JGIS  Vol.5 No.3 , June 2013
Geographical Analysis of Smoking in Leeds: A GIS-Based Location-Allocation Technique for the Optimal Location of Smoking Cessation Services
ABSTRACT

Smoking is associated with several illnesses in the UK. Smoking rate in Leeds is higher than the national average. Finding optimal locations for stop-smoking services will be a good place to start in reducing smoking rates. The study utilizes a GIS-Based location-allocation method for the optimal distribution of smoking cessation centres in relation to the spatial distribution of the smoking population in Leeds. The demand for the smoking cessation clinics was estimated based on the 2009 General Life Style (GLS) statistics on age and social class stratification of smoking rates for the UK. Leeds specific rates were then obtained from the 2001 census key statistics data on socioeconomic status and age structure for output areas via Census Area Statistics Website (CASWEB). The research findings show that spatial inequalities in smoking rate exist in output areas of Leeds. Poorer and non-skilled populations are demonstrated to have higher smoking rates compared with wealthier neighbourhoods. The study confirms the capability of GIS-Based location-allocation techniques to be useful modelling tools for determining the best locations for health facilities. The model allocates services in relation to the spatial patterns of demand in a fashion that minimises average travel distance.


Cite this paper
M. Ajebon and M. Asikhia, "Geographical Analysis of Smoking in Leeds: A GIS-Based Location-Allocation Technique for the Optimal Location of Smoking Cessation Services," Journal of Geographic Information System, Vol. 5 No. 3, 2013, pp. 269-280. doi: 10.4236/jgis.2013.53026.
References
[1]   M. N. Tomintz, G. P. Clarke and J. E. Rigby, “The Geography of Smoking in Leeds: Estimating Individual Smoking Rates and the Implications for the Location of Stop Smoking Services,” Area, Vol. 40, No. 3, 2008, pp. 341-353. doi:10.1111/j.1475-4762.2008.00837.x

[2]   J. Pearce, R. Barnett and G. Moon, “Sociospatial Inequalities in Health-Related Behaviours: Pathways Linking Place and Smoking,” Progress in Human Geography, Vol. 36, No. 1, 2011, pp. 3-24.

[3]   M. N. Tomintz, G. P. Clarke and J. E. Rigby, “Planning the Location of Stop Smoking Services at the Local Level: A Geographic Analysis,” The Journal of Smoking Cessation, Vol. 4, No. 2, 2009, pp. 61-73. doi:10.1375/jsc.4.2.61

[4]   M. N. Tomintz, G. P. Clarke and J. E. Rigby, “A Microsimulation Model to Find Optimal Locations for Smoking Cessation Services,” Royal Geographical Society, Vol. 40, 2010, p. 21.

[5]   L. Wolfenden, J. Wiggers, J. Knight, E. Campbell, A. Spigelman, R. Kerridge and K. Moore, “Increasing Smoking Cessation Care in a Preoperative Clinic: A Randomized Controlled Trial,” Preventive Medicine, Vol. 41, No. 1, 2005, pp. 284-290. doi:10.1016/j.ypmed.2004.11.011

[6]   G. E. Guindon and D. Boisclair, “Past, Current and Future Trends in Tobacco Use,” WHO Tobacco Control Papers, Vol. 63, 2003.

[7]   A. McEwen, L. Condliffe and A. Gilbert, “Promoting Engagement with a Stop Smoking Service via Pro-Active Telephone Calls,” Patient Education and Counseling, Vol. 80, No. 2, 2010, pp. 277-279. doi:10.1016/j.pec.2009.11.009

[8]   F. Popham, “To What Extent Can Deprivation Inequalities in Mortality and Heart Disease Incidence amongst the Working Aged in Scotland Be Explained by Smoking? Relative and Absolute Approaches,” Health & Place, Vol. 17, No. 5, 2011, pp. 1132-1136. doi:10.1016/j.healthplace.2011.05.008

[9]   J. E. Gibson, R. L. Murray, R. Borland, K. M. Cummings, G. T. Fong, D. Hammond and A. Mcneill, “The Impact of the United Kingdom’s National Smoking Cessation Strategy on Quit Attempts and Use of Cessation Services: Findings from the International Tobacco Control Four Country Survey,” Nicotine & Tobacco Research, Vol. 12, Supplement 1, 2010, pp. S64-S71. doi:10.1093/ntr/ntq119

[10]   L. Bauld, K. Judge and S. Platt, “Assessing the Impact of Smoking Cessation Services on Reducing Health Inequalities in England: Observational Study,” Tobacco Control, Vol. 16, No. 6, 2007, pp. 400-404. doi:10.1136/tc.2007.021626

[11]   T. N. I. C. L. Statistics, “Statistics on Smoking: England 2011,” The Health and Social Care Information Centre, 2011.

[12]   ASH Fact Sheet on Smoking Statistics, “Smoking Statistics: Who Smokes and How Much,” Fact Sheets on Smoking Statistics, Action on Smoking and Health, 2011.

[13]   K. Richardson, “Smoking, Low Income and Health Inequalities: Thematic Discussion Document,” Report for Action on Smoking and Health and the Health Development Agency, 2001.

[14]   Healthy Leeds, “Health and Wellbeing Partnership Plan: Improving Health and Reducing Health Inequalities in Leeds,” Healthy Leeds Partnership Initiative, 2009 to 2012.

[15]   R. Foley, M. C. Charlton and A. S. Fotheringham, “GIS in Health and Social Care Planning,” National Centre for Geocomputation, 2009. http://eprints.nuim.ie/2990/1/FoleyCharltonFotheringham_Final.pdf.

[16]   S. Robinson and H. Harris, “Smoking and Drinking among Adults, 2009,” General Lifestyle Survey, Office for National Statistics, 2011, 84 pp.

[17]   D. Vickers and P. Rees, “Creating the UK National Statistics 2001 Output Area Classification,” Journal of the Royal Statistical Society: Series A (Statistics in Society), Vol. 170, No. 2, 2007, pp. 379-403. doi:10.1111/j.1467-985X.2007.00466.x

[18]   A. Shankar, A. Mcmunn and A. Steptoe, “Health-Related Behaviors in Older Adults: Relationships with Socioeconomic Status,” American Journal of Preventive Medicine, Vol. 38, No. 1, 2010, pp. 39-46. doi:10.1016/j.amepre.2009.08.026

[19]   S. Rahma and D. K. Smith, “Use of Location-Allocation Models in Health Service Development Planning in Developing Nations,” European Journal of Operational Research, Vol. 123, No. 3, 2000, pp. 437-452. doi:10.1016/S0377-2217(99)00289-1

[20]   D. M. Smith, J. R. Pearce and K. Harland, “Can a Deterministic Spatial Microsimulation Model Provide Reliable Small-Area Estimates of Health Behaviours? An Example of Smoking Prevalence in New Zealand,” Health & Place, Vol. 17, No. 2, 2011, pp. 618-624. doi:10.1016/j.healthplace.2011.01.001

[21]   G. Vonk, S. Geertman and P. Schot, “A SWOT Analysis of Planning Support Systems,” Environment and Planning A, Vol. 39, No. 7, 2007, pp. 1699-1714. doi:10.1068/a38262

[22]   A. Murat, V. Verter and G. Laporte, “A Continuous Analysis Framework for the Solution of Location-Allocation Problems with Dense Demand,” Computers & Operations Research, Vol. 37, No. 1, 2010, pp. 123-136. doi:10.1016/j.cor.2009.04.001

 
 
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