Journal
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
Volume 46, Issue -, Pages 57-69Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.compenvurbsys.2014.04.004
Keywords
Land use allocation; Optimization; Mixed use development; Vertical space use; Genetic algorithm; Bangladesh
Categories
Funding
- Grants-in-Aid for Scientific Research [21240075, 26590036] Funding Source: KAKEN
Ask authors/readers for more resources
In this paper, we use genetic algorithm based optimization models for urban land use allocation. We consider a multi-objective function for the planners, which simultaneously maximizes land prices and reduces incompatibility among adjacent land uses for an area. Land price of each and every plot of real estate developer is also optimized in response to the rules set by city development authorities. The differences in opinions of these two stakeholders are highlighted for a case study area of Bangladesh. The ultimate goal is to look for a computationally easy and efficient tool for generating and evaluating feasible land use plans to facilitate the allocation decision. (C) 2014 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available