Economic and social consequences of human mobility restrictions under COVID-19
Open accessAbstract
Significance: This paper presents a large-scale analysis of the impact of lockdown measures introduced in response to the spread of novel coronavirus disease 2019 (COVID-19) on socioeconomic conditions of Italian citizens. We leverage a massive near–real-time dataset of human mobility and we model mobility restrictions as an exogenous shock to the economy, similar to a natural disaster. We find that lockdown measures have a twofold effect: First, their impact on mobility is stronger in municipalities with higher fiscal capacity; second, they induce a segregation effect: mobility contraction is stronger in municipalities where inequality is higher and income per capita is lower. We highlight the necessity of fiscal measures that account for these effects, targeting poverty and inequality mitigation.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Mobility restrictions are effective in flattening the curve but immediately affected the economy and societal functions.
“Although mobility restrictions are effective in flattening the curve they immediately affected the economy and societal functions [103].”
From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [103]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 26 · Cited by 1,004
Research works printed but not linked: 1
- [17]M. Newman, Networks (Oxford University Press, 2018).
- Authors
- Bonaccorsi, G., Pierri, F., Cinelli, M., Flori, A., Galeazzi, A., Porcelli, F., Schmidt, A. L., Valensise, C. M., Scala, A., Quattrociocchi, W., & Pammolli, F.
- Affiliations
- Politecnico di Milano (IT)
- Institute for Complex Systems (IT)
- University of Brescia (IT)
- University of Bari Aldo Moro (IT)
- Department of Environmental Sciences, Informatics and Statistics, Università Ca’Foscari di Venezia, 30123 Venizia, Italy;
- Istituto dei Sistemi Complessi, Consiglio Nazionale delle Ricerche, 00185 Rome, Italy;
- Ca' Foscari University of Venice (IT)
- Impact, Department of Management, Economics and Industrial Engineering, Politecnico di Milano, 20156 Milano, Italy;
- Corresponding author
- Bonaccorsi, Giovanni
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2020-06-18
- Volume
- 117
- Issue
- 27
- Pages
- 15530-15535
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC7355033
- OpenAlex
- W3023863810
- Cited by
- 1,004
- References
- 26
- Citations by year
- 2026: 29 · 2025: 54 · 2024: 90 · 2023: 148 · 2022: 241 · 2021: 333 · 2020: 108 · 2019: 1
- FWCI
- 176.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion, cc-by-nc-sa)
- ARCA (Università Ca' Foscari Venezia) (submittedVersion, other-oa)
- CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion, other-oa)
- arXiv (Cornell University)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Social Sciences › Political Science and International Relations › Local Government Finance and Decentralization
- Keywords
- COVID-19 lockdown, mobility restrictions, social segregation, income inequality, municipal fiscal capacity, local government revenue, poverty, Italian municipalities
- MeSH terms
- COVID-19, Humans, Italy, Pneumonia, Viral, Quarantine, Socioeconomic Factors, Travel, Coronavirus Infections, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
