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Active mobility in an Italian city: Mode choice determinants and attitudes before and during the Covid-19 emergency

Scorrano, Mariangela
•
Danielis, Romeo
2021
  • journal article

Periodico
RESEARCH IN TRANSPORTATION ECONOMICS
Abstract
The paper investigates the choice of the transport mode to access the city center of Trieste, Italy. We have collected revealed and stated choice data and attitudinal data in order to investigate the mode of transport used before and during the Covid-19 pandemic. We studied the main choice determinants jointly with respondents’ psychological attitudes using an integrated choice/latent variable modelling framework. The model incorporates choice data, generalized cost variables, random parameters, and latent variables. The latter capture the concern for the environment, both at global and local level, the attitudes towards physical exercise and the Covid-19-related risks. The model is applied to assess the impact of extending the density of the cycling lanes on active mobility. Our estimates indicate a potential increase in cycling which, however, would not translate into an increase in active mobility, since the bike would substitute some trips currently made by foot. We also detect a high substitutability between the bike and the bus, while the motorcycle and the car are much less affected. It is confirmed that the Covid-19 pandemic altered significantly the transport mode choices, having a strong negative impact on bus and shifting bus users towards private modes, both motorized and non-motorized.
DOI
10.1016/j.retrec.2021.101031
WOS
WOS:000674733700012
Archivio
http://hdl.handle.net/11368/2981098
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85100678601
https://www.sciencedirect.com/science/article/pii/S0739885921000032
Diritti
open access
license:copyright editore
license:creative commons
license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
FVG url
https://arts.units.it/request-item?handle=11368/2981098
Soggetti
  • Active mobility

  • Revealed preference

  • Stated preference

  • Attitude

  • Hybrid choice modelli...

  • Covid-19

Web of Science© citazioni
62
Data di acquisizione
Mar 23, 2024
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