Food service spatial pattern after the emergence of online retail

Chairul Maulidi, Adenantera Dwicaksono, Adiwan Fahlan Aritenang, Haryo Winarso

Article ID: 3005
Vol 8, Issue 4, 2024

VIEWS - 433 (Abstract) 209 (PDF)

Abstract


Online shopping has eliminated the need to visit physical commercial centres. As a result, trips to these centres have shifted from primarily shopping-motives to leisure, companionship, and dining. The shifting in consumer behaviour is implicated in the growing spatial agglomeration of restaurants/cafes within commercial centres in European cities. Conversely, in southern cities, various casual restaurants/cafes also serve as leisure and companionship hubs. However, their spatial patterns are less explained. This article aims to elucidate the spatial pattern of these diverse restaurants/cafes in a typical southern city, Surabaya City. In this study, we employ the term ‘food services’ to encompass the various types of restaurants/cafes found in southern cities. We gather Points of Interest (POIs) data about food services via web scraping on Google Maps, then map out their spatial distribution across 116 spatial units of Surabaya City. Utilising k-means cluster analysis, we classify these 116 spatial units into six distinct clusters based on the composition of food service variants. Our findings show that City Centres and Sub-City Centres are locations for different types of restaurants/cafes. The City Centre is typically a location for fine dining restaurants and cafes, whereas Sub-City Centres are locations for fast casual dining and fast food restaurants. Cafes and fast food restaurants are centralised throughout downtown areas. Casual food service restaurants, such as casual style dining, coffee shops, and food stalls, are dispersed along business, residential zones, and periphery areas without intense domination of any specific variant.


Keywords


online shopping; restaurants; cafes; food services; spatial patterns

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References


AbuThahir, S. B. S., & Krishnapillai, G. (2018). How does the Ambience of Cafe Affect the Revisit Intention Among its Patrons? A S on the Cafes in Ipoh, Perak. MATEC Web of Conferences, 150, 05074. https://doi.org/10.1051/matecconf/201815005074

Aldo, A. L., Andreas, B., & Martin, L. (2023). Exploring the associations between E-shopping and the share of shopping trip frequency and travelled time over total daily travel demand. Travel Behaviour and Society, 31, 202–208. https://doi.org/10.1016/j.tbs.2022.11.007

Alizadeh, M. J., Shahheydari, H., Kavianpour, M. R., et al. (2017). Prediction of longitudinal dispersion coefficient in natural rivers using a cluster-based Bayesian network. Environmental Earth Sciences, 76(2). https://doi.org/10.1007/s12665-016-6379-6

Allahviranloo, M., & Baghestani, A. (2019). A dynamic crowdshipping model and daily travel behavior. Transportation Research Part E: Logistics and Transportation Review, 128, 175–190. https://doi.org/10.1016/j.tre.2019.06.002

Anas, A., Arnott, R., & Small, K. (1998). Urban Spatial Structure. Journal of Economic Literature, 36, 1426–1464.

Beckers, J., Weekx, S., Beutels, P., & Verhetsel, A. (2021). COVID-19 and retail: The catalyst for e-commerce in Belgium? Journal of Retailing and Consumer Services, 62, 102645. https://doi.org/10.1016/j.jretconser.2021.102645

Bjerkan, K. Y., Bjørgen, A., & Hjelkrem, O. A. (2020). E-commerce and prevalence of last mile practices. Transportation Research Procedia, 46, 293–300. https://doi.org/10.1016/j.trpro.2020.03.193

Bjørgen, A., Bjerkan, K. Y., & Hjelkrem, O. A. (2021). E-groceries: Sustainable last mile distribution in city planning. Research in Transportation Economics, 87, 100805. https://doi.org/10.1016/j.retrec.2019.100805

Cachinho, H. (2014). Consumerscapes and the resilience assessment of urban retail systems. Cities, 36, 131–144. https://doi.org/10.1016/j.cities.2012.10.005

Cahyani D. R. (2017). Riset Google: Warga Surabaya Paling Banyak Belanja Online. Tempo.Co.

