What about Time-Geography in the post-Covid-19 era?

Klapka, Pavel; Ellegård, Kajsa; Frantál, Bohumil

doi:10.2478/mgr-2020-0017

Cited by 25 publications

(22 citation statements)

References 88 publications

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“…Our research based on extensive Swedish data demonstrates the relevance of the time-geographical approach, echoing Klapka et al [34]. The present study highlights how COVID-19 related changes of individual mobility have aggregate implications for the daily life of urbanites.…”

Section: Discussionsupporting

confidence: 78%

“…In the present paper we exploit the unfortunate pandemic for good as a unique opportunity-a natural experiment on people's mobility. While Klapka et al [34] highlighted the importance of time geographic techniques to analyze the changes in spatiotemporal behavior following the COVID-19 pandemic and the promise of mobile phone data for research, to the best of our knowledge, there are no TG studies on this issue to date.…”

Section: Covid-19: a New Challenge In Geographical Researchmentioning

confidence: 99%

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Mobility during the COVID-19 Pandemic: A Data-Driven Time-Geographic Analysis of Health-Induced Mobility Changes

et al. 2021

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The COVID-19 pandemic has profoundly affected the spatial mobility of a major part of the population in many countries. For most people, this was an extremely disruptive shock, resulting in loss of income, social contact and quality of life. However, forced to reduce human physical interaction, most businesses, individuals and households developed new action lines and routines, and were gradually learning to adapt to the new reality. Some of these changes might result in long-term changes in opportunity structures and in spatial preferences for working, employment or residential location choice, and for mobility behavior. In this paper we aim to extend the time-geographic approach to analyzing people’s spatial activities, by focusing on health-related geographical mobility patterns during the pandemic in Sweden. Starting from a micro-approach at individual level and then looking at an aggregate urban scale, we examine the space-time geography during the coronavirus pandemic, using Hägerstrand’s time-geography model. We utilize a massive but (location-wise) fuzzy dataset to analyze aggregate spatiotemporal impacts of the COVID-19 pandemic using a contemporary time-geographical approach. First, we address micro-level behavior in time-space to understand the mechanisms of change and to illustrate that a temporal drastic change in human mobility seems to be plausible. Then we analyze the changes in individuals’ mobility by analyzing their activity spaces in aggregate using mobile phone network data records. Clearly, it is too early for predicting long-term spatial changes, but a clear heterogeneity in spatial behavior can already be detected. It seems plausible that the corona pandemic may have long-lasting effects on employment centers, city roles and spatial mobility patterns.

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Section: Discussionsupporting

confidence: 78%

Section: Covid-19: a New Challenge In Geographical Researchmentioning

confidence: 99%

Mobility during the COVID-19 Pandemic: A Data-Driven Time-Geographic Analysis of Health-Induced Mobility Changes

et al. 2021

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“…Individuals are entering new situations and may experience social and perceptual unease and stress, which can be felt differently in specific population groups (ethnic minorities, threatened persons, economically vulnerable population, and so on). Therefore, several time-geographic concepts seem to gain new qualities, significance and meaning (Klapka et al 2020).…”

Section: Discussionmentioning

confidence: 99%

Post-1990 migration biographies of Slovaks from Vojvodina: A time-geographic perspective

Ira¹,

Uher²

2021

geogrcas

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Post-1990 migration biographies of Slovaks from Vojvodina: A time-geographic perspective Migrants' life history, whose life-paths were affected by significant political and social events, is one of the academic research interest in human geography, social science, and humanities. The aim of this paper is to illustrate how the time geography could be used as an approach to identify individuals' behavioural patterns. Data were collected from a small sample of Slovaks from Vojvodina (n=34) and subsequently analysed in relation to certain situations in time and space (place). Semi-structured interviews and time-space records were used in constructing 3D life-paths and life chart. Using time geography approach we provide a certain amount of information enabling generation of a broader picture of person's life to identify social, economic and behavioural aspects (including motivation to migrate) affected in some cases by war conflicts in former Yugoslavia, in others by post-war subsequent political, legal, social and economic changes. The findings of the research show that this kind of "the life-path schemes" helps describe a detailed life situation from one time period to another, where geographical sites serve as important "stations" for Slovaks from Vojvodina who decided to spend a longer period in Slovakia or to settle down in a new homeland.

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“…This will tell us about the thematic evolution of GIS and spatial analysis used in COVID‐19 studies compared with the first half of 2020. As we mentioned, during the first months of the pandemic, remarkable reviews or reflections on the usefulness of these technologies and approaches for pandemic research were published (Casti, 2020 ; Collectif, 2020 ; Dangermond, De Vito, & Pesaresi, 2020 ; Devasia, Lakshminarayanan, & Kar, 2020 ; Klapka, Ellegård, & Frantál, 2020 ; Méndez, 2020 ; Radojević, Lazić, & Cimbaljević, 2020 ; Rosenkrantz, Schuurman, Bell, & Amram, 2020 ; Wolf, 2020 ; Zúñiga, Pueyo, & Postigo, 2020 ). Our goal is to provide another valuable resource for researchers applying GIS and spatial analysis to study COVID‐19.…”

Section: Introductionmentioning

confidence: 99%

A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020

Franch-Pardo

Desjardins

Barea-Navarro

et al. 2021

Transactions in GIS

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COVID‐19 has infected over 163 million people and has resulted in over 3.9 million deaths. Regarding the tools and strategies to research the ongoing pandemic, spatial analysis has been increasingly utilized to study the impacts of COVID‐19. This article provides a review of 221 scientific articles that used spatial science to study the pandemic published from June 2020 to December 2020. The main objectives are: to identify the tools and techniques used by the authors; to review the subjects addressed and their disciplines; and to classify the studies based on their applications. This contribution will facilitate comparisons with the body of work published during the first half of 2020, revealing the evolution of the COVID‐19 phenomenon through the lens of spatial analysis. Our results show that there was an increase in the use of both spatial statistical tools (e.g., geographically weighted regression, Bayesian models, spatial regression) applied to socioeconomic variables and analysis at finer spatial and temporal scales. We found an increase in remote sensing approaches, which are now widely applied in studies around the world. Lockdowns and associated changes in human mobility have been extensively examined using spatiotemporal techniques. Another dominant topic studied has been the relationship between pollution and COVID‐19 dynamics, which enhance the impact of human activities on the pandemic's evolution. This represents a shift from the first half of 2020, when the research focused on climatic and weather factors. Overall, we have seen a vast increase in spatial tools and techniques to study COVID‐19 transmission and the associated risk factors.

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What about Time-Geography in the post-Covid-19 era?

Cited by 25 publications

References 88 publications

Mobility during the COVID-19 Pandemic: A Data-Driven Time-Geographic Analysis of Health-Induced Mobility Changes

Mobility during the COVID-19 Pandemic: A Data-Driven Time-Geographic Analysis of Health-Induced Mobility Changes

Post-1990 migration biographies of Slovaks from Vojvodina: A time-geographic perspective

A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020

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