Urban delivery, the Covid-19 pandemic and changes in land use: evidence of the territorial dynamics of the non-residential real estate sector in Belo Horizonte

Authors

DOI:

https://doi.org/10.58922/transportes.v31i1.2821

Keywords:

Urban delivery, Land use, Non-residential real estate transactions, Transportation planning

Abstract

In addition to the observed impacts on urban mobility, urban deliveries have changed the territorial dynamics of the non-residential real estate sector. This paper analyses land-use changes in the non-residential real estate sector caused by urban deliveries in 2020, in the context of the COVID-19 pandemic in Belo Horizonte. Therefore, we used a spatial-temporal approach based on Local Indicators of Spatial Association and the estimation of a geographically weighted regression model. The results showed the decentralization of new businesses occurred and that there is an inverse relationship between traditional retail deliveries and online retail deliveries concerning the location of new businesses. Furthermore, the results indicated a change in the territorial dynamics of the non-residential real estate sector, encouraged by urban deliveries. Thus, the master plans must consider urban deliveries as a driving component in urban and transport planning.

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References

Aljohani, K. and R.G. Thompson (2020) A multi-criteria spatial evaluation framework to optimise the siting of freight consolidation facilities in inner-city areas. Transportation Research Part A, Policy and Practice, v. 138, p. 51-69. DOI: 10.1016/j.tra.2020.05.020. DOI: https://doi.org/10.1016/j.tra.2020.05.020

Anselin, L. (1995) Local Indicators of Spatial Association—LISA. Geographical Analysis, v. 27, n. 2, p. 93-115. DOI: 10.1111/j.1538-4632.1995.tb00338.x. DOI: https://doi.org/10.1111/j.1538-4632.1995.tb00338.x

Anselin, L. (2022) Local Spatial Autocorrelation (3) - GeoDa: An Introduction to Spatial Data Science. Available at: <https://geodacenter.github.io/workbook/6c_local_multi/lab6c.html> (accessed 03/11/2023).

Anselin, L.; I. Syabri and Y. Kho (2006) GeoDa. An Introduction to Spatial Data Analysis., v. 38, n. 1, p. 5-22. Belo Horizonte (2022a) Prefeitura de Belo Horizonte: Coronavírus. Available at: https://prefeitura.pbh.gov.br/saude/coronavirus (accessed 03/11/2023). DOI: https://doi.org/10.1111/j.0016-7363.2005.00671.x

Belo Horizonte (2022b) Prefeitura de Belo Horizonte: ITBI. Available at: (accessed 03/11/2023).

BH Map (2022). Available at: <http://bhmap.pbh.gov.br/v2/mapa/idebhgeo> (accessed 03/11/2023).

Bivand, R. (2022) spgwr: Geographically Weighted Regression. Available at: <https://CRAN.Rproject.org/package=spgwr> (accessed 03/11/2023).

Burt, S. and L. Sparks (2003) E-commerce and the retail process: a review. Journal of Retailing and Consumer Services, v. 10, n. 5, p. 275-86. DOI: 10.1016/S0969-6989(02)00062-0. DOI: https://doi.org/10.1016/S0969-6989(02)00062-0

Carson, S.; A. Nanda; S. Thanos et al. (2021) Imagining a post-COVID-19 world of real estate. The Town Planning Review, v. 92, n. 3, p. 371-6. DOI: 10.3828/tpr.2020.63. DOI: https://doi.org/10.3828/tpr.2020.63

Chernick, H.; D. Copeland and A. Reschovsky (2020) The fiscal effects of the covid-19 pandemic on cities: an initial assessment. National Tax Journal, v. 73, n. 3, p. 699-732. DOI: 10.17310/ntj.2020.3.04. DOI: https://doi.org/10.17310/ntj.2020.3.04

E-bit (2022) 45th Edition Webshoppers. Available at: <https://company.ebit.com.br/webshoppers/webshoppersfree> (accessed 03/11/2023).

Filardi, F.; T.C. Schmitz and D.D.C. Leal (2020) Teleworking pre, during, and post-pandemic: organizational adherence and professionals preferences in times of COVID-19. In XLIV Encontro da ANPAD. Available at: <http://www.anpad.org.br/abrir_pdf.php?e=Mjg1MDQ=> (accessed 03/11/2023).

