IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v101y2021ics0264837720325527.html
   My bibliography  Save this article

Novel trends in SNS customers in food and beverage patronage: An empirical study of metropolitan cities in South Korea

Author

Listed:
  • Kim, Daehwan
  • Seo, Ducksu
  • Kwon, Youngsang

Abstract

Driven by the development of information and communications technology as well as the spread of social networking services (SNS), access to spatial information has changed the way people select sites or areas. This study determines whether new urban place selection—that is, the selection of places in a way that differs from the classic locational principle of land use—occurs via SNS by examining changes in the location of Food and Beverage(F&B) retail facilities patronized by citizens daily. More specifically, this study employs spatial and quantitative analyses to investigate location selection of F&B customers, which respond most sensitively to place selection, in six metropolitan cities in South Korea. The results show phenomena indicating that the place selection pattern via SNS was different spatially and quantitatively from that via the established retail location principle. The location of F&B retail facilities most commonly selected via SNS is largely shaped by small-scale and hierarchically lower roads near existing commercial area and is unaffected by land price and distance from public transportation. These findings sufficiently contradict the general location principle in terms of the location characteristics of F&B retail facilities. As such, this study reveals a novel behavior pattern regarding place selection based on SNS. F&B retail facilities should be prepared to adapt to changing consumer behavior. Moreover, this fact indicates that the consideration of gradual changes in the selection of urban project sites, development of land use plans, and calculation of rent for retail is needed in light of advancements in SNS.

