Arbeitspapier

Questioning the spatial association between the spread of COVID-19 and transit usage in Italy

Within the much broader framework of global interest, the dilemma concerning the real impact of mode of transport on the spread of COVID-19 has been a priority for transport stakeholders and policy-makers. How dangerous is it to move around a certain territory? Does the danger depend on the mode of transport? By considering a novel and detailed dataset at the level of local labour markets, we analysed the spatial association between the propensity to use public transport and excess mortality in Italy attributable to the spread of COVID-19. We found that places characterised by larger commuting flows exhibit higher excess mortality, but observed no significant spatial association between excess mortality and transit usage. Our results were obtained by considering a wide range of heterogeneity in the estimation of quantile regressions across a variety of specifications. Although we do not provide a definitive answer concerning the risk associated with transit use, our analysis suggests that mobility, not modal choice, should be considered a main driver of the contagion.

Sprache
Englisch

Erschienen in
Series: Working Paper Series ; No. 11

Klassifikation
Wirtschaft
Public Goods
Health: Government Policy; Regulation; Public Health
Geographic Labor Mobility; Immigrant Workers
Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
Thema
COVID-19
Public transport
Commuting
Quantile regression
Italy

Ereignis
Geistige Schöpfung
(wer)
Borsati, Mattia
Nocera, Silvio
Percoco, Marco
Ereignis
Veröffentlichung
(wer)
Bocconi University, Centre for Research on Geography, Resources, Environment, Energy and Networks (GREEN)
(wo)
Milan
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Borsati, Mattia
  • Nocera, Silvio
  • Percoco, Marco
  • Bocconi University, Centre for Research on Geography, Resources, Environment, Energy and Networks (GREEN)

Entstanden

  • 2020

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