Fortheringham, A.S.; C. Brunsdon and M. Charlton (2002) Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Chichester: Willey. Available at: <https://www.wiley.com/enus/Geographically+Weighted+Regression%3A+The+Analysis+of+Spatially+Varying+Relationships+-9780471496168> (accessed 03/11/2023).

Giuliano, G.; S. Kang and Q. Yuan (2018) Using proxies to describe the metropolitan freight landscape. Urban Studies, v. 55, n. 6, p. 1346-63. DOI: 10.1177/0042098017691438. DOI: https://doi.org/10.1177/0042098017691438

Grekousis, G. (2020) Spatial Analysis Methods and Practice: Describe – Explore – Explain through GIS. Cambridge: Cambridge University Press. DOI: 10.1017/9781108614528. DOI: https://doi.org/10.1017/9781108614528

Guerin, L.; J.G.V. Vieira; R.L.M. Oliveira et al. (2021) The geography of warehouses in the São Paulo Metropolitan Region and contributing factors to this spatial distribution. Journal of Transport Geography, v. 91, p. 102976. DOI: 10.1016/j.jtrangeo.2021.102976. DOI: https://doi.org/10.1016/j.jtrangeo.2021.102976

Hamilton, R.; D. Thompson; S. Bone et al. (2019) The effects of scarcity on consumer decision journeys. Journal of the Academy of Marketing Science, v. 47, n. 3, p. 532-50. DOI: 10.1007/s11747-018-0604-7. DOI: https://doi.org/10.1007/s11747-018-0604-7

Hart, K. (2020) Why Coronavirus May Prompt Migration Out of American Cities. Available at: <https://www.axios.com/2020/04/30/coronavirus-migration-american-cities-survey> (accessed 03/11/2023).

Heitz, A.; L. Dablanc; J. Olsson et al. (2020) Spatial patterns of logistics facilities in Gothenburg, Sweden. Journal of Transport Geography, v. 88, p. 102191. DOI: 10.1016/j.jtrangeo.2018.03.005. DOI: https://doi.org/10.1016/j.jtrangeo.2018.03.005

Hensher, D.A.; C. Balbontin; M.J. Beck et al. (2022) The impact of working from home on modal commuting choice response during COVID-19: Implications for two metropolitan areas in Australia. Transportation Research Part A, Policy and Practice, v. 155, p. 179-201. DOI: 10.1016/j.tra.2021.11.011. PMid:34840440. DOI: https://doi.org/10.1016/j.tra.2021.11.011

Hensher, D.A.; M.J. Beck and E. Wei (2021) Working from home and its implications for strategic transport modelling based on the early days of the COVID-19 pandemic. Transportation Research Part A, Policy and Practice, v. 148, p. 64-78. DOI: 10.1016/j.tra.2021.03.027. PMid:35702388. DOI: https://doi.org/10.1016/j.tra.2021.03.027

Holguin-Veras, J.; D. Ramirez-Rios; J. Ng et al. (2021) Freight-efficient land uses: methodology, strategies, and tools. Sustainability, v. 13, n. 6, p. 3059. DOI: 10.3390/su13063059. DOI: https://doi.org/10.3390/su13063059

Huang, A.; J. Dawes; L. Lockshin et al. (2017) Consumer response to price changes in higher-priced brands. Journal of Retailing and Consumer Services, v. 39, p. 1-10. DOI: 10.1016/j.jretconser.2017.06.009. DOI: https://doi.org/10.1016/j.jretconser.2017.06.009

IBGE (2022) Belo Horizonte, Minas Gerais: Panorama. Available at: <https://cidades.ibge.gov.br/brasil/mg/belohorizonte/panorama> (accessed 03/11/2023).

Kumar, P. (2005) The competitive impact of service process improvement: examining customers waiting experiences in retail markets. Journal of Retailing, v. 81, n. 3, p. 171-80. DOI: 10.1016/j.jretai.2005.07.002. DOI: https://doi.org/10.1016/j.jretai.2005.07.002

Nanda, A.; Y. Xu and F. Zhang (2021) How would the COVID-19 pandemic reshape retail real estate and high streets through acceleration of E-commerce and digitalisation. Journal of Urban Management, v. 10, n. 2, p. 110-24. DOI: 10.1016/j.jum.2021.04.001. DOI: https://doi.org/10.1016/j.jum.2021.04.001

OECD (2020) E-commerce in the Time of COVID-19. Available at: <https://read.oecd-ilibrary.org/view/?ref=137_137212-t0fjgnerdb&title=E-commerce-in-the-time-of-COVID-19> (accessed 03/11/2023).

