Planning support systems for retail location planning

Newing, Andy; Hood, Nick; Sterland, Iain

doi:10.4337/9781788971089.00041

Cited by 6 publications

(15 citation statements)

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“…In almost all the contributions provided by the experts, while 'sustainability', 'resilience' and 'urban futures' were orientations at the core of their specific PSS applications, it is clear that there is now a much wider range of applications in fields that include, for example, retailing (Newing et al, 2020) and education (Boden et al, 2020). It is also apparent that more and more PSS are becoming fully dedicated to the specific demands of the particular application at hand, i.e.…”

Section: Applicationsmentioning

confidence: 99%

“…It becomes clear from the many examples of integration of data analytics, spatial informatics and PSS, that planning support is entering a new and exciting era of application possibilities. For example, Newing et al (2020) show how users' tweets can be used to build retail centre catchment areas and how the UK retailer M&S has used Twitter data to understand its consumers' origin locations and derive catchments at the level of individual stores.…”

Section: Instrumentationmentioning

confidence: 99%

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Planning support science: Developments and challenges

Geertman

Stillwell

2020

Environment and Planning B: Urban Analytics and City Science

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In this paper, we provide an update of recent developments and forthcoming challenges in the field of planning support systems, following earlier reviews in 2003 and 2009. The rationale for this update is the rapid development of information and communication technologies and their impact on planning support systems. After a brief retrospective assessment of past planning support system developments, the paper presents a synthesis of the experiences and views of a worldwide sample of invited planning support system experts, whose innovative contributions comprise a new Handbook of Planning Support Science. The developments documented by the experts together substantiate our impression that a fundamental transformation is taking place – a paradigm shift – wherein the field of planning support systems is maturing into a planning support science. From this perspective, it is expected that planning support systems will become indispensable instruments in the planning process in the not too distant future. The signs of this maturation are already visible in research, education and practice.

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Section: Applicationsmentioning

confidence: 99%

Section: Instrumentationmentioning

confidence: 99%

Planning support science: Developments and challenges

Geertman

Stillwell

2020

Environment and Planning B: Urban Analytics and City Science

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“…Clarke, Thompson, and Birkin (2015), Hood et al (2020) and Hood et al (2021) provide an excellent summary of the impacts of age, gender and affluence on e-groceries uptake. Higher income/education (Punj 2011;Clemes, Gan, and Zhang 2014;Van Droogenbroeck and Van Hove 2017;Davies, Dolega, and Arribas-Bel 2019;Hood et al 2020) younger age groups (predominantly mid-20s to mid-40s) (Clarke, Thompson, and Birkin 2015;Mortimer et al 2016;Hood et al 2020) and females (Mortimer et al 2016;Hood et al 2020) consistently found to be more likely to engage with e-groceries. Thus there are clear geodemographic and socioeconomic drivers of e-groceries uptake which will drive underlying geographical patterns in the use of these services at a local area or store level.…”

Section: Retail Location Models and The Geography Of E-commercementioning

confidence: 99%

“…First we build and calibrate a classic SIM capturing face-to-face (consumers travelling to stores) interactions using the "Yorkshire and the Humber" former regions of the United Kingdom (referred to hereafter as "Yorkshire") as our study area. Yorkshire offers a number of advantages for this study, having been extensively used as a case study area within the related literature (Clarke, Thompson, and Birkin 2015;Kirby-Hawkins, Birkin, and Clarke 2019;Hood et al 2020) and affording a diverse range of area type and composition in terms of urban-rural classification and affluence, both key drivers of e-commerce demand (Alexiou 2018). Second, we estimate small-area demand for groceries e-commerce, accounting for underlying small area socio-demographics and physical store access.…”

Section: Introductionmentioning

confidence: 99%

Incorporating E‐commerce into Retail Location Models

Beckers

Birkin

Clarke

et al. 2021

Geographical Analysis

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The use of location models in retail businesses is well‐established, particularly in the grocery sector. Many alternative methods are in use today but the spatial interaction model (SIM) has a proven record of success. To date, that success relates purely to face‐to‐face activities, modeling and predicting visits by consumers to retail outlets. However, grocery retailers are cutting back on store investments and concentrating on investment in the convenience market and e‐commerce: the latter has now reached a 7.2% share of the U.K. grocery market, with continued growth forecast. Although spatial models are used extensively for helping to locate new convenience stores, so far e‐commerce has not been built into existing retail location models. Yet e‐commerce seems to be a spatial activity. Extensive evidence demonstrates the geography of demand and supply are as important in groceries e‐commerce as they are in face‐to‐face grocery retailing. We therefore take up the challenge of incorporating e‐commerce into classic location models. Methodologically, we find the standard distance deterrent term in the production‐constrained SIM unsuitable for modeling e‐commerce flows: we explore inverting this term and find extensive gains in prediction accuracy, an interesting finding that contributes to the ongoing applied SIM literature.

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“… 1 See, for example, Mazzeo (2002) , Jia (2008) , Harrison and Seim (2019) for evidence. In addition, literature in operations research prescribes methods for using planning support systems for locational choice, for example Newing et al. (2020) .…”

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confidence: 99%

JUE Insight: Distributional Impacts of Retail Vaccine Availability

Chevalier

Schwartz

et al. 2022

Journal of Urban Economics

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We examine the potential for exploiting retailer location choice in targeting health interventions. Using geospatial data, we quantify proximity to vaccines created by a U.S. federal program distributing COVID-19 vaccines to commercial retail pharmacies. We assess the distributional impacts of a proposal to provide vaccines at Dollar General, a low-priced general merchandise retailer. Adding Dollar General to the federal program would substantially decrease the distance to vaccine sites for low-income, rural, and minority U.S. households, groups for which COVID-19 vaccine take-up has been disproportionately slow.

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Planning support systems for retail location planning

Cited by 6 publications

References 0 publications

Planning support science: Developments and challenges

Planning support science: Developments and challenges

Incorporating E‐commerce into Retail Location Models

JUE Insight: Distributional Impacts of Retail Vaccine Availability

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