Suggested Citation

  • Kim, Daehwan & Seo, Ducksu & Kwon, Youngsang, 2021. "Novel trends in SNS customers in food and beverage patronage: An empirical study of metropolitan cities in South Korea," Land Use Policy, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:lauspo:v:101:y:2021:i:c:s0264837720325527
    DOI: 10.1016/j.landusepol.2020.105214
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837720325527
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2020.105214?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ma, Jun & Cheng, Jack C.P. & Jiang, Feifeng & Chen, Weiwei & Zhang, Jingcheng, 2020. "Analyzing driving factors of land values in urban scale based on big data and non-linear machine learning techniques," Land Use Policy, Elsevier, vol. 94(C).
    2. Bresciani, Stefano & Ferraris, Alberto & Del Giudice, Manlio, 2018. "The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 331-338.
    3. Miguel Aguilera, 2018. "Rhythms of the Collective Brain: Metastable Synchronization and Cross-Scale Interactions in Connected Multitudes," Complexity, Hindawi, vol. 2018, pages 1-9, March.
    4. Wegmann, Jake & Jiao, Junfeng, 2017. "Taming Airbnb: Toward guiding principles for local regulation of urban vacation rentals based on empirical results from five US cities," Land Use Policy, Elsevier, vol. 69(C), pages 494-501.
    5. Weibull, Jorgen W., 1976. "An axiomatic approach to the measurement of accessibility," Regional Science and Urban Economics, Elsevier, vol. 6(4), pages 357-379, December.
    6. Luis Encalada & Inês Boavida-Portugal & Carlos Cardoso Ferreira & Jorge Rocha, 2017. "Identifying Tourist Places of Interest Based on Digital Imprints: Towards a Sustainable Smart City," Sustainability, MDPI, vol. 9(12), pages 1-19, December.
    7. David L. Huff, 1963. "A Probabilistic Analysis of Shopping Center Trade Areas," Land Economics, University of Wisconsin Press, vol. 39(1), pages 81-90.
    8. Bernd Resch & Anja Summa & Peter Zeile & Michael Strube, 2016. "Citizen-Centric Urban Planning through Extracting Emotion Information from Twitter in an Interdisciplinary Space-Time-Linguistics Algorithm," Urban Planning, Cogitatio Press, vol. 1(2), pages 114-127.
    9. Wang, Jiaoe & Jin, Fengjun & Mo, Huihui & Wang, Fahui, 2009. "Spatiotemporal evolution of China's railway network in the 20th century: An accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(8), pages 765-778, October.
    10. Liu, Yilun & Zhu, A-Xing & Wang, Jingli & Li, Wenkai & Hu, Guohua & Hu, Yueming, 2019. "Land-use decision support in brownfield redevelopment for urban renewal based on crowdsourced data and a presence-and-background learning (PBL) method," Land Use Policy, Elsevier, vol. 88(C).
    11. Bo Liu & Quan Yuan & Gao Cong & Dong Xu, 2014. "Where your photo is taken: Geolocation prediction for social images," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(6), pages 1232-1243, June.
    12. Cervero, Robert & Kang, Chang Deok, 2011. "Bus rapid transit impacts on land uses and land values in Seoul, Korea," Transport Policy, Elsevier, vol. 18(1), pages 102-116, January.
    13. Jacob Wood & Woocheol Kim & Gohar Feroz Khan, 2016. "Work engagement in organizations: a social network analysis of the domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 317-336, October.
    14. Higinio Mora & Raquel Pérez-delHoyo & José F. Paredes-Pérez & Rafael A. Mollá-Sirvent, 2018. "Analysis of Social Networking Service Data for Smart Urban Planning," Sustainability, MDPI, vol. 10(12), pages 1-19, December.
    15. Nilsson, Isabelle M. & Smirnov, Oleg A., 2016. "Measuring the effect of transportation infrastructure on retail firm co-location patterns," Journal of Transport Geography, Elsevier, vol. 51(C), pages 110-118.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Saebae Ryu & Saehim Kim & Mi-Jeong Cho & Myeong-Hun Lee, 2022. "Defining the “Hip Factor”: Analysis of Location Properties, SNS Usage, and Other “Hip-Place” Characteristics That Influence Visitor Satisfaction," Sustainability, MDPI, vol. 14(10), pages 1-13, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Higinio Mora & Raquel Pérez-delHoyo & José F. Paredes-Pérez & Rafael A. Mollá-Sirvent, 2018. "Analysis of Social Networking Service Data for Smart Urban Planning," Sustainability, MDPI, vol. 10(12), pages 1-19, December.
    2. Raquel Pérez‐delHoyo & Higinio Mora & José Manuel Nolasco‐Vidal & Rubén Abad‐Ortiz & Rafael A. Mollá‐Sirvent, 2021. "Addressing new challenges in smart urban planning using Information and Communication Technologies," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(3), pages 342-354, May.
    3. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    4. Paul Cheshire & Christian Hilber & Piero Montebruno & Rosa Sanchis-Guarner, 2018. "Take Me to the Centre of Your Town! Using Micro-geographical Data to Identify Town Centres," CESifo Economic Studies, CESifo Group, vol. 64(2), pages 255-291.
    5. Sohyun Park & Keumsook Lee, 2021. "Examining the Impact of E-Commerce Growth on the Spatial Distribution of Fashion and Beauty Stores in Seoul," Sustainability, MDPI, vol. 13(9), pages 1-20, May.
    6. Chen, Shaopei & Claramunt, Christophe & Ray, Cyril, 2014. "A spatio-temporal modelling approach for the study of the connectivity and accessibility of the Guangzhou metropolitan network," Journal of Transport Geography, Elsevier, vol. 36(C), pages 12-23.
    7. Ahmad Adeel & Bruno Notteboom & Ansar Yasar & Kris Scheerlinck & Jeroen Stevens, 2021. "Insights into the Impacts of Mega Transport Infrastructures on the Transformation of Urban Fabric: Case of BRT Lahore," Sustainability, MDPI, vol. 13(13), pages 1-32, July.
    8. Pasha, Obed & Wyczalkowski, Chris & Sohrabian, Dro & Lendel, Iryna, 2020. "Transit effects on poverty, employment, and rent in Cuyahoga County, Ohio," Transport Policy, Elsevier, vol. 88(C), pages 33-41.
    9. Mohíno, Inmaculada & Ureña, José M. & Solís, Eloy, 2016. "Transport infrastructure and territorial cohesion in rural metro-adjacent regions: A multimodal accessibility approach. The case of Castilla-La Mancha in the context of Madrid (Spain)," Journal of Transport Geography, Elsevier, vol. 57(C), pages 115-133.
    10. Bruno Bruna & Faggini Marisa, 2020. "Sharing Competition: An Agent-Based Model for the Short-Term Accommodations Market," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 20(2), pages 1-13, April.
    11. Ahmad Adeel & Bruno Notteboom & Ansar Yasar & Kris Scheerlinck & Jeroen Stevens, 2021. "Sustainable Streetscape and Built Environment Designs around BRT Stations: A Stated Choice Experiment Using 3D Visualizations," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    12. Shan, Wei & Qiao, Tong & Zhang, Mingli, 2020. "Getting more resources for better performance: The effect of user-owned resources on the value of user-generated content," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    13. Guerra, Erick & Cervero, Robert & Tischler, Daniel, 2011. "The Half-Mile Circle: Does It Represent Transit Station Catchments?," University of California Transportation Center, Working Papers qt0d84c2f4, University of California Transportation Center.
    14. Yong Gao & Yuanyuan Chen & Lan Mu & Shize Gong & Pengcheng Zhang & Yu Liu, 2022. "Measuring urban sentiments from social media data: a dual-polarity metric approach," Journal of Geographical Systems, Springer, vol. 24(2), pages 199-221, April.
    15. Christopher F Baum & Hans Lööf & Pardis Nabavi, 2019. "Innovation strategies, external knowledge and productivity growth," Industry and Innovation, Taylor & Francis Journals, vol. 26(3), pages 348-367, March.
    16. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun & Dunford, Michael, 2014. "Impacts on accessibility of China’s present and future HSR network," Journal of Transport Geography, Elsevier, vol. 40(C), pages 123-132.
    17. Dong, Xiaojing & Ben-Akiva, Moshe E. & Bowman, John L. & Walker, Joan L., 2006. "Moving from trip-based to activity-based measures of accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 163-180, February.
    18. Hong, Liu & Ye, Bowen & Yan, Han & Zhang, Hui & Ouyang, Min & (Sean) He, Xiaozheng, 2019. "Spatiotemporal vulnerability analysis of railway systems with heterogeneous train flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 725-744.
    19. Wieland, Thomas, 2015. "Nahversorgung im Kontext raumökonomischer Entwicklungen im Lebensmitteleinzelhandel: Konzeption und Durchführung einer GIS-gestützten Analyse der Strukturen des Lebensmitteleinzelhandels und der Nahve," MPRA Paper 77145, University Library of Munich, Germany.
    20. Qing Shen & Simin Xu & Jiang Lin, 2018. "Effects of bus transit-oriented development (BTOD) on single-family property value in Seattle metropolitan area," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 2960-2979, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:lauspo:v:101:y:2021:i:c:s0264837720325527. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.