ONS (2020) Retail sales, Great Britain: April 2020. Available at: <https://www.ons.gov.uk/businessindustryandtrade/retailindustry/bulletins/retailsales/april2020> (accessed 03/11/2023).

Pantano, E.; G. Pizzi; D. Scarpi et al. (2020) Competing during a pandemic? Retailers ups and downs during the COVID19 outbreak. Journal of Business Research, v. 116, p. 209-13. DOI: 10.1016/j.jbusres.2020.05.036. PMid:32501307. DOI: https://doi.org/10.1016/j.jbusres.2020.05.036

R-Core Team (2013) Diagnostic Checking in Regression Relationships. Available at: <https://www.r-project.org/> (accessed 03/11/2023).

Rodrigue, J. (2020) The distribution network of Amazon and the footprint of freight digitalisation. Journal of Transport Geography, v. 88, p. 102825. DOI: 10.1016/j.jtrangeo.2020.102825. PMid:32834678. DOI: https://doi.org/10.1016/j.jtrangeo.2020.102825

Rodrigue, J.; L. Dablanc and G. Giuliano (2017) The freight landscape: convergence and divergence in urban freight distribution. Journal of Transport and Land Use, v. 10, n. 1, p. 557-72. DOI: 10.5198/jtlu.2017.869. DOI: https://doi.org/10.5198/jtlu.2017.869

Sakai, T.; A. Beziat; A. Heitz et al. (2018) Testing the “Freight Landscape” concept for Paris. Transportation Research Record: Journal of the Transportation Research Board, v. 2672, n. 9, p. 216-28. DOI: 10.1177/0361198118776783. DOI: https://doi.org/10.1177/0361198118776783

Sakai, T.; K. Kawamura and T. Hyodo (2016) Logistics facility distribution in tokyo metropolitan area: experiences and policy lessons. Transportation Research Procedia, v. 12, p. 263-77. DOI: 10.1016/j.trpro.2016.02.064. DOI: https://doi.org/10.1016/j.trpro.2016.02.064

Shah, A.K.; E. Shafir and S. Mullainathan (2015) Scarcity frames value. Psychological Science, v. 26, n. 4, p. 402-12. DOI: 10.1177/0956797614563958. PMid:25676256. DOI: https://doi.org/10.1177/0956797614563958

UNCTAD (2020) Impact of the COVID-19 Pandemic on Trade and Development: Transitioning to a New Normal. Geneva: United Nations.

UNCTAD (2021) COVID-19 and E-Commerce: A Global Review. Geneva: United Nations.

Van Lier, T. (2014) The Development of an External Cost Calculator Framework for Evaluating the Sustainability of Transport Solutions. Thesis (PhD). Business Technology and Operations, Vrije Universiteit Brussel, Brussel.

Verhallen, T.M.M. and H.S.J. Robben (1994) Scarcity and preference: an experiment on unavailability and product evaluation. Journal of Economic Psychology, v. 15, n. 2, p. 315-31. DOI: 10.1016/0167-4870(94)90007-8. DOI: https://doi.org/10.1016/0167-4870(94)90007-8

Wang, X.; W. Kim; J. Holguín-Veras et al. (2021) Adoption of delivery services in light of the COVID pandemic: who and how long. Transportation Research Part A, Policy and Practice, v. 154, p. 270-86. DOI: 10.1016/j.tra.2021.10.012. PMid:34744329. DOI: https://doi.org/10.1016/j.tra.2021.10.012

Zhang, D.; P. Zhu and Y. Ye (2016) The effects of e-commerce on the demand for commercial real estate. Cities, v. 51, p. 106-20. 177/0956797614563958. PMDOI: 10.1016/j.cities.2015.11.012. DOI: https://doi.org/10.1016/j.cities.2015.11.012

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Published

2023-05-03

How to Cite

Oliveira, I. K. de, Oliveira, L. K. de, Maia, M. L. A., & Santos Junior, J. L. dos. (2023). Urban delivery, the Covid-19 pandemic and changes in land use: evidence of the territorial dynamics of the non-residential real estate sector in Belo Horizonte. TRANSPORTES, 31(1), e2821. https://doi.org/10.58922/transportes.v31i1.2821

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Artigos Vencedores do Prêmio ANPET Produção Científica