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A Strategy-Based Model for Low Carbon Cities

Department of Urban and Regional Planning, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Author to whom correspondence should be addressed.
Sustainability 2018, 10(12), 4828;
Received: 28 October 2018 / Revised: 8 December 2018 / Accepted: 10 December 2018 / Published: 18 December 2018
(This article belongs to the Special Issue Sustainable Urban Development and Growth Management)
Low carbon cities are increasingly forming a distinct strand of sustainability literature. Models have been developed to measure the performance of low carbon cities. The purpose of this paper is to formulate a strategy-based model to evaluate current performance and predict future conditions of low carbon cities. It examines the dynamic interrelationships between key performance indicators (KPIs), induces changes to city plan targets, and then instantly predicts the outcome of these changes. Designed to be generic and flexible, the proposed model shows how low carbon targets could be used to guide the transformation of low carbon cities under four strategies: (1) Passive intervention, (2) problem solving, (3) trend modifying, and (4) opportunity seeking. Further, the model has been applied to 17 cities and then tested on five cities: London, New York, Barcelona, Dubai, and Istanbul. The paper concludes with policy implications to realign city plans and support low carbon innovation. View Full-Text
Keywords: climate change; carbon emissions; low carbon city; sustainability; strategy-based model; SMLC climate change; carbon emissions; low carbon city; sustainability; strategy-based model; SMLC
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MDPI and ACS Style

Hasyimi, V.; Azizalrahman, H. A Strategy-Based Model for Low Carbon Cities. Sustainability 2018, 10, 4828.

AMA Style

Hasyimi V, Azizalrahman H. A Strategy-Based Model for Low Carbon Cities. Sustainability. 2018; 10(12):4828.

Chicago/Turabian Style

Hasyimi, Valid, and Hossny Azizalrahman. 2018. "A Strategy-Based Model for Low Carbon Cities" Sustainability 10, no. 12: 4828.

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