A machine learning approach to analyzing spatiotemporal impacts of mobility restriction policies on infection rates
Author
Abstract
Suggested Citation
DOI: 10.1016/j.tra.2023.103795
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Jabari, Saif Eddin & Liu, Henry X., 2013. "A stochastic model of traffic flow: Gaussian approximation and estimation," Transportation Research Part B: Methodological, Elsevier, vol. 47(C), pages 15-41.
- Goolsbee, Austan & Syverson, Chad, 2021.
"Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020,"
Journal of Public Economics, Elsevier, vol. 193(C).
- Austan Goolsbee & Chad Syverson, 2020. "Fear, Lockdown, and Diversion: Comparing Drivers of Pandemic Economic Decline 2020," Working Papers 2020-80, Becker Friedman Institute for Research In Economics.
- Austan Goolsbee & Chad Syverson, 2020. "Fear, Lockdown, and Diversion: Comparing Drivers of Pandemic Economic Decline 2020," NBER Working Papers 27432, National Bureau of Economic Research, Inc.
- Arnaud Pincet & Shu Okabe & Martin Pawelczyk, 2019. "Linking Aid to the Sustainable Development Goals – a machine learning approach," OECD Development Co-operation Working Papers 52, OECD Publishing.
- Laval, Jorge A. & Toth, Christopher S. & Zhou, Yi, 2014. "A parsimonious model for the formation of oscillations in car-following models," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 228-238.
- Pierre Nouvellet & Sangeeta Bhatia & Anne Cori & Kylie E. C. Ainslie & Marc Baguelin & Samir Bhatt & Adhiratha Boonyasiri & Nicholas F. Brazeau & Lorenzo Cattarino & Laura V. Cooper & Helen Coupland &, 2021. "Reduction in mobility and COVID-19 transmission," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
- Hamish Gibbs & Yang Liu & Carl A. B. Pearson & Christopher I. Jarvis & Chris Grundy & Billy J. Quilty & Charlie Diamond & Rosalind M. Eggo, 2020. "Changing travel patterns in China during the early stages of the COVID-19 pandemic," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
- Guardiola, I.G. & Leon, T. & Mallor, F., 2014. "A functional approach to monitor and recognize patterns of daily traffic profiles," Transportation Research Part B: Methodological, Elsevier, vol. 65(C), pages 119-136.
- Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions," Transport Policy, Elsevier, vol. 99(C), pages 95-119.
- Hensher, David A. & Beck, Matthew J. & Wei, Edward, 2021. "Working from home and its implications for strategic transport modelling based on the early days of the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 64-78.
- Zarazua de Rubens, Gerardo, 2019. "Who will buy electric vehicles after early adopters? Using machine learning to identify the electric vehicle mainstream market," Energy, Elsevier, vol. 172(C), pages 243-254.
- Chan, Ho-Yin & Chen, Anthony & Ma, Wei & Sze, Nang-Ngai & Liu, Xintao, 2021. "COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong," Transport Policy, Elsevier, vol. 106(C), pages 173-184.
- Firebanks-Quevedo, Daniel & Planas, Jordi & Buckingham, Kathleen & Taylor, Cristina & Silva, David & Naydenova, Galina & Zamora-Cristales, René, 2022. "Using machine learning to identify incentives in forestry policy: Towards a new paradigm in policy analysis," Forest Policy and Economics, Elsevier, vol. 134(C).
- Liu, Shasha & Yamamoto, Toshiyuki, 2022. "Role of stay-at-home requests and travel restrictions in preventing the spread of COVID-19 in Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 1-16.
- Lin, Hong-Zhi & Lo, Hing-Po & Chen, Xiao-Jian, 2009. "Lifestyle classifications with and without activity-travel patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(6), pages 626-638, July.
- Guohui Zhang & Yinhai Wang, 2014. "A Gaussian Kernel-Based Approach for Modeling Vehicle Headway Distributions," Transportation Science, INFORMS, vol. 48(2), pages 206-216, May.
- Anil NP Koushik & M. Manoj & N. Nezamuddin, 2020. "Machine learning applications in activity-travel behaviour research: a review," Transport Reviews, Taylor & Francis Journals, vol. 40(3), pages 288-311, May.
- Bian, Zilin & Zuo, Fan & Gao, Jingqin & Chen, Yanyan & Pavuluri Venkata, Sai Sarath Chandra & Duran Bernardes, Suzana & Ozbay, Kaan & Ban, Xuegang (Jeff) & Wang, Jingxing, 2021. "Time lag effects of COVID-19 policies on transportation systems: A comparative study of New York City and Seattle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 269-283.
- Veale, Michael & Brass, Irina, 2019. "Administration by Algorithm? Public Management meets Public Sector Machine Learning," SocArXiv mwhnb, Center for Open Science.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Chen, Tiantian & Fu, Xiaowen & Hensher, David A. & Li, Zhi-Chun & Sze, N.N., 2022. "Air travel choice, online meeting and passenger heterogeneity – An international study on travellers’ preference during a pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 439-453.
- Bouadi, Marouane & Jia, Bin & Jiang, Rui & Li, Xingang & Gao, Zi-You, 2022. "Stability analysis of stochastic second-order macroscopic continuum models and numerical simulations," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 193-209.
- Coogan, Samuel & Flores, Christopher & Varaiya, Pravin, 2017. "Traffic predictive control from low-rank structure," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 1-22.
