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Christopher Rogers   Professor  Senior Scientist or Principal Investigator 
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Christopher Rogers published an article in October 2018.
Top co-authors See all
Allan Saul

306 shared publications

GSK Vaccines Institute for Global Health, Italy

John R. Bryson

268 shared publications

Hubert H. Humphrey School of Public Affairs, University of Minnesota, Minneapolis, MN, USA

Edward Derbyshire

169 shared publications

Nutritional Insight Limited, United Kingdom

M.J. Brennan

147 shared publications

Department of Mechanical Engineering, UNESP, Ilha Solteira, Brazil

Paul Henderson

145 shared publications

Department of Paediatric Gastroenterology; Royal Hospital for Sick Children; Edinburgh UK

66
Publications
159
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107
Citations
Publication Record
Distribution of Articles published per year 
(1995 - 2018)
Total number of journals
published in
 
31
 
Publications See all
Article 0 Reads 0 Citations Reading cities: Developing an urban diagnostics approach for identifying integrated urban problems with application to t... Joanne M. Leach, Rachel A. Mulhall, Chris D.F. Rogers, John ... Published: 01 October 2018
Cities, doi: 10.1016/j.cities.2018.09.012
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For policymakers, planners, urban design practitioners and city service decision-makers who endeavour to create policies and take decisions to improve the function of cities, developing an understanding of cities, and the particular city in question, is important. However, in the ever-increasing field of urban measurement and analysis, the challenges cities face are frequently presumed: crime and fear of crime, social inequality, environmental degradation, economic deterioration and disjointed governance. Although it may be that many cities share similar problems, it is unwise to assume that cities share the same challenges, to the same degree or in the same combination. And yet, diagnosing the challenges a city faces is often overlooked in preference for improving the understanding of known challenges. To address this oversight, this study evidences the need to diagnose urban challenges, introduces a novel mixed-methods approach for doing so, applies (and critiques) the approach to the city of Birmingham, UK, and proposes a set of principles for the transferability of this new urban diagnostic methodology to other cities. The paper argues that applying a rigorous, explorative, diagnostic approach to ‘reading cities’ provides confidence that all critical challenges have been identified and, crucially, identifies how they are interdependent, both of which have implications for how policymakers and decision-makers address a particular city's combination of interlinked challenges.
Article 0 Reads 1 Citation Sustainability assessment for urban underground utility infrastructure projects Aryan Hojjati, Ian Jefferson, Nicole Metje, Christopher D. F... Published: 01 April 2018
Proceedings of the Institution of Civil Engineers - Engineering Sustainability, doi: 10.1680/jensu.16.00050
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Article 8 Reads 0 Citations EATS: a life cycle-based decision support tool for local authorities and school caterers Valeria De Laurentiis, Dexter V. L. Hunt, Susan E. Lee, Chri... Published: 16 March 2018
The International Journal of Life Cycle Assessment, doi: 10.1007/s11367-018-1460-x
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This paper describes the research that underpins the development of EATS (the Environmental Assessment Tool for School meals), a life cycle-based decision support tool for local authorities and their contractors responsible for providing catering services to schools. The purpose of this tool is to quantify the carbon footprint (CF) and water footprint (WF) of the meals served in order to identify hotspot meals and ingredients, and suggest simple, yet transformative, reduction measures. A case study is used to test the tool, comparing the impacts of 34 school meal recipes. The tool utilises secondary data to calculate values of CF and WF for a school meal from cradle to plate. This includes three phases: (1) food production, (2) transport of each ingredient to a generic school kitchen in the UK, and (3) meal preparation. Considerations for waste along the supply chain are included. After testing the tool against a set of nutritionally compliant meals, a sensitivity analysis was performed to investigate the influence of the origin and seasonality of the ingredients, transport mode and cooking appliances used on the final results. The results of the case study show the predominance of the production phase in the overall carbon footprint and that there is a strong tendency towards lower impacts for meat-free meals; however, this is not always the case, for instance some of the chicken-based meals present lower impacts than vegetarian meals rich in dairy ingredients. The sensitivity analysis performed on one of the meals shows that the highest value of CF is obtained when the horticultural products are out of season and produced in heated greenhouses, whilst the highest value of WF is obtained when the origin of the ingredients is unknown and the global average values of WF are used in the analysis; this defines a crucial data need if accurate analyses are to be uniformly possible. This article focuses on the potential offered by the public food sector for a transformative reduction in the environmental impact of urban food consumption. The results presented prove that careful menu planning and procurement choices can considerably reduce the overall environmental impact of the service provided without compromising quality or variety. This research thus supports those responsible for making these decisions via a user-friendly tool based on robust scientific evidence.
Article 0 Reads 0 Citations Embedding sustainability criteria into pre-appraisal of underground utility for future cities Aryan Hojjati, Ian Jefferson, Nicole Metje, Christopher D. F... Published: 01 December 2017
Proceedings of the Institution of Civil Engineers - Urban Design and Planning, doi: 10.1680/jurdp.17.00023
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Article 4 Reads 1 Citation Dataset of the livability performance of the city of Birmingham, UK, as measured by its citizen wellbeing, resource secu... Joanne M. Leach, Susan E. Lee, Christopher T. Boyko, Claire ... Published: 01 December 2017
Data in Brief, doi: 10.1016/j.dib.2017.10.004
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This data article presents the UK City LIFE1 data set for the city of Birmingham, UK. UK City LIFE1 is a new, comprehensive and holistic method for measuring the livable sustainability performance of UK cities. The Birmingham data set comprises 346 indicators structured simultaneously (1) within a four-tier, outcome-based framework in order to aid in their interpretation (e.g., promote healthy living and healthy long lives, minimize energy use, uncouple economic vitality from CO2 emissions) and (2) thematically in order to complement government and disciplinary siloes (e.g., health, energy, economy, climate change). Birmingham data for the indicators are presented within an Excel spreadsheet with their type, units, geographic area, year, source, link to secondary data files, data collection method, data availability and any relevant calculations and notes. This paper provides a detailed description of UK city LIFE1 in order to enable comparable data sets to be produced for other UK cities. The Birmingham data set is made publically available at http://epapers.bham.ac.uk/3040/ to facilitate this and to enable further analyses. The UK City LIFE1 Birmingham data set has been used to understand what is known and what is not known about the livable sustainability performance of the city and to inform how Birmingham City Council can take action now to improve its understanding and its performance into the future (see “Improving city-scale measures of livable sustainability: A study of urban measurement and assessment through application to the city of Birmingham, UK” Leach et al. [2]).
Article 4 Reads 1 Citation Briefing: Resource scarcity and resource security – a suppressed civil engineering challenge Chris D. F. Rogers, Dexter V. L. Hunt, Joanne M. Leach, Phil... Published: 01 May 2017
Proceedings of the Institution of Civil Engineers - Waste and Resource Management, doi: 10.1680/jwarm.17.00008
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