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An evaluative framework for the appraisal of the planning role in smart cities

Byrne, R (2019) An evaluative framework for the appraisal of the planning role in smart cities. Masters thesis, Liverpool John Moores University.

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Utilising a sequential mixed-method design to investigate the relationship between planning and smart city development; this thesis aims to work toward an integrated response to these challenges through the provision of an evaluative framework for planning smart cities. Such a framework would act as a medium in recommending a future role and direction for the sector of planning and would aim to build upon the opportunities of technology found in smart cities. Such opportunities include improving the weaknesses of traditional-delivery-methods of development in what the thesis broadly views as an analogue approach to the future of cities challenge in a digital world. The thesis employs a grounded-theory approach to data analysis in phase one, before quantitatively analysing planning policy in phase two and comparing these measurements to questionnaire data in phase three to produce an evaluative framework for the role of planning in smart cities. This linkage via sequential steps for data collection and analysis is reflective of the holistic approach of planning as a profession, whereby a consultative process for expertise in the fields of transport, the environment, heritage and infrastructure combine to form a cohesive system of the built environment; leading this thesis to advocate for an introduction of a digital peer if cities are to be smart about their transformation. In being knowledgeable about this transformation the study’s main findings break down the cycle of data in smart cities to data capture, data communication, data processing and data production; before relating these to smart city development principles that combine with the project phases of planning developments to form quadrants, or areas of opportunity, for planning smart cities – building upon the strengths of planning to improve the capacity of cities in operating throughout the new environment of the digital world.

Item Type: Thesis (Masters)
Uncontrolled Keywords: smart city; smart cities; future cities; town planning; urban planning; planning; data
Subjects: N Fine Arts > NA Architecture
T Technology > TH Building construction
Divisions: Civil Engineering & Built Environment
Date Deposited: 17 Apr 2019 08:57
Last Modified: 21 Dec 2022 11:59
DOI or ID number: 10.24377/LJMU.t.00010560
Supervisors: Mulliner, E and Ross, A
URI: https://researchonline.ljmu.ac.uk/id/eprint/10560
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