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Depopulation of inner areas and subjective wellbeing during commuting: Evidence from the Italian time use survey

  • Erica Aloè
  • Marina Zannella
  • Roberta Di Stefano
  • Alessandra De Rose

Depopulation processes are strongly connected with ageing, driven by a lower birth rate compared to the death rate and negative net migration. An alternative to migration is commuting, which may help counteract depopulation. However, travel-to-work or travel-to-school patterns significantly impact subjective well-being and quality of life, especially for residents in inner areas. This paper aims to study the relationships between depopulation processes, mobility choices, daily life activities and individual well-being by taking into account the spatial heterogeneity between those living in small towns and disadvantaged areas versus those living in core areas. Our case study is Italy. To investigate the determinants of positive commuting experiences, we draw on the most recent wave (2013–2014) of the Italian Multipurpose Time Use Survey (IT-TUS). Our results confirm that commuting is not experienced uniformly across individuals and territories but reflects the interplay between spatial opportunities and gendered time constraints.

  • Keywords:
  • Depopulation,
  • Inner Areas,
  • Commuting,
  • Wellbeing,
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Erica Aloè

Sapienza University of Rome, Italy - ORCID: 0000-0002-3483-6936

Marina Zannella

ISTAT, Italian National Institute of Statistics, Italy - ORCID: 0000-0003-2412-0819

Roberta Di Stefano

Sapienza University of Rome, Italy - ORCID: 0000-0002-2352-3571

Alessandra De Rose

Sapienza University of Rome, Italy - ORCID: 0000-0001-7533-1435

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  • Anno di pubblicazione: 2026
  • Pagine: 9-14

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  • Anno di pubblicazione: 2026

Informazioni sul capitolo

Titolo del capitolo

Depopulation of inner areas and subjective wellbeing during commuting: Evidence from the Italian time use survey

Autori

Erica Aloè, Marina Zannella, Roberta Di Stefano, Alessandra De Rose

Lingua

Inglese

DOI

10.36253/979-12-215-1062-1.4

Opera sottoposta a peer review

Anno di pubblicazione

2026

Copyright

© 2026 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Informazioni bibliografiche

Titolo del libro

Data, Statistics and AI for Well-Being of People and Organisations

Curatori

Luigi Fabbris, Alberto Franci, Pietro Renzi

Opera sottoposta a peer review

Numero di pagine

420

Anno di pubblicazione

2026

Copyright

© 2026 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Editore

Firenze University Press

DOI

10.36253/979-12-215-1062-1

ISBN Print

979-12-215-1061-4

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979-12-215-1062-1

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979-12-215-1063-8

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Applied Statistics Series

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