Next Article in Journal
Valuing Cultural Services of the Kailash Sacred Landscape for Sustainable Management
Next Article in Special Issue
An Analytic Hierarchy Process (AHP) Approach for Sustainable Assessment of Economy-Based and Community-Based Urban Regeneration: The Case of South Korea
Previous Article in Journal
Facilitating Business Collaborations for Industrial Symbiosis: The Pilot Experience of the Sustainable Industrial Network Program in Colombia
Previous Article in Special Issue
Applying the SDGs to Cities: Business as Usual or a New Dawn?

A Comparative Analysis of Global Datasets and Initiatives for Urban Health and Sustainability

Institute for Environmental Design and Engineering, University College London, Central House, 14 Upper Woburn Place, London WC1H 0NN, UK
Department of Social and Environmental Health Research, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK
Author to whom correspondence should be addressed.
Membership of the SHUE Consortium is provided in the Acknowledgments.
Sustainability 2018, 10(10), 3636;
Received: 30 August 2018 / Revised: 1 October 2018 / Accepted: 9 October 2018 / Published: 11 October 2018
(This article belongs to the Special Issue Assessing The New Urban Agenda)
Globally, urban populations are growing rapidly, and in most cases their demands for resources are beyond current limits of sustainability. Cities are therefore critical for achieving national and international sustainability objectives, such as greenhouse gas reduction. Improving sustainability may also provide opportunities for urban population health co-benefits by reducing unhealthy exposures and behaviours. However, there is currently sparse empirical evidence on the degree to which city characteristics are associated with variations in health-related exposures, behaviours and sustainability. This paper examines the feasibility of aggregating empirical data relating to sustainability and health for global cities. An initial scoping review of existing English-language datasets and networks is performed. Resulting datasets are analysed for data types, collection method, and the distribution of contributing cities across climates, population sizes, and wealth. The review indicates datasets are populated using inconsistent methodologies and metrics and have poor overlap of cities between them. Data and organisations tend to be biased towards larger and wealthier cities, and concentrated in Europe and North America. Therefore, despite vast amounts of available data, limitations of reliability, representativeness, and disparate sources mean researchers are faced with significant obstacles when aggregating data to analyse the sustainability and health of globally representative samples of cities. View Full-Text
Keywords: urban; health; sustainability; data; organizations urban; health; sustainability; data; organizations
Show Figures

Figure 1

MDPI and ACS Style

Taylor, J.; Haines, A.; Milner, J.; Davies, M.; Wilkinson, P. A Comparative Analysis of Global Datasets and Initiatives for Urban Health and Sustainability. Sustainability 2018, 10, 3636.

AMA Style

Taylor J, Haines A, Milner J, Davies M, Wilkinson P. A Comparative Analysis of Global Datasets and Initiatives for Urban Health and Sustainability. Sustainability. 2018; 10(10):3636.

Chicago/Turabian Style

Taylor, Jonathon, Andy Haines, James Milner, Mike Davies, and Paul Wilkinson. 2018. "A Comparative Analysis of Global Datasets and Initiatives for Urban Health and Sustainability" Sustainability 10, no. 10: 3636.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop