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Paper Information

Journal:   REMOTE SENSING & GIS   FALL 2010 , Volume 2 , Number 3; Page(s) 21 To 42.
 
Paper: 

SPATIAL OPTIMIZATION OF URBAN DESIGN AND PLANNING PROCESS BY DEVELOPMENT OF INNOVATIVE OPERATORS IN NSGA-II

 
 
Author(s):  RAJABI M.R., MANSOURIAN A.*, ALIMOHAMMADI A., TALEI M.
 
* K.N. TOOSI UNIVERSITY OF TECHNOLOGY, GEODESY AND GEOMATIC FACULTY, MIRDAMAD CROSS, VALIASR STREET, TEHRAN, IRAN
 
Abstract: 

A majority of urban planning problems include spatial or natural components. However, in many urban planning researches, the spatial relationship factors are ignored or modeled poorly and therefore the results have not accurate enough. Moreover, a variety of factors such as land use, transportation, environment, culture and economy together with their spatial effects and relationships should be considered for a comprehensive urban planning. But, current researches have paid less attention to such comprehensive modeling. Multi-objective evolutionary algorithms are proper solutions for simultaneous optimization of urban planning factors as well as suitable urban planning. Meanwhile evolutionary algorithms by themselves, which ignore spatial relationships between real world features, cannot lead to proper solutions. In this paper, a multi-objective evolutionary algorithm with innovative operators for optimization of urban design and planning is developed. The model uses a cell-tree structure to encode the search space and then uses innovative cross-over and mutation operators to solve the spatial problems. The innovative model is used for design and planning of a new city, by simultaneous optimization of land use and transportation objectives, as a case study. NSGA-II was used as the multi-objective optimization algorithm. The results showed the suitability of the proposed approach for urban planning, especially, designing new towns.

 
Keyword(s): URBAN PLANNING, MULTI-OBJECTIVE EVOLUTIONARY DECISION-MAKING, NSGA-II, GIS, SPATIAL OPTIMIZATION
 
 
References: 
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+ Click to Cite.
APA: Copy

RAJABI, M., & MANSOURIAN, A., & ALIMOHAMMADI, A., & TALEI, M. (2010). SPATIAL OPTIMIZATION OF URBAN DESIGN AND PLANNING PROCESS BY DEVELOPMENT OF INNOVATIVE OPERATORS IN NSGA-II. REMOTE SENSING & GIS, 2(3), 21-42. https://www.sid.ir/en/journal/ViewPaper.aspx?id=274704



Vancouver: Copy

RAJABI M.R., MANSOURIAN A., ALIMOHAMMADI A., TALEI M.. SPATIAL OPTIMIZATION OF URBAN DESIGN AND PLANNING PROCESS BY DEVELOPMENT OF INNOVATIVE OPERATORS IN NSGA-II. REMOTE SENSING & GIS. 2010 [cited 2021May16];2(3):21-42. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=274704



IEEE: Copy

RAJABI, M., MANSOURIAN, A., ALIMOHAMMADI, A., TALEI, M., 2010. SPATIAL OPTIMIZATION OF URBAN DESIGN AND PLANNING PROCESS BY DEVELOPMENT OF INNOVATIVE OPERATORS IN NSGA-II. REMOTE SENSING & GIS, [online] 2(3), pp.21-42. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=274704.



 
 
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