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New Resources For Smart Food Retail Mapping. A Gis And The Open Source Perspective

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Abstract

In this paper it is demonstrated that open-source GIS software may contribute to allow nonprofit organizations and local food retailers to strategically locate food shops. This impacts realtors and other businesses as well. Areas are covered and clients served avoiding food deserts and increasing security in the health sector (Barnes et al., 2016). The methodology demonstrates how mapping may be processed, allowing people to get a good understanding of the food distribution. Also, decision making at corporate level improves due to better connecting to local production and organic retailers and to better reach out to local consumption. A major consequence of this exercise is likewise to educate users on the negative impacts of food deserts on health and improve awareness supporting the design and integration of sustainable and healthy lifestyles (Vaz and Zhao, 2016). This novel proposal that combines spatial and locational data visualization (McIver, 2003), as well as sharing of information of healthy food retailers within the urban nexus (Morgan and Sonnino, 2010) engage communities actively to participate in the integration of new consumer behaviours and make them clearly expressed.

Suggested Citation

  • Vaz, Eric & Khaper, Monica, 2016. "New Resources For Smart Food Retail Mapping. A Gis And The Open Source Perspective," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 4(4), pages 305-313.
  • Handle: RePEc:ris:jspord:0924
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    1. Per Pinstrup-Andersen, 2009. "Food security: definition and measurement," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(1), pages 5-7, February.
    2. Margaret W. Pettygrove & Rina Ghose, 2016. "Community-Engaged GIS for Urban Food Justice Research," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 7(1), pages 16-29, January.
    3. Jeffrey A. Roberts & Il-Horn Hann & Sandra A. Slaughter, 2006. "Understanding the Motivations, Participation, and Performance of Open Source Software Developers: A Longitudinal Study of the Apache Projects," Management Science, INFORMS, vol. 52(7), pages 984-999, July.
    4. Twiss, J. & Dickinson, J. & Duma, S. & Kleinman, T. & Paulsen, H. & Rilveria, L., 2003. "Community Gardens: Lessons Learned from California Healthy Cities and Communities," American Journal of Public Health, American Public Health Association, vol. 93(9), pages 1435-1438.
    5. Kevin Morgan & Roberta Sonnino, 2010. "The urban foodscape: world cities and the new food equation," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 3(2), pages 209-224.
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    1. Vaz, Eric & Tehranchi, Sina & Cusimano, Michael, 2017. "Spatial Assessment of Road Traffic Injuries in the Greater Toronto Area (GTA): Spatial Analysis Framework," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 5(1), pages 37-55.

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    More about this item

    Keywords

    GIS Open Source; Food Retail; Smart Food;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • R58 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Regional Development Planning and Policy

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