Spatial Suitability Scoring For Rail Transit Network Extension by Developing ‘Rail Transit Fuzzy Logic Model’ (RFLM) in Matlab Environment
Author:
Affiliation:
1. Department of Civil Engineering, Transport Engineering, Istanbul Technical University, Ayazağa Campus
Publisher
International Community of Spatial Planning and Sustainable Development
Link
https://www.jstage.jst.go.jp/article/irspsd/12/1/12_12/_pdf
Reference32 articles.
1. Akgun, A., Sezer, E. A., et al. (2012). “An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm”. Computers & Geosciences, 38(1), 23-34. doi: https://doi.org/10.1016/j.cageo.2011.04.012 .
2. Akil, A., Yudono, A., et al. (2023). “Suitable Potential Locations for Street Vendors in Makassar City, Indonesia”. International Review for Spatial Planning and Sustainable Development, 11(3), 152-171. doi: http://dx.doi.org/10.14246/irspsd.11.3_152.
3. Avineri, E., Prashker, J., et al. (2000). “Transportation Projects Selection Process Using Fuzzy Sets Theory”. Fuzzy Sets and Systems 116, 35-47. Retrieved from https://www.academia.edu/13995225/Transportation_projects_selection_process_using_fuzzy_sets_theory.
4. Bailey, D. T. (2005). “Development of an Optimal Spatial Decision-making System Using Approximate Reasoning”. PhD dissertation, Queensland University of Technology.
5. Bao, X. (2018). “Urban Rail Transit Present Situation and Future Development Trends in China: Overall Analysis Based on National Policies and Strategic Plans in 2016–2020”. Urban Rail Transit, 4(1), 1-12. doi: https://doi.org/10.1007/s40864-018-0078-4.
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