of these problems, transit development and making regions independent in meeting their own population service needs are more effective in declining the total living cost. Moreover, the transit oriented development policy has been investigated in these problems, which shows to be more effective than the other policies, in reducing this cost
  9. Keywords:
  10. Transit Oriented Development (TOD) ; Meta Heuristic Algorithm ; Land-Use-Transportation Interaction ; Land Use-Transportation Design

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