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Paper Information

Journal:   SPATIAL PLANNING (MODARES HUMAN SCIENCES)   SPRING 2014 , Volume 18 , Number 1; Page(s) 1 To 23.
 
Paper: 

A NOVEL HYBRID ALGORITHM TO SOLVE MULTIPLE OBJECTIVE LAND-USE SUITABILITY ANALYSIS

 
 
Author(s):  AMINZADEH GOHARRIZI BAHRAM*, AMINZADEH GOHARRIZI BABAK, RASTEGAR S.
 
* DEPARTMENT OF URBAN PLANNING, IMAM KHOMAINI INTERNATIONAL UNIVERSITY, QAZVIN, IRAN
 
Abstract: 

Land use planning is one of the most important parts of urban and regional master planning process. In cases where the study area is large and the number of land-uses and/or constraints are high, finding an optimal or near-optimal solution in a reasonable time and with acceptable computational costs without applying Artificial Intelligence (AI) based heuristic techniques is nearly impossible. Our first aim in this paper is to introduce a hybrid approach to mathematically model the land use planning problem. Secondly, we introduce a new hybrid algorithm to solve the aforementioned mathematical model. Then we apply this approach to a real land-use planning case study in which 600 hectares of undeveloped lands belonging to Persian Gulf Science and Technology Park must be allocated to 14 different land-uses. The objectives of the mathematical model include maximization of land suitability, minimization of traffic flows, and maximization of land-use compactness. Finally, we provide the best alternative chosen amongst more than 101,000 alternatives generated during the process of running the proposed algorithm. Due to its faster performance and providing a Decision Support System (DSS), this new approach can easily replace classical land-use and spatial planning approaches.

 
Keyword(s): MULTIPLE-ATTRIBUTE DECISION MAKING, GENETIC ALGORITHM, LAND-USE SUITABILITY ANALYSIS, VARIABLE NEIGHBORHOOD SEARCH
 
References: 
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