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Microgeography of Restaurants: Sub-City Analysis of Restaurant Location and Colocation Using Swedish Geo-Coded Data

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Regional Science Perspectives on Tourism and Hospitality

Part of the book series: Advances in Spatial Science ((ADVSPATIAL))

Abstract

In this chapter, we characterize the broad patterns in restaurant location across the urban areas of Sweden for the year 2015. Using geo-coded data on the neighbourhood level, we analyse the availability of restaurants at two different neighbourhood aggregations with respect to potential demand, local competition, complementing shopping opportunities, and other characteristics of the urban landscape through a probabilistic empirical framework. We hold constant key characteristics of the urban regions and identify our parameters by exploiting within-region variation at the level of neighbourhoods. Our analysis indicates some but limited strategic complementarities between retail and consumer service branches and restaurants. Any significant probability of finding a restaurant in the neighbourhood with respect to the presence of a service establishment attenuates with distance or entirely dissipates, indicating a highly localized spatial dependence. Employment and population density matter significantly, and their importance extends beyond the very immediate neighbourhood.

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Notes

  1. 1.

    An urban area has contiguous buildings with no more than 200 m between houses and at least 200 residents. Source: Statistics Sweden (https://www.scb.se/en/finding-statistics/statistics-by-subject-area/environment/land-use/localities-and-urban-areas/).

  2. 2.

    Given that they are statistically significantly different from each other.

  3. 3.

    Size and location of hotels and other forms of accommodation is excessively variable across the Swedish cities, e.g. some significant number of hotels are located at the periphery of cities and rural places, with population density below the treshold of a tätort, which means the data is not available at 250 by 250 m aggregation.

  4. 4.

    Bivariate correlations can also be found in the appendix at the the two different spatial aggregation.

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Author information

Authors and Affiliations

  1. Department of Land Economy, University of Cambridge, Cambridge, UK

    Özge Öner & Johan P. Larsson

  2. Institutet för Näringslivsforskning (Research Institute of Industrial Economics), Stockholm, Sweden

    Özge Öner

  3. Centre for Entrepreneurship and Spatial Economics, Jönköping International Business School, Jönköping, Sweden

    Özge Öner

  4. Swedish Entrepreneurship Forum, Stockholm, Sweden

    Johan P. Larsson

  5. Jönköping International Business School, Jönköping, Sweden

    Johan P. Larsson

Authors
  1. Özge Öner
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  2. Johan P. Larsson
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Correspondence to Özge Öner .

Editor information

Editors and Affiliations

  1. University of Palermo, Palermo, Italy

    Mauro Ferrante

  2. WIFO—Austrian Institute of Economic Research, Wien, Austria

    Oliver Fritz

  3. University of Cambridge, Cambridge, UK

    Özge Öner

Appendix

Appendix

Tables 4 and 5

Table 4 Bivariatie correlations, 250 by 250 m2
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Table 5 Bivariatie correlations, 1 by 1 km2
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Öner, Ö., Larsson, J.P. (2021). Microgeography of Restaurants: Sub-City Analysis of Restaurant Location and Colocation Using Swedish Geo-Coded Data. In: Ferrante, M., Fritz, O., Öner, Ö. (eds) Regional Science Perspectives on Tourism and Hospitality. Advances in Spatial Science. Springer, Cham. https://doi.org/10.1007/978-3-030-61274-0_3

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