- Balbontin, Camila & Hensher, David A. & Beck, Matthew J. & Giesen, Ricardo & Basnak, Paul & Vallejo-Borda, Jose Agustin & Venter, Christoffel, 2021. "Impact of COVID-19 on the number of days working from home and commuting travel: A cross-cultural comparison between Australia, South America and South Africa," Journal of Transport Geography, Elsevier, vol. 96(C).
- Xi, Haoning & Li, Qin & Hensher, David A. & Nelson, John D. & Ho, Chinh, 2023. "Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments," Transport Policy, Elsevier, vol. 136(C), pages 98-112.
- Bouadi, Marouane & Jia, Bin & Jiang, Rui & Li, Xingang & Gao, Zi-You, 2022. "Stochastic factors and string stability of traffic flow: Analytical investigation and numerical study based on car-following models," Transportation Research Part B: Methodological, Elsevier, vol. 165(C), pages 96-122.
- Arif Budiarto & Nur Shalin Abdi & Dimas Bayu Endrayana Dharmowijoyo & Nursitihazlin Ahmad Termida & Basil David Daniel & Nur Sabahiah Abdul Sukor & Liza Evianti Tanjung, 2022. "Effects of Changes in Discretionary Trips and Online Activities on Social and Mental Health during Two Different Phases of the COVID-19 Pandemic in Malaysia," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
- Burcu Ozgun & Tom Broekel, 2024.
"Saved by the news? COVID-19 in German news and its relationship with regional mobility behaviour,"
Regional Studies, Taylor & Francis Journals, vol. 58(2), pages 365-380, February.
- Burcu Ozgun & Tom Broekel, 2022. "Saved by the news? COVID-19 in German news and its relationship with regional mobility behavior," Papers in Evolutionary Economic Geography (PEEG) 2224, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2022.
- Liu, Shasha & Yamamoto, Toshiyuki, 2022. "Role of stay-at-home requests and travel restrictions in preventing the spread of COVID-19 in Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 1-16.
- Storm, Pieter Jacob & Mandjes, Michel & van Arem, Bart, 2022. "Efficient evaluation of stochastic traffic flow models using Gaussian process approximation," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 126-144.
- Kogus, Ayelet & Brůhová Foltýnová, Hana & Gal-Tzur, Ayelet & Shiftan, Yuval & Vejchodská, Eliška & Shiftan, Yoram, 2022. "Will COVID-19 accelerate telecommuting? A cross-country evaluation for Israel and Czechia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 291-309.
- Li, Siping & Xu, Gangyan & Zhou, Yaoming, 2023. "How air transport networks respond to long-lasting disruptive events like COVID-19: The first step toward long-term resilience," Transportation Research Part A: Policy and Practice, Elsevier, vol. 177(C).
- Ngoduy, D., 2021. "Noise-induced instability of a class of stochastic higher order continuum traffic models," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 260-278.
- Hensher, David A. & Beck, Matthew J. & Balbontin, Camila, 2023. "Working from home 22 months on from the beginning of COVID-19: What have we learned for the future provision of transport services?," Research in Transportation Economics, Elsevier, vol. 98(C).
- Balbontin, Camila & Hensher, David A. & Beck, Matthew J., 2022. "Advanced modelling of commuter choice model and work from home during COVID-19 restrictions in Australia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
- Riccardo Ceccato & Riccardo Rossi & Massimiliano Gastaldi, 2021. "Travel Demand Prediction during COVID-19 Pandemic: Educational and Working Trips at the University of Padova," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
- Li, Tao & Wang, Jiaoe & Huang, Jie & Yang, Wenyue & Chen, Zhuo, 2021. "Exploring the dynamic impacts of COVID-19 on intercity travel in China," Journal of Transport Geography, Elsevier, vol. 95(C).
- Chen, Chao & Feng, Tao & Gu, Xiaoning & Yao, Baozhen, 2022. "Investigating the effectiveness of COVID-19 pandemic countermeasures on the use of public transport: A case study of The Netherlands," Transport Policy, Elsevier, vol. 117(C), pages 98-107.
- Hintermann, Beat & Schoeman, Beaumont & Molloy, Joseph & Schatzmann, Thomas & Tchervenkov, Christopher & Axhausen, Kay W., 2023.
"The impact of COVID-19 on mobility choices in Switzerland,"
Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
- Hintermann, Beat & Schoeman, Beaumont & Molloy, Joseph & Schatzmann, Thomas & Tchervenkov, Christopher & Axhausen, Kay W., 2021. "The impact of COVID-19 on mobility choices in Switzerland," Working papers 2021/10, Faculty of Business and Economics - University of Basel.
- Wright, Austin L. & Sonin, Konstantin & Driscoll, Jesse & Wilson, Jarnickae, 2020.
"Poverty and economic dislocation reduce compliance with COVID-19 shelter-in-place protocols,"
Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 544-554.
- Austin L. Wright & Konstantin Sonin & Jesse Driscoll & Jarnickae Wilson, 2020. "Poverty and Economic Dislocation Reduce Compliance with COVID-19 Shelter-in-Place Protocols," Working Papers 2020-40, Becker Friedman Institute for Research In Economics.
- Sonin, Konstantin & Wright, Austin L. & Driscoll, Jesse & Wilson, Jarnickae, 2020. "Poverty and Economic Dislocation Reduce Compliance with COVID-19 Shelter-in-Place Protocols," CEPR Discussion Papers 14618, C.E.P.R. Discussion Papers.
More about this item
Keywords
COVID-19; The stringency of restriction policy; Multimodal travel patterns; Machine learning approach; Evidence-based policymaking;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:176:y:2023:i:c:s096585642300215x. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.