Dimitris Potoglou

Prof. Dr. Dimitris Potoglou

School of Geography and Planning, Cardiff University, Wales, UK
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 August 2004 in Journal of Exposure Science & Environmental Epidemiology
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Journal Article
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MJMichael Jerrett
Michael Jerrett
MAM. Altaf Arain
M. Altaf Arain
PKPavlos Kanaroglou
Pavlos Kanaroglou
BBBernardo Beckerman
Bernardo Beckerman
Dimitris PotoglouDimitris Potoglou
Dimitris Potoglou
CGChris Giovis
Chris Giovis
The development of models to assess air pollution exposures within cities for assignment to subjects in health studies has been identified as a priority area for future research. This paper reviews models for assessing intraurban exposure under six classes, including: (i) proximity-based assessments, (ii) statistical interpolation, (iii) land use regression models, (iv) line dispersion models, (v) integrated emission-meteorological models, and (vi) hybrid models combining personal or household exposure monitoring with one of the preceding methods. We enrich this review of the modelling procedures and results with applied examples from Hamilton, Canada. In addition, we qualitatively evaluate the models based on key criteria important to health effects assessment research. Hybrid models appear well suited to overcoming the problem of achieving population representative samples while understanding the role of exposure variation at the individual level. Remote sensing and activity–space analysis will complement refinements in pre-existing methods, and with expected advances, the field of exposure assessment may help to reduce scientific uncertainties that now impede policy intervention aimed at protecting public health.

1 June 2007 in Transportation Research Part D: Transport and Environment
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Journal Article
Closed access
Dimitris PotoglouDimitris Potoglou
Dimitris Potoglou
PKPavlos S. Kanaroglou
Pavlos S. Kanaroglou

1 March 2012 in Health Technology Assessment
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Journal Article
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ANA Netten
A Netten
PBP Burge
P Burge
JMJ Malley
J Malley
Dimitris PotoglouDimitris Potoglou
Dimitris Potoglou
ATAnn-Marie Towers
Ann-Marie Towers
BWB Wall
B Wall
The aim of this study was to develop a measure of social care outcome, an equivalent to the quality-adjusted life year (QALY) in health, which could be used in a range of circumstances. The project drew on previous and parallel work developing the Adult Social Care Outcome Toolkit and the national Adult Social Care Survey. We developed and tested an instrument designed to reflect service users' social care-related quality of life (SCRQoL) and tested it with 30 service users from a variety of user groups and 300 older home care service users. In parallel, we explored discrete choice experiment (DCE) and best-worst scaling (BWS) approaches to preference elicitation with 300 members of the general population, and cognitively tested these with service users. We also cognitively tested a computer-aided time trade-off (TTO) exercise using SCRQoL attributes with members of the general population. In the second phase, using the finalised instruments, BWS interviews were conducted with 500 members of the general population, TTO interviews with a follow-up sample of 126 of these respondents, and BWS interviews with 458 people using equipment services. The final measure had eight domains: personal cleanliness and comfort, accommodation cleanliness and comfort, food and drink, safety, social participation and involvement, occupation, control over daily life and dignity. In addition to measuring current SCRQoL, the instrument includes questions used to establish service users' views of their 'expected' SCRQoL in the absence of services. The difference between a person's current and 'expected' SCRQoL provides an indicator of service impact. There was good evidence for the validity of the descriptive system and the validity of the current, expected and SCRQoL gain scales. The DCE and BWS approaches yielded similar results and, once introductions made clear, were understood by service users. BWS was used for the main stages, as it had technical and cognitive advantages. The computer-aided approach to TTO worked well, and respondents found questions acceptable and understandable. There were no substantive differences in the preferences of service users and the general population. The key domain was control over daily life, with the lowest and highest levels strongly estimated in all models. After allowing for observable heterogeneity, service users' preferences appeared to be more closely associated with their own SCRQoL than with those of the general population. The consistency of the results with the results of a previous study allowed the final model to be based on the preferences of 1000 members of the general population. A formula based on the relationship between TTO and BWS values was estimated for a social care QALY, with '0' equivalent to 'being dead' and '1' being the 'ideal' SCRQoL state. Members of the population experienced significantly higher SCRQoL than service users. Although further work is needed, particularly to develop an equivalent measure for informal carers and to explore the links with health QALYs, the measure has considerable potential. A number of methodological advances were achieved, including the first application of TTO in a social care context and use of BWS to establish service user preferences. The National Institute for Health Research Health Technology Assessment programme.

16 July 2011 in Transportation
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Journal Article
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ADAndrew Daly
Andrew Daly
SHStephane Hess
Stephane Hess
BPBhanu Patruni
Bhanu Patruni
Dimitris PotoglouDimitris Potoglou
Dimitris Potoglou
CRCharlene Rohr
Charlene Rohr

1 January 2008 in Journal of Transport Geography
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Journal Article
Closed access
Dimitris PotoglouDimitris Potoglou
Dimitris Potoglou
PKPavlos S. Kanaroglou
Pavlos S. Kanaroglou

1 January 2007 in Urban Studies
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Journal Article
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APAntonio Paez
Antonio Paez
DSDarren Scott
Darren Scott
Dimitris PotoglouDimitris Potoglou
Dimitris Potoglou
PKPavlos Kanaroglou
Pavlos Kanaroglou
Bruce NewboldBruce Newbold
Bruce Newbold
Recent interest in the urban transport challenges posed by the demographic outlook of ageing societies has prompted a growing body of scholarship on the subject. The focus of this paper is on the topic of elderly trip generation and the development of models to help formalise some important relationships between trip-making behaviour and personal, household and contextual variables (such as location). The case study is the Hamilton Metropolitan Area-an important functional component of Greater Toronto, itself one of the regions in Canada where the impact of ageing is expected to be most strongly felt. Using data from Toronto's Transport Tomorrow Survey and mixed ordered probit models, the study investigates the question of spatial and demographic variability in trip-making behaviour. The results support the proposition that trip-making propensity decreases with age. However, it is also found that this behaviour is not spatially homogeneous and in fact exhibits a large degree of variability-a finding that highlights both the challenges of planning transport for the elderly and the potential of spatial analytical approaches to improve transport modelling practice.