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:: Volume 7, Issue 1 (5-2019) ::
jgit 2019, 7(1): 37-54 Back to browse issues page
Presentation of a TOD Index in Urban Areas through Spatial Analyses and HFIS (Case Study: Tehran)
Hamid Motieyan * , Mohammad Saadi Mesgari , Mohammad Aslani
K. N. Toosi University of Technology
Abstract:   (3000 Views)
The contemporary world possesses some issues such as urbanism and expansion of cities and these issues which require a specific type of planning. Transit Oriented Development (TOD) planning has emerged as one of the applicable planning methods, which tries to achieve integrated land use and transportation planning. In this study, TOD is conducted at a regional scale using an index measuring TOD level of neighborhoods of the study area in one of the central regions in Tehran city, Iran. The developed index is comprised of some criteria and indicators. Each indicator is computed using spatial analyses in the vector format and then aggregated by Hierarchical Fuzzy Inference System (HFIS). Due to the fact that the research data are related to the year 2005, the activities which have taken place from that year till now are evaluated based on the model output.  The evaluation result demonstrates the strengths of TOD planning in the identification of neighborhoods which are in need of development
Keywords: Land use, Transportation, Transit Oriented Development, Spatial analysis, Hierarchical Fuzzy Inference System
Full-Text [PDF 1441 kb]   (913 Downloads)    
Type of Study: Research | Subject: GIS
Received: 2017/01/29 | Accepted: 2017/11/1 | Published: 2019/06/21
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Motieyan H, Mesgari M S, Aslani M. Presentation of a TOD Index in Urban Areas through Spatial Analyses and HFIS (Case Study: Tehran). jgit 2019; 7 (1) :37-54
URL: http://jgit.kntu.ac.ir/article-1-677-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 7, Issue 1 (5-2019) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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