Delimiting boundaries of market areas of central places using the density of retail facilities in an urban space

Lee, Byoung Kil; Lee, Sang-Kyeong

doi:10.1080/12265934.2014.890061

Cited by 4 publications

(16 citation statements)

References 18 publications

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“…The higher central places nest lower central places, so the hierarchical structure appeared. A central place exerts influence in a hexagon shape called the market area, which differs in size depending on the order of a central place (Christaller, 1966;Lee and Lee, 2014). Christaller s main assumption is an isotropic plane which means identical in all directions (Pirounakis, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In general, the distribution pattern of point features is explained by density and therefore, it is addressed best when using a distance with maximum point of the L-index as a kernel bandwidth. In this sense, the L-index can be useful tool to improve Lee and Lee s (2014) method. In this paper, we aim at improving the Lee and Lee s (2014) market area analysis method by using the L-index, which reflects the spatial distribution pattern of retail businesses.…”

Section: Introductionmentioning

confidence: 99%

“…In spite of prudent determination, however, these kernel bandwidths were pre-determined regardless of the spatial distribution pattern of retail businesses. In other words, it means that Lee and Lee (2014) do not use a fully data-based approach, which has advantage in reflecting reality.…”

Section: Introductionmentioning

confidence: 99%

“…Although various methods, such as Thiessen polygon for utilizing GIS function, have been developed, all of them are not based on market area theories. In that sense, Lee and Lee (2014) is worthy of notice because they developed a new method using hydrological analysis of GIS based on a famous market area theory, Christaller s central place theory. Lee and Lee s method does not require any customer information but only the location information of point features to measure the density of retail businesses.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we aim at improving the Lee and Lee s (2014) market area analysis method by using the L-index, which reflects the spatial distribution pattern of retail businesses. While Lee and Lee (2014) used total retail business data to find urban space structure, but we only use automobile related retail business data because we are not interested in urban space structure but market area structure of individual business.…”

Section: Introductionmentioning

confidence: 99%

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Application of the L-index to the Delineation of Market Areas of Retail Businesses

Lee¹,

Lee²

2014

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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As delineating market areas of retail businesses has become an interesting topic in marketing field, Lee and Lee recently suggested a noteworthy method, which applied the hydrological analysis of geographical information system (GIS), based on Christaller's central place theory. They used a digital elevation model (DEM) which inverted the kernel density of retail businesses, which was measured by using bandwidths of pre-determined 500, 1000 and 5000 m, respectively. In fact, their method is not a fully data-based approach in that they used pre-determined kernel bandwidths, however, this paper has been planned to improve Lee and Lee's method by using a kind of data-based approach of the L-index that describes clustering level of point feature distribution. The case study is implemented to automobile-related retail businesses in Seoul, Korea with selected Kernel bandwidths, 1211.5, 2120.2 and 7067.2 m from L-index analysis. Subsequently, the kernel density is measured, the density DEM is created by inverting it, and boundaries of market areas are extracted. Following the study, analysis results are summarized as follows. Firstly, the L-index can be a useful tool to complement the Lee and Lee's market area analysis method. At next, the kernel bandwidths, pre-determined by Lee and Lee, cannot be uniformly applied to all kinds of retail businesses. Lastly, the L-index method can be useful for analyzing the space structure of market areas of retail businesses, based on Christaller's central place theory. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Application of the L-index to the Delineation of Market Areas of Retail Businesses

Lee¹,

Lee²

2014

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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Retail Mobility Environments: A methodological framework for integrating retail activity and non-motorised accessibility in Zaragoza, Spain

Arranz-López

Soria-Lara

Escolano

et al. 2017

Journal of Transport Geography

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While adequate integration of land use and transport is seen as crucial for achieving sustainable outcomes, the reciprocal interconnection between retail activity and non-motorised accessibility is yet to be adequately examined. To address this gap, this paper proposes the concept of Retail Mobility Environment (RME) and develops a methodological process for identifying and mapping RMEs, using the city of Zaragoza, Spain, as a case study. The concept of RME is developed through three methodological phases: (i) definition of non-motorised Accessibility Zones (AZs), using three indicators (walking accessibility, bicycling accessibility, betweenness); (ii) definition of Retail Zones (RZs), also using three indicators (retail density, retail diversity, retail contiguity); and (iii) definition of RMEs, where both retail activity and non-motorised indicators were weighted and combined using multi-criteria analysis. In total, four RMEs were identified and mapped: short-distance environments, motorised environments , non-motorised environments, and long-distance environments. The paper concludes with a discussion on the need to unravel the relationships between retail activity and non-motorised accessibility, in order to reach sustainable planning goals, as well as the potential usefulness of RMEs for transport policy-making.

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Effects of spatial density on veterinarian income: where are all of the veterinarians?

et al. 2018

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Delimiting boundaries of market areas of central places using the density of retail facilities in an urban space

Cited by 4 publications

References 18 publications

Application of the L-index to the Delineation of Market Areas of Retail Businesses

Application of the L-index to the Delineation of Market Areas of Retail Businesses

Retail Mobility Environments: A methodological framework for integrating retail activity and non-motorised accessibility in Zaragoza, Spain

Effects of spatial density on veterinarian income: where are all of the veterinarians?

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