A multi-criteria decision making approach for the urban renewal in Southern India

Abstract India is witnessing rapid urbanization due to increase in population in cities. This poses a major challenge to the urban renewal process. This paper aims to provide an urban renewal framework for the development of cities in India under the ambit of smart cities mission, an initiative by the Government of India. To guide practices related to management of urban areas and advance policy-making decisions and scientific inquiry in this domain, we identify 7 criteria and 27 sub-criteria mainly from the literature related to socio-technical perspectives. To handle the inter-relations among the identified criteria and sub-criteria, we propose a multi-criteria decision-making (MCDM) approach based on Decision Making Trial and Evaluation Laboratory based Analytic Network Process (DANP). Moreover, the effectiveness of the proposed methodology for urban renewal in South India is demonstrated with a real-life case study. Finally, we establish how the obtained results will help the policy makers to initiate urban renewal in southern India.

[1]  P. Bocquier WORLD URBANIZATION PROSPECTS: AN ALTERNATIVE TO THE UN MODEL OF PROJECTION COMPATIBLE WITH URBAN TRANSITION THEORY 1 , 2005 .

[2]  Bing Jiang Zhang,et al.  Application of Multipurpose Decision Making Problem with AHP and Rectilinear Norm in Old Town Renewal Proposals , 2014, CIT 2014.

[3]  Gary W. Muller,et al.  Designing Effective Organizations: The Sociotechnical Systems Perspective , 1988 .

[4]  M. Hodson,et al.  Can cities shape socio-technical transitions and how would we know if they were? , 2010 .

[5]  Sin-Jin Lin,et al.  Construction method selection for green building projects to improve environmental sustainability by using an MCDM approach , 2013 .

[6]  Simon Elias Bibri,et al.  A foundational framework for smart sustainable city development: Theoretical, disciplinary, and discursive dimensions and their synergies , 2017 .

[7]  Till F. Paasche,et al.  Smart cities as corporate storytelling , 2014, The Routledge Companion to Smart Cities.

[8]  Nathalie Mitton,et al.  Towards a smart city based on cloud of things, a survey on the smart city vision and paradigms , 2017, Trans. Emerg. Telecommun. Technol..

[9]  Karoline S. Rogge,et al.  Transformative policy mixes in socio-technical scenarios: The case of the low-carbon transition of the German electricity system (2010–2050) , 2020, Technological Forecasting and Social Change.

[10]  Mamata Jenamani,et al.  Risk assessment of outsourcing e-procurement services: integrating SWOT analysis with a modified ANP-based fuzzy inference system , 2016 .

[11]  E. Chan,et al.  The Analytic Hierarchy Process (AHP) Approach for Assessment of Urban Renewal Proposals , 2008 .

[12]  M. Jenamani,et al.  E-procurement Service Provider Selection---An Analytic Network Process-Based Group Decision-Making Approach , 2012 .

[13]  R. Rajesh,et al.  Modeling enablers of supply chain risk mitigation in electronic supply chains: A Grey-DEMATEL approach , 2015, Comput. Ind. Eng..

[14]  T. Foxon,et al.  A socio-technical perspective on low carbon investment challenges – Insights for UK energy policy , 2015 .

[15]  Özer Uygun,et al.  An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company , 2015, Comput. Ind. Eng..

[16]  Nachiappan Subramanian,et al.  Dynamic temporary blood facility location-allocation during and post-disaster periods , 2019, Ann. Oper. Res..

[17]  K. Govindan,et al.  Supplier selection based on corporate social responsibility practices , 2016, International Journal of Production Economics.

[18]  F. Geels From sectoral systems of innovation to socio-technical systems: Insights about dynamics and change from sociology and institutional theory , 2004 .

[19]  M. Jenamani,et al.  Urban growth in Indian cities: Are the driving forces really changing? , 2017 .

[20]  Gwo-Hshiung Tzeng,et al.  Combining DRSA decision-rules with FCA-based DANP evaluation for financial performance improvements , 2015 .

[21]  Mark Deakin,et al.  From intelligent to smart cities , 2011 .

[22]  Gregory S. Yovanof,et al.  An Architectural Framework and Enabling Wireless Technologies for Digital Cities & Intelligent Urban Environments , 2009, Wirel. Pers. Commun..

[23]  Martin Skitmore,et al.  An integrated approach to supporting land-use decisions in site redevelopment for urban renewal in Hong Kong , 2013 .

[24]  Bhagya Nathali Silva,et al.  Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities , 2018 .

[25]  Yekang Ko,et al.  Socio-technical evolution of Decentralized Energy Systems: A critical review and implications for urban planning and policy , 2016 .

[26]  M. Cashmore,et al.  Socio-technical Systems as Place-specific Matters of Concern: The Role of Urban Governance in the Transition of the Wastewater System in Denmark , 2016 .

[27]  Mamata Jenamani,et al.  Sustainability in Supply Chain Through E-Procurement—An Assessment Framework Based on DANP and Liberatore Score , 2015, IEEE Systems Journal.

[28]  L. Suganthi,et al.  Evaluation of Sustainability Indicators in Smart Cities for India Using MCDM Approach , 2017 .

[29]  Hrishikesh Venkataraman,et al.  Greening the economy: A review of urban sustainability measures for developing new cities , 2017 .

[30]  Stanley D. Brunn,et al.  Cyberinfrastructures and ‘Smart’ World Cities: Physical, Human and Soft Infrastructures , 2011 .

[31]  Chia-Wei Hsu,et al.  Developing a Green Supplier Selection Model by Using the DANP with VIKOR , 2015 .

[32]  R. Hollands Will the real smart city please stand up? , 2008, The Routledge Companion to Smart Cities.

[33]  Debasis Sarkar Critical Success Factors for Sustainable Smart City Project in India , 2017 .

[34]  Majid Hussain,et al.  A methodology for real-time data sustainability in smart city: Towards inferencing and analytics for big-data , 2017 .

[35]  L. Carvalho Smart cities from scratch? A socio-technical perspective , 2015 .

[36]  M. Ramkumar,et al.  A modified ANP and fuzzy inference system based approach for risk assessment of in-house and third party e-procurement systems , 2016 .

[37]  Leonidas G. Anthopoulos,et al.  Smart utopia VS smart reality: Learning by experience from 10 smart city cases , 2017 .

[38]  Stephan Barthel,et al.  An urban ecology critique on the "Smart City" model , 2017 .

[39]  Kurt Steinert Making Cities Smart and Sustainable , 2011 .

[40]  Kannan Govindan,et al.  Evaluation of green manufacturing practices using a hybrid MCDM model combining DANP with PROMETHEE , 2015 .

[41]  G. Arslan,et al.  Factors affecting environmental sustainability of urban renewal projects , 2017 .