Cárdenas, I., Beckers, J., & Vanelslander, T. (2017). E-commerce last-mile in Belgium: Developing an external cost delivery index. Research in Transportation Business & Management, 24, 123–129. https://doi.org/10.1016/j.rtbm.2017.07.006

Ceylan, R. F., Ozkan, B., & Mulazimogullari, E. (2020). Historical evidence for economic effects of COVID-19. The European Journal of Health Economics, 21(6), 817–823. https://doi.org/10.1007/s10198-020-01206-8

Che, J., Lee, J. S., & Kim, S. (2023). How has COVID-19 impacted the economic resilience of retail clusters?: Examining the difference between neighborhood-level and district-level retail clusters. Cities, 140, 104457. https://doi.org/10.1016/j.cities.2023.104457

Chen, Q., Guan, X., & Huan, T. C. (2021). The spatial agglomeration productivity premium of hotel and catering enterprises. Cities, 112, 103113. https://doi.org/10.1016/j.cities.2021.103113

Constantin, D. L., & Reveiu, A. (2018). A Spatial Analysis of Tourism Infrastructure in Romania: Spotlight on Accommodation and Food Service Companies. REGION, 5(1), 1–16. https://doi.org/10.18335/region.v5i1.111

Coutinho Guimarães, P. P. (2019). Shopping centres in decline: analysis of demalling in Lisbon. Cities, 87, 21–29. https://doi.org/10.1016/j.cities.2018.12.021

Das, K., Tamhane, T., Vetterrot, B., et al. (2018). The digital archipelago: How online commerce is driving Indonesia’s economic development.

Delage, M., Baudet-Michel, S., Fol, S., et al. (2020). Retail decline in France’s small and medium-sized cities over four decades. Evidences from a multi-level analysis. Cities, 104, 102790. https://doi.org/10.1016/j.cities.2020.102790

Dolega, L., Reynolds, J., Singleton, A., et al. (2019). Beyond retail: New ways of classifying UK shopping and consumption spaces. Environment and Planning B: Urban Analytics and City Science, 48(1), 132–150. https://doi.org/10.1177/2399808319840666

Ecker, Y., & Strüver, A. (2022). Towards alternative platform futures in post-pandemic cities? A case study on platformization and changing socio-spatial relations in on-demand food delivery. Digital Geography and Society, 3, 100032. https://doi.org/10.1016/j.diggeo.2022.100032

Edwards, J. S. A., & Causa, H. (2009). What is food service? Journal of Foodservice, 20(1), 1–3. Portico. https://doi.org/10.1111/j.1748-0159.2008.00122.x

Etminani-Ghasrodashti, R., & Hamidi, S. (2020). Online shopping as a substitute or complement to in-store shopping trips in Iran? Cities, 103, 102768. https://doi.org/10.1016/j.cities.2020.102768

Gavilan, D., Balderas-Cejudo, A., Fernández-Lores, S., et al. (2021). Innovation in online food delivery: Learnings from COVID-19. International Journal of Gastronomy and Food Science, 24, 100330. https://doi.org/10.1016/j.ijgfs.2021.100330

Gobiz. (2020). Growing 20%, Here are the Culinary Business Trends in Surabaya (Indonesian). Gobiz.Co.Id.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis, 7th ed. Prentice Hall.

Hallsworth, A. G., & Coca-Stefaniak, J. A. (2018). National high street retail and town centre policy at a cross roads in England and Wales. Cities, 79, 134–140. https://doi.org/10.1016/j.cities.2018.03.002

Hanaysha, J. (2016). Restaurant Location and Price Fairness as Key Determinants of Brand Equity: A Study on Fast Food Restaurant Industry. Business and Economic Research, 6(1), 310. https://doi.org/10.5296/ber.v6i1.9352

Handinoto. (2010). Architecture and Cities in Colonial Java (Indonesian). Graha Ilmu.

