Abstract
Urban mobility is one of the toughest challenges faced by the cities in the developing world and mobility is a key dynamic of urbanization. Cities have been major contributors to greenhouse gas emissions and personal transport dependencies have been a concern. Government at federal level and state level have been trying to put in place a robust mobility system to control this menace. Without a proper performance measurement of urban mobility, it is difficult to identify and solve these problems. Ministry of Urban Development, Government of India have adopted a framework to benchmark cities designing a set of Service Level Benchmarks and aggregate them to find out an Index. In this paper, an attempt has been made to deliberate on creating a performance measurement framework for Urban Mobility Index (UMI) using a Fuzzy Multi-Criteria Decision-Making (MCDM) approach. A comparison of both the approach has been made by analyzing the UMI for 12 Indian cities. The paper identifies certain indicators which measure the sustainability as well as smartness of a city from the perspective of Urban Mobility. These indicators and the UMI can be used to asses the progress on city performance and corrective actions could be taken.
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References
Ministry of Urban Development and G. of I. N. Delhi (2015) Service level benchmarking in urban transport for Indian cities
Smart City_Reference Framework For India [Online]. http://niti.gov.in/mgov_file/CSTEPReportSmartCitiesFramework.pdf. Accessed 01 Dec 2015
Singh D, Tiong RLK (2005) A fuzzy decision framework for contractor selection. J Constr Eng Manag 131(1):62–70
Klir GJ, Folger TA (1988) Fuzzy sets, uncertainty, and information
Chen VYC, Lien H-P, Liu C-H, Liou JJH, Tzeng G-H, Yang L-S (2011) Fuzzy MCDM approach for selecting the best environment-watershed plan. Appl Soft Comput 11(1):265–275
Lad RK, Christian RA, Deshpande AW (2008) A fuzzy MCDM framework for the environmental pollution potential of industries focusing on air pollution. WIT Trans Ecol Environ 116:617–626
Khambete MAK, Christian RA (2014) Ranking sewage treatment plants with the application of fuzzy composite programming. Int J Sci Eng Technol 3(2):116–120
Chor H, Kumar A, Kong H, Use L, Hong T, Chin HC, Debnath AK, Yuen B (2010) The concept of smart cities
ITU (2015) Key performance indicators related to the use of information and communication technology in smart sustainable cities. In: Proceedings of the international conference on sustainable urbanization, 15–17 December 2010
Acknowledgements
The authors would like to acknowledge the contribution of Mr. Rajeev K R, Research Student, M Tech Urban Planning, SVNIT (2014–16).
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Tripathy, P., Khambete, A.K., Chauhan, K.A. (2019). An Innovative Approach to Assess Sustainability of Urban Mobility—Using Fuzzy MCDM Method. In: Deb, D., Balas, V., Dey, R., Shah, J. (eds) Innovative Research in Transportation Infrastructure. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Singapore. https://doi.org/10.1007/978-981-13-2032-3_6
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DOI: https://doi.org/10.1007/978-981-13-2032-3_6
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