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16-06-2022 | Original Paper

Land value dynamics and the spatial evolution of cities following COVID 19 using big data analytics

Authors: Erez Buda, Dani Broitman, Daniel Czamanski

Published in: The Annals of Regional Science | Issue 2/2023

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Abstract

In this paper, we present results of a land-use forecasting model that we calibrated with vast geo-referenced data of a major metropolitan area. Each land parcel includes information concerning regulations indicating permitted land-uses as well as the certain characteristics of existing buildings. Data concerning all real estate transactions include information about the assets and the price of the exchanges. Based on these data we estimated the spatial dynamics of land values in the metropolitan area over time and identified locations experiencing development pressures. This analysis allows us to forecast plausible futures of the urban spatial configuration. Taking the approach one step further, we propose simulations motivated by the natural experiment of COVID 19. We assumed that part of the behavioral changes observed during the pandemic will endure. The resulting simulations provide forecasts of the future spatial structure of the metropolitan area. Comparing the actual and the forecasted scenarios we interpret the spatial dynamics of the city as they would be if a business-as-usual-pre-Covid-19 scenario is realized, and possible trend changes if the impact of the pandemic is long lasting.

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Footnotes
1
According to the OECD capacity for remote working can be above 50 per cent of the workforce and can affect lockdown cost differently across places. For example, this is the case in greater London and Washington D.C. Paris: OECD (2020). https://​bit.​ly/​3fgJRkF.
 
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Metadata
Title
Land value dynamics and the spatial evolution of cities following COVID 19 using big data analytics
Authors
Erez Buda
Dani Broitman
Daniel Czamanski
Publication date
16-06-2022
Publisher
Springer Berlin Heidelberg
Published in
The Annals of Regional Science / Issue 2/2023
Print ISSN: 0570-1864
Electronic ISSN: 1432-0592
DOI
https://doi.org/10.1007/s00168-022-01153-7