Hein, A., Schreieck, M., Riasanow, T., et al. (2019). Digital platform ecosystems. Electronic Markets, 30(1), 87–98. https://doi.org/10.1007/s12525-019-00377-4

Henderson, J. C. (2016). Foodservice in Singapore: Retaining a place for hawkers? Journal of Foodservice Business Research, 19(3), 272–286. https://doi.org/10.1080/15378020.2016.1175900

Hood, N., Urquhart, R., Newing, A., & Heppenstall, A. (2020). Sociodemographic and spatial disaggregation of e-commerce channel use in the grocery market in Great Britain. Journal of Retailing and Consumer Services, 55, 102076. https://doi.org/10.1016/j.jretconser.2020.102076

Hwang, J., & Ok, C. (2013). The antecedents and consequence of consumer attitudes toward restaurant brands: A comparative study between casual and fine dining restaurants. International Journal of Hospitality Management, 32, 121–131. https://doi.org/10.1016/j.ijhm.2012.05.002

Jones, C. (2021). Reframing the intra-urban retail hierarchy. Cities, 109, 103037. https://doi.org/10.1016/j.cities.2020.103037

Jones, C., & Livingstone, N. (2017). The ‘online high street’ or the high street online? The implications for the urban retail hierarchy. The International Review of Retail, Distribution and Consumer Research, 28(1), 47–63. https://doi.org/10.1080/09593969.2017.1393441

Kasali, R. (2018). The Great Shifting.

Kassambra, A., & Mundt, F. (2020). Factoextra: Extract and Visualise the Results of Multivariate Data Analyses. Available online: https://CRAN.R-project.org/package=factoextra (accessed on 9 January 2023).

Kitchin, R. (2013). The real-time city? Big data and smart urbanism. GeoJournal, 79(1), 1–14. https://doi.org/10.1007/s10708-013-9516-8

Krehl, A., Siedentop, S., Taubenböck, H., et al. (2016). A Comprehensive View on Urban Spatial Structure: Urban Density Patterns of German City Regions. ISPRS International Journal of Geo-Information, 5(6), 76. https://doi.org/10.3390/ijgi5060076

Le, H. T. K., Carrel, A. L., & Shah, H. (2021). Impacts of online shopping on travel demand: a systematic review. Transport Reviews, 42(3), 273–295. https://doi.org/10.1080/01441647.2021.1961917

Lee, R. J., Sener, I. N., Mokhtarian, P. L., et al. (2017). Relationships between the online and in-store shopping frequency of Davis, California residents. Transportation Research Part A: Policy and Practice, 100, 40–52. https://doi.org/10.1016/j.tra.2017.03.001

Line, N. D., & Hanks, L. (2020). A holistic model of the servicescape in fast casual dining. International Journal of Contemporary Hospitality Management, 32(1), 288–306. https://doi.org/10.1108/ijchm-04-2019-0360

Nahiduzzaman, K. M., Aldosary, A. S., & Mohammed, I. (2019). Framework Analysis of E-Commerce Induced Shift in the Spatial Structure of a City. Journal of Urban Planning and Development, 145(3). https://doi.org/10.1061/(asce)up.1943-5444.0000512

Parsa, H. G., Self, J. T., Njite, D., et al. (2005). Why Restaurants Fail. Cornell Hotel and Restaurant Administration Quarterly, 46(3), 304–322. https://doi.org/10.1177/0010880405275598

Pelzer, P., Frenken, K., & Boon, W. (2019). Institutional entrepreneurship in the platform economy: How Uber tried (and failed) to change the Dutch taxi law. Environmental Innovation and Societal Transitions, 33, 1–12. https://doi.org/10.1016/j.eist.2019.02.003

Rahman, D. F. (2022). Mall Kiosk Tenants in Surabaya Predicted to Increase in 2022 (Indonesian). Databoks. Katadata. Co. Id.

Recio, R. B., & Gomez, J. E. A. (2013). Street Vendors, their Contested Spaces, and the Policy Environment: A View from Caloócan, Metro Manila. Environment and Urbanization ASIA, 4(1), 173–190. https://doi.org/10.1177/0975425313477760

Ricklefs, M. C., Lockhart, B., Lau, A., et al. (2013). History of Southeast Asia from Prehistory to Contemporary Times (Indonesian). Komunitas Bambu.

