Geographical Analysis of Smoking in Leeds: A GIS-Based Location-Allocation Technique for the Optimal Location of Smoking Cessation Services

Abstract

<p class="MsoNormal"> <span lang="EN-GB">Smoking is associated with several illnesses in the <st1:country-region w:st="on"><st1:place w:st="on">UK</st1:place></st1:country-region>. Smoking rate in <st1:place w:st="on">Leeds</st1:place> 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 <st1:place w:st="on">Leeds</st1:place>. 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 <st1:place w:st="on"><st1:country-region w:st="on">UK</st1:country-region></st1:place>. 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 wealth</span><span lang="EN-GB">ier</span><span lang="EN-GB"> neighbourhoods. The study confirms the capability of GIS-Based location-allocation techniques to be useful modelling tools for determining </span><span lang="EN-GB">the </span><span lang="EN-GB">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.</span> </p

Mapping the Malaysian Smoking Cessation Clinics: A Geographic Information System–Based Study

“…The distribution of SCCs in Malaysia is similar to other countries, which were more concentrated in major cities such as in Kuala Lumpur, Selangor, and Johor Bahru. 10,11 The results in this study also revealed that SCCs were more evenly distributed in the Peninsular region than in the Borneo Island. This is very similar to the situation in other countries, where SCCs are not viable in rural areas as a result of lack of health care professionals, high costs, and low population density.…”

“…6,29,30 This model could enable decision makers to visualize which area that has the urgent need of SCCs together with minimal travel distance. 10 GIS methods have long been used to obtain insights into health inequalities, resulting in a clearer understanding of spatial patterns, and relationships between service access and marginalized communities. 12 The strength of this study is that this is a national study where all available SCCs in Malaysia were included and to the best of our knowledge, the first study in Malaysia to map out the availability of these SCCs against the smokers' population.…”

“…One method that can be used is by geomapping with geographic information system (GIS) tools. 10 GIS can provide insights on geographical inequities on accessibility to any health care service. 11 Information presented this way could be of significant value in the initial stages of planning the location of SCCs in a population.…”

A Gradient Flow Perspective on the Quantization Problem

“…. , x N ∈ Ω, we seek the best approximation of ρ, in the sense of Wasserstein distances 1 , by a convex combination of Dirac masses centered at x 1 , . .…”

Modelos de localización asignación utilizando redes dinámicas a partir de ficheros GTFS y datos de TomTom

“…Los modelos de Localización Asignación (MLA) son utilizados para resolver una amplia variedad de problemas del sector público y privado (Brandeau y Chiu 1989). Por ejemplo, se han empleado para encontrar la mejor ubicación de instalaciones de salud (Ajebon y Asikhia, 2013;Chukwusa y Comber, 2018;Özceylan et al 2017), instalaciones para el tratamiento de desechos sólidos (Alonso 2016, El-Hallaq y Mosabeh, 2019Erfani et al 2018), para estaciones de bicicletas (García-Palomares et al 2012), escuelas (Wondwossen y Bedasa, 2019) y muchas otras aplicaciones. Tradicionalmente, los MLA se abordaban considerando la red de forma estática, ya que no existían datos que permitieran conocer las condiciones del tráfico o la frecuencia del transporte público.…”