The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
Accessibility to sport facilities in Wales: A GIS-based analysis of socio-economic variations in provision
Abstract
Previous studies concerned with investigating the relationship between levels of physical activity and aspects of the built environment have often led to inconsistent and mixed findings concerning associations between the availability of recreational or sport facilities and area socio-economic status. Further complications may arise when analysis is conducted separately for access to either publicly available or private facilities or where alternative methodological approaches to measuring accessibility are adopted. This paper provides a review of such research before exploring the potential use of methods for examining variations in accessibility based on enhanced floating catchment area (FCA) models which are increasingly being advocated in medical geography applications. Using bespoke tools developed within a commercial GIS package, which are being made publicly available by the authors, and a national database of sport facilities, variations in accessibility are investigated in relation to a widely used measure of deprivation in the UK. Findings from this analysis suggest that whilst those living in deprived areas of Wales have greater potential access to publicly available sporting opportunities, associations with privately owned facilities are reversed for some distance thresholds and at different spatial scales. The paper concludes by drawing attention to the implications of such findings given current financial pressures on local government and other sport and leisure providers and highlights how spatial analytical techniques can be used to monitor such trends.
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(2017) · Encyclopedia of GIS · doi:10.1007/978-3-319-17885-1_100791 · Cited by 1,879
Luo, W., & Wang, F. (2003) · Environment and Planning B: Planning and Design · doi:10.1068/b29120 · Cited by 1,789
Environmental factors associated with adults' participation in physical activity A review
Humpel, N. (2002) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(01)00426-3 · Cited by 1,783
Spatial accessibility of primary care: concepts, methods and challenges
Guagliardo, M. F. (2004) · International Journal of Health Geographics · doi:10.1186/1476-072x-3-3 · Cited by 1,533
Measuring the Built Environment for Physical Activity
Brownson, R. C., Hoehner, C. M., Day, K., Forsyth, A., & Sallis, J. F. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2009.01.005 · Cited by 1,318
Townsend, P. (1987) · Journal of Social Policy · doi:10.1017/s0047279400020341 · Cited by 1,294
Giles-Corti, B., & Donovan, R. J. (2002) · Social Science & Medicine · doi:10.1016/s0277-9536(01)00150-2 · Cited by 1,283
Luo, W., & Qi, Y. (2009) · Health & Place · doi:10.1016/j.healthplace.2009.06.002 · Cited by 1,220
Davison, K. K., & Lawson, C. T. (2006) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-3-19 · Cited by 1,044
Neighborhood Environment and Physical Activity Among Youth
Ding, D., Sallis, J. F., Kerr, J., Lee, S., & Rosenberg, D. E. (2011) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2011.06.036 · Cited by 914
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Xing, L., Liu, Y., Liu, X., Wei, X., & Mao, Y. (2017) · Habitat International · doi:10.1016/j.habitatint.2017.11.002 · Cited by 120
Xing, L., Chen, Q., Liu, Y., & He, H. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.105049 · Cited by 78
Measuring the spatial accessibility to fire stations using enhanced floating catchment method
Kiran, K. C., Corcoran, J., & Chhetri, P. (2018) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2018.11.010 · Cited by 78
Tan, C. L. Y., Chang, C., Nghiem, L. T. P., Zhang, Y., Oh, R. R. Y., Shanahan, D. F., Lin, B. B., Gaston, K. J., Fuller, R. A., & Carrasco, L. R. (2020) · Urban forestry & urban greening · doi:10.1016/j.ufug.2020.126947 · Cited by 61
Kajosaari, A., & Rinne, T. E. (2020) · International Journal of Health Geographics · doi:10.1186/s12942-020-00227-z · Cited by 56
Metadata
- Authors
- Higgs, G., Langford, M., & Norman, P.
- Affiliations
- University of South Wales (GB)
- University of Leeds (GB)
- Corresponding author
- Higgs, Gary
- Venue
- Geoforum
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 62
- Pages
- 105-120
- ISSN
- 0016-7185 (ISSN-L)
- OpenAlex
- W300340842
- Cited by
- 95
- References
- 94
- Citations by year
- 2026: 14 · 2025: 10 · 2024: 8 · 2023: 10 · 2022: 8 · 2021: 7 · 2020: 14 · 2019: 10 · 2018: 6 · 2017: 6 · 2016: 2
- FWCI
- 8.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Geoforum (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Funders
- ESRC (ES/L009099/1)
- Topics
- Social Sciences › Transportation › Urban Transport and Accessibility
- Social Sciences › Urban Studies › Urban Green Space and Health
- Social Sciences › Sociology and Political Science › Sociology, History and Politics of Sport
- Keywords
- socioeconomic deprivation, floating catchment area, physical activity, built environment, spatial scale, distance threshold, Wales, leisure provision
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- Higgs, G., Langford, M., & Norman, P. (2015). Accessibility to sport facilities in Wales: A GIS-based analysis of socio-economic variations in provision. Geoforum. https://doi.org/10.1016/j.geoforum.2015.04.010
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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