Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23895
Title: Spatial Analysis of Environmental Impacts Linked to Changes in Urban Mobility Patterns during COVID-19: Lessons Learned from the Cartagena Case Study
Authors: García-Ayllón, Salvador 
Kyriakidis, Phaedon 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Urban mobility;Cartagena;Air quality;Spatial correlation;COVID-19;Spatial statistics
Issue Date: Jan-2022
Source: Land, 2022, vol. 11, articl. no. 81
Volume: 11
Journal: Land 
Abstract: The impact of the pandemic caused by COVID-19 on urban pollution in our cities is a proven fact, although its mechanisms are not known in great detail. The change in urban mobility patterns due to the restrictions imposed on the population during lockdown is a phenomenon that can be parameterized and studied from the perspective of spatial analysis. This study proposes an analysis of the guiding parameters of these changes from the perspective of spatial analysis. To do so, the case study of the city of Cartagena, a medium-sized city in Spain, has been analyzed through-out the period of mobility restrictions due to COVID-19. By means of a geostatistical analysis, changes in urban mobility patterns and the modal distribution of transport have been correlated with the evolution of environmental air quality indicators in the city. The results show that despite the positive effect of the pandemic in its beginnings on the environmental impact of urban mobility, the changes generated in the behavior patterns of current mobility users favor the most polluting modes of travel in cities.
URI: https://hdl.handle.net/20.500.14279/23895
ISSN: 2073445X
DOI: 10.3390/land11010081
Rights: © The Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Type: Article
Affiliation : Technical University of Cartagena 
Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Geospatial Analytics Lab 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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