Accessibility analysis and spatial competition effects in the context of GIS-supported service location planning

Eck, J.R. Ritsema van; Jong, Tom de

doi:10.1016/s0198-9715(99)00016-2

Cited by 68 publications

(21 citation statements)

References 3 publications

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“…Patients' spatial choices are dependent on the distance between them [19]. An ideal way to assess patients' spatial choice behavior is to measure patient-to-hospital flows, which can be obtained from survey data.…”

Section: Hospital Service Area and Patient Spatial Distribution Patternmentioning

confidence: 99%

“…Another reason may be that high-level hospitals are densely distributed in these areas, which attract a large number of people seeking medical services. choices are dependent on the distance between them [19]. An ideal way to assess patients' spatial choice behavior is to measure patient-to-hospital flows, which can be obtained from survey data.…”

Section: Hospital Service Area and Patient Spatial Distribution Patternmentioning

confidence: 99%

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Investigating Public Facility Characteristics from a Spatial Interaction Perspective: A Case Study of Beijing Hospitals Using Taxi Data

Kong

Liu

Wang

et al. 2017

IJGI

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Abstract:Services provided by public facilities are essential to people's lives and are closely associated with human mobility. Traditionally, public facility access characteristics, such as accessibility, equity issues and service areas, are investigated mainly based on static data (census data, travel surveys and particular records, such as medical records). Currently, the advent of big data offers an unprecedented opportunity to obtain large-scale human mobility data, which can be used to study the characteristics of public facilities from the spatial interaction perspective. Intuitively, spatial interaction characteristics and service areas of different types and sizes of public facilities are different, but how different remains an open question, so we, in turn, examine this question. Based on spatial interaction, we classify public facilities and explore the differences in facilities. In the research, based on spatial interaction extracted from taxi data, we introduce an unsupervised classification method to classify 78 hospitals in 6 districts of Beijing, and the results better reflect the type of hospital. The findings are of great significance for optimizing the spatial configuration of medical facilities or other types of public facilities, allocating public resources reasonably and relieving traffic pressure.

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Section: Hospital Service Area and Patient Spatial Distribution Patternmentioning

confidence: 99%

Section: Hospital Service Area and Patient Spatial Distribution Patternmentioning

confidence: 99%

Investigating Public Facility Characteristics from a Spatial Interaction Perspective: A Case Study of Beijing Hospitals Using Taxi Data

Kong

Liu

Wang

et al. 2017

IJGI

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Section: Uvodunclassified

“…U literaturi se uglavnom analiziraju mogućnosti primjene GIS-a unutar maloprodajne industrije (Van Eck, De Jong, 1999.; Badea i dr., 2008.;Mishra, 2009.). Analize tržišnog natjecanja i prostorne distribucije trgovina spadaju u najčešće korištene analize unutar znanstvene discipline geomarketinga (Van Eck, De Jong, 1999.;Dramowicz, 2005.; Suárez-Vega i dr., 2011.; Roig-Tierno i dr., 2013.). Geomarketing se može definirati kao znanstvena disciplina čiji je objekt proučavanja tržište i njegove dinamične sastavnice, a temelji se na integraciji informacijsko-komunikacijskih tehnologija, marketinških strategija i znanja te geografskog poimanja prostora (Sl.…”

Section: Uvodunclassified

“…The application of GIS within the retail industry is what is mostly analysed in the available literature (Van Eck, De Jong, 1999;Badea et al, 2008;Mishra, 2009). The analyses of market competition and spatial distribution of shops are the most commonly used analyses within the scientific discipline of geomarketing (Van Eck, De Jong, 1999;Dramowicz, 2005;Suárez-Vega, et al, 2011;Roig-Tierno et al, 2013). Geomarketing can be defined as a scientific discipline whose object of research is the market and its dynamic components, and is based on an integration of informational-communication technologies, marketing strategies and geographic understanding of space (Fig.…”

Section: Introductionmentioning

confidence: 99%

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Application of Huff model in analysing market competition – example of shopping centres in the settlement of Zadar

Marić

Šiljeg

2017

Geoadria

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Izvorni znanstveni rad Original scientific paperPredmet istraživanja rada je tržišno natjecanje između trgovačkih centara u naselju Zadru. Osnovu istraživanja čine prostorni podatci prikupljeni različitim metodama i tehnikama, analizirani primjenom alata geografskoinformacijskog sustava (GIS) uz uvažavanje specifičnih tržišnih zakona. Prema kategorizaciji trgovačkih centara, definirano je šire tržišno područje unutar kojeg je analizirano tržišno natjecanje između trgovačkih centara. Izvođenjem demografskog rastera definirana je gustoća potencijalnih kupaca unutar širega tržišnog područja. Analiza natjecanja uključivala je određivanje tržišnih zona trgovačkih centara, pojavu potencijalnoga tržišnog kanibalizma te definiranje dominantnog centra prema varijabli vjerojatnosti odabira. Tržišne zone određene su na temelju atributa vremena vožnje (min). Metodama terenskog istraživanja, izračunom nelinearne udaljenosti te analizom gustoće trgovačkih centara zaključeno je da se između centara javlja tržišni kanibalizam. U svrhu predviđanja tržišne dominacije, primjenom Huffova modela, izračunate su srednje vrijednosti odabira centara unutar zona preklapanja i širega tržišnog područja. Rezultati Huffova modela potvrđuju tržišnu stvarnost, odnosno da veći broj kupaca unutar zona preklapanja i širega tržišnog područja odabire atraktivniji trgovački centar. Preklapanjem demografskog rastera i Huffova modela kvantificirana je razlika u broju ljudi koji posjećuju atraktivniji trgovački centar.Ključne riječi: Huffov model, tržišni kanibalizam, tržišne zone, indeks atraktivnostiThe object of the research is market competition between the shopping centres in the settlement of Zadar. The research is based on the spatial data collected by using various methods and techniques, which were analysed by applying the tools of geographic information system (GIS) with respect to specific laws of market economy. A categorization of shopping centres was made in order to define a broad trade area where the competition between the centres was analysed. A demographic raster was used to define the density of potential consumers within a broad market area. The competition analysis included the determination of the centres' market zones, the occurrence of potential market cannibalism and the definition of the dominant shopping centre according to a variable of choice probability. The market zones were determined based on the attribute of duration of drive (min). On-site research, calculation of non-linear distance and the analysis of shopping centres' density, led to a conclusion that market cannibalism occurs between the centres. For the purpose of predicting market dominance, Huff model was used to calculate average values of preference of centres within the zones of overlapping and the broad trade area. The results of Huff model confirm the market reality that a larger number of consumers within the zones of overlapping and the broad trade area prefer a more attractive shopping centre. The difference in number of people that visit a more attrac...

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Definitions, Concepts and Geospatial Dimensions of Security

Burnley

Stéphenne

Buda

et al. 2009

Remote Sensing From Space

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Accessibility analysis and spatial competition effects in the context of GIS-supported service location planning

Cited by 68 publications

References 3 publications

Investigating Public Facility Characteristics from a Spatial Interaction Perspective: A Case Study of Beijing Hospitals Using Taxi Data

Investigating Public Facility Characteristics from a Spatial Interaction Perspective: A Case Study of Beijing Hospitals Using Taxi Data

Application of Huff model in analysing market competition – example of shopping centres in the settlement of Zadar

Definitions, Concepts and Geospatial Dimensions of Security

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