Chapter
Apr 26, 2012
Optimizing the Distribution of Shopping Center with Genetic Algorithm
Publication: Traffic And Transportation Studies (2002)
Abstract
This study optimizes the distribution of shopping centers (SC) in terms of realizing the shortest car-based shopping trips in an urban area. First, modal split between road and railway networks is calculated, and then the interaction between land-use and transportation in the context of choice of shopping destinations is modeled to build the optimal function. Second, Genetic Algorithm (GA) is applied to solve the optimal problem and several problems in application of GA are discussed. Finally a case study, which examines the effectiveness our method, is carried out.
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Information & Authors
Information
Published In
Traffic And Transportation Studies (2002)
Pages: 702 - 709
Copyright
© 2002 American Society of Civil Engineers.
History
Published online: Apr 26, 2012
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ASCE Technical Topics:
- Algorithms
- Buildings
- Case studies
- Engineering fundamentals
- Facilities (by type)
- Industrial facilities
- Infrastructure
- Mathematics
- Methodology (by type)
- Rail transportation
- Research methods (by type)
- Shopping centers
- Structural engineering
- Structures (by type)
- Traffic engineering
- Transportation engineering
- Travel patterns
- Trip distribution
- Urban and regional development
- Urban areas
Authors
Affiliations
Zhong Zhen Yang
Associate Prof., Dalian University of Technology, China
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.