Sustainable Zoning, Land-Use Allocation and Facility Location Optimisation in Smart Cities

Ahmed WA Hammad, Ali Akbarnezhad, Assed Haddad and Elaine Garrido Vazquez
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Ahmed WA Hammad: Faculty of Built Environment, UNSW Sydney, Sydney 2052, Australia
Ali Akbarnezhad: School of Civil Engineering, The University of Sydney, Sydney 2006, Australia
Assed Haddad: Departamento de Construção Civil, Escola Politécnica da Universidade Federal do Rio de Janeiro, Athos da Silveira Ramos 149, Ilha do Fundão, RJ, Brazil
Elaine Garrido Vazquez: Departamento de Construção Civil, Escola Politécnica da Universidade Federal do Rio de Janeiro, Athos da Silveira Ramos 149, Ilha do Fundão, RJ, Brazil

Energies, 2019, vol. 12, issue 7, 1-23

Abstract: Many cities around the world are facing immense pressure due to the expediting growth rates in urban population levels. The notion of ‘smart cities’ has been proposed as a solution to enhance the sustainability of cities through effective urban management of governance, energy and transportation. The research presented herein examines the applicability of a mathematical framework to enhance the sustainability of decisions involved in zoning, land-use allocation and facility location within smart cities. In particular, a mathematical optimisation framework is proposed, which links through with other platforms in city settings, for optimising the zoning, land-use allocation, location of new buildings and the investment decisions made regarding infrastructure works in smart cities. Multiple objective functions are formulated to optimise social, economic and environmental considerations in the urban space. The impact on underlying traffic of location choices made for the newly introduced buildings is accounted for through optimised assignment of traffic to the underlying network. A case example on urban planning and infrastructure development within a smart city is used to demonstrate the applicability of the proposed method.

Keywords: sustainable smart city; mathematical optimisation; urban design; bilevel modelling; location theory; traffic assignment; infrastructure expansion; building location (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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