Rodrigue, J. P. (2020). The Geography of Transport Systems. Routledge. https://doi.org/10.4324/9780429346323

Seol, H. (2023). SnowCluster: Multivariate Analysis (Version 7.1.7). jamovi module.

Sevtsuk, A. (2014). Location and Agglomeration. Journal of Planning Education and Research, 34(4), 374–393. https://doi.org/10.1177/0739456x14550401

Shao, R., Derudder, B., & Witlox, F. (2022). The geography of e-shopping in China: On the role of physical and virtual accessibility. Journal of Retailing and Consumer Services, 64, 102753. https://doi.org/10.1016/j.jretconser.2021.102753

Silas, J. (2002). Toll roads and the development of new settlements; The case of Surabaya compared to Jakarta. Bijdragen Tot de Taal-, Land- En Volkenkunde / Journal of the Humanities and Social Sciences of Southeast Asia, 158(4), 677–689. https://doi.org/10.1163/22134379-90003761

Singleton, A. D., Dolega, L., Riddlesden, D., et al. (2016). Measuring the spatial vulnerability of retail centres to online consumption through a framework of e-resilience. Geoforum, 69, 5–18. https://doi.org/10.1016/j.geoforum.2015.11.013

Stehlin, J., Hodson, M., & McMeekin, A. (2020). Platform mobilities and the production of urban space: Toward a typology of platformization trajectories. Environment and Planning A: Economy and Space, 52(7), 1250–1268. https://doi.org/10.1177/0308518x19896801

Supranto, J. (2010). Multivariat Analysis, Meaning and Interpretation (Indonesian). Penerbit Rineka CIpta.

Talamini, G., Li, W., & Li, X. (2022). From brick-and-mortar to location-less restaurant: The spatial fixing of on-demand food delivery platformization. Cities, 128, 103820. https://doi.org/10.1016/j.cities.2022.103820

Telgarsky, M., & Vattani, A. (2010). Hartigan’s Method: K-means Clustering without Voronoi. In: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics. pp. 820–827.

Thornton, L. E., Lamb, K. E., & Ball, K. (2016). Fast food restaurant locations according to socioeconomic disadvantage, urban–regional locality, and schools within Victoria, Australia. SSM - Population Health, 2, 1–9. https://doi.org/10.1016/j.ssmph.2015.12.001

Tran, L. T. T. (2021). Managing the effectiveness of e-commerce platforms in a pandemic. Journal of Retailing and Consumer Services, 58, 102287. https://doi.org/10.1016/j.jretconser.2020.102287

Widaningrum, D. L., Surjandari, I., & Sudiana, D. (2020). Discovering spatial patterns of fast-food restaurants in Jakarta, Indonesia. Journal of Industrial and Production Engineering, 37(8), 403–421. https://doi.org/10.1080/21681015.2020.1823495

Yuana, S. L., Sengers, F., Boon, W., et al. (2019). Framing the sharing economy: A media analysis of ridesharing platforms in Indonesia and the Philippines. Journal of Cleaner Production, 212, 1154–1165. https://doi.org/10.1016/j.jclepro.2018.12.073

Zhang, Y., Li, X., Jiang, Q., et al. (2022). Quantify the Spatial Association between the Distribution of Catering Business and Urban Spaces in London Using Catering POI Data and Image Segmentation. Atmosphere, 13(12), 2128. https://doi.org/10.3390/atmos13122128

Zhong, C., Schläpfer, M., Müller Arisona, S., et al. (2016). Revealing centrality in the spatial structure of cities from human activity patterns. Urban Studies, 54(2), 437–455. https://doi.org/10.1177/0042098015601599

Zhou, Y., Shen, X., Wang, C., et al. (2022). Mining the Spatial Distribution Pattern of the Typical Fast-Food Industry Based on Point-of-Interest Data: The Case Study of Hangzhou, China. ISPRS International Journal of Geo-Information, 11(11), 559. https://doi.org/10.3390/ijgi11110559




DOI: https://doi.org/10.24294/jipd.v8i4.3005

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