Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

A best practice framework to measure spatial variation in alcohol availability

Fry, Richard, Orford, Scott ORCID:, Rogers, Sarah, Morgan, Jennifer and Fone, David ORCID: 2020. A best practice framework to measure spatial variation in alcohol availability. Environment and Planning B: Urban Analytics and City Science 47 (3) , pp. 381-399. 10.1177/2399808318773761

[thumbnail of S Orford 2018 Spatial Variation Alcohol Availability postprint.pdf]
PDF - Accepted Post-Print Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview


Alcohol outlet density and alcohol-related harms are an internationally reported phenomenon. There are multiple methods described in the literature to measure alcohol outlet density, but with very little commentary on the geographical underpinnings of the methods. In this paper, we present a framework to help practitioners and researchers choose the most appropriate spatial method of measuring alcohol outlet density. The framework includes components on theoretical geography, statistical implications and practical considerations, with an emphasis on population-level exposure. We describe the CHALICE alcohol outlet density measurement method that was developed to investigate the relationships between alcohol outlet density and population harm. The CHALICE method is compared to four other methods found in the published literature. We demonstrate the impact of methodological choices (e.g. network vs. Euclidean distances) on resulting alcohol outlet density scores. We conclude that wherever possible the best practice approach to modelling alcohol outlet density should be used to facilitate flexibility in subsequent statistical analysis and improve the transparency of the results.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Geography and Planning (GEOPL)
Additional Information: Released with a Creative Commons Attribution Non-Commercial No Derivatives License (CC BY-NC-ND)
Publisher: SAGE Publications
ISSN: 0265-8135
Date of First Compliant Deposit: 26 April 2018
Date of Acceptance: 3 April 2018
Last Modified: 07 Nov 2023 01:32

Citation Data

Cited 6 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics