Relevant bibliographies by topics / Mobility patterns

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mobility patterns'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Mobility patterns"

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du Mouza, Cédric, and Philippe Rigaux. "Mobility Patterns." GeoInformatica 9, no. 4 (2005): 297–319. http://dx.doi.org/10.1007/s10707-005-4574-9.

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Potter, David C. "IAS Mobility Patterns." Indian Journal of Public Administration 33, no. 4 (1987): 845–56. http://dx.doi.org/10.1177/0019556119870401.

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Zonoozi, M. M., and P. Dassanayake. "User mobility modeling and characterization of mobility patterns." IEEE Journal on Selected Areas in Communications 15, no. 7 (1997): 1239–52. http://dx.doi.org/10.1109/49.622908.

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Perez, K. "Towards new patterns of mobility." Journal of Epidemiology & Community Health 64, no. 01 (2009): 8–9. http://dx.doi.org/10.1136/jech.2009.090936.

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González, Marta C., César A. Hidalgo, and Albert-László Barabási. "Understanding individual human mobility patterns." Nature 453, no. 7196 (2008): 779–82. http://dx.doi.org/10.1038/nature06958.

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González, Marta C., César A. Hidalgo, and Albert-László Barabási. "Understanding individual human mobility patterns." Nature 458, no. 7235 (2009): 238. http://dx.doi.org/10.1038/nature07850.

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Burkhauser, Richard V., Barbara A. Butrica, and Michael J. Wasylenko. "Mobility Patterns of Older Homeowners." Research on Aging 17, no. 4 (1995): 363–84. http://dx.doi.org/10.1177/0164027595174001.

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Leyendecker, Katja. "Mobility patterns and urban structure." URBAN DESIGN International 21, no. 3 (2016): 276–77. http://dx.doi.org/10.1057/udi.2016.4.

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Yan, Xiao-Yong, Chen Zhao, Ying Fan, Zengru Di, and Wen-Xu Wang. "Universal predictability of mobility patterns in cities." Journal of The Royal Society Interface 11, no. 100 (2014): 20140834. http://dx.doi.org/10.1098/rsif.2014.0834.

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Despite the long history of modelling human mobility, we continue to lack a highly accurate approach with low data requirements for predicting mobility patterns in cities. Here, we present a population-weighted opportunities model without any adjustable parameters to capture the underlying driving force accounting for human mobility patterns at the city scale. We use various mobility data collected from a number of cities with different characteristics to demonstrate the predictive power of our model. We find that insofar as the spatial distribution of population is available, our model offers
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Chen, Yanyan, Zheng Zhang, and Tianwen Liang. "Assessing Urban Travel Patterns: An Analysis of Traffic Analysis Zone-Based Mobility Patterns." Sustainability 11, no. 19 (2019): 5452. http://dx.doi.org/10.3390/su11195452.

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Information and communication technology development has yielded large-scale spatiotemporal datasets, such as mobile phone, automatic collection system, and car-hailing data, which have resulted in new opportunities to investigate urban transportation systems. However, few studies have focused on regional mobility patterns. This study presents a multistep method for exploring traffic analysis zone (TAZ)-based mobility patterns and the corresponding relations with local land use characteristics. Based on a large-scale mobile phone dataset from a major mobile phone operator in Beijing, we applie
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Dissertations / Theses on the topic "Mobility patterns"

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Williams, Matthew James. "Periodic patterns in human mobility." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/56804/.

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The recent rise of services and networks that rely on human mobility has prompted the need for tools that detect our patterns of visits to locations and encounters with other individuals. The widespread popularity of location- and encounter-aware mobile phones has given us a wealth of empirical mobility data and enabled many novel applications that benefit from automated detection of an individual’s mobility patterns. This thesis explores the presence and character of periodic patterns in the visits and encounters of human individuals. Novel tools for extracting and analysing periodic mobility
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Nirkhiwale, Supriya. "Optimal mobility patterns in epidemic networks." Thesis, Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/1494.

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McGinn, Mary. "Career mobility patterns of Oklahoma school superintendents /." Access abstract and link to full text, 1989. http://0-wwwlib.umi.com.library.utulsa.edu/dissertations/fullcit/8914323.

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Yang, Yingxiang S. M. Massachusetts Institute of Technology. "Understanding human mobility patterns from digital traces." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82863.

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Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 93-102).<br>Our current digital age is characterized by the shift from traditional industry to an economy based on the information computerization. The sweeping changes brought about by digital computing have provided new data sources for transportation modeling. In this thesis, two mainstream trends in utilizing digital traces in transportation modeling are explored. The first app
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Liebig, Thomas [Verfasser]. "Pedestrian Mobility Mining with Movement Patterns / Thomas Liebig." Bonn : Universitäts- und Landesbibliothek Bonn, 2013. http://d-nb.info/1045872032/34.

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Verginer, Luca. "The mobility of scientists and inventors: patterns and determinants." Thesis, IMT Alti Studi Lucca, 2019. http://e-theses.imtlucca.it/265/1/Verginer_phdthesis.pdf.

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Life Scientists working both at Universities and private institutions are very mobile. This fact is reflected both in their tendency to move globally, from city to city, as well as from institution to institution. This thesis addresses several questions regarding the mobility patterns of these scientists and tests possible determinants for their relocation choice. We develop a novel dataset tracking the mobility of 3.7 million scientists across 9,745 cities over two decades. We show that mobility is marked by national borders and shared languages and that the mobility network is dominated
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Pham, Cong S. "Three essays on the mobility and determinants of trade patterns." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2005. http://catalog.hathitrust.org/api/volumes/oclc/76945245.html.

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Hu, Hsi-Hwa. "Travel patterns, land use, and the elderly mobility, activity, accessibility." Saarbrücken VDM Verlag Dr. Müller, 2007. http://d-nb.info/98518146X/04.

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Merah, Amar Farouk. "Vehicular Movement Patterns: A Sequential Patterns Data Mining Approach Towards Vehicular Route Prediction." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22851.

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Behavioral patterns prediction in the context of Vehicular Ad hoc Networks (VANETs)has been receiving increasing attention due to enabling on-demand, intelligent traffic analysis and response to real-time traffic issues. One of these patterns, sequential patterns, are a type of behavioral patterns that describe the occurence of events in a timely-ordered fashion. In the context of VANETs, these events are defined as an ordered list of road segments traversed by vehicles during their trips from a starting point to their final intended destination, forming a vehicular path. Due to their predict
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Innes, Holly Nadean. "AIDS in Ontario, an examination of mobility patterns and spatial variations." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ60803.pdf.

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Books on the topic "Mobility patterns"

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Bräuchler, Birgit. Patterns of Im/mobility, Conflict and Identity. Routledge, 2021. http://dx.doi.org/10.4324/9781003198789.

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O'Neill, Donal. Intergenerational mobility in Britain: Evidence from unemployment patterns. Maynooth College, Department of Economics, 1997.

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Breen, Richard. Cross-national variation in European patterns of social fluidity: The effects of agriculture, hierarchy andproperty. Economic and Social Research Institute, 1991.

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United States. Bureau of Labor Statistics, ed. Work and family: Work patterns of women near retirement. U.S. Dept. of Labor, Bureau of Labor Statistics, 1992.

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Hülsmann, Michael, and Dirk Fornahl, eds. Evolutionary Paths Towards the Mobility Patterns of the Future. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-37558-3.

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Fassmann, Heinz. Migration and mobility in Europe: Trends, patterns and control. Edward Elgar, 2009.

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Hootkins, Susan G. Migration patterns in the San Francisco Bay Area. Association of Bay Area Governments, 1987.

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Cregan, Christina. Young people in the workplace: Job, union, and mobility patterns. Mansell, 1998.

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Brockwell, Sally. Archaeological settlement patterns and mobility strategies: Lower Adelaide River, Northern Australia. John and Erica Hedges Ltd., 2009.

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Chaykowski, Richard P. The determination of wage compensation and mobility patterns within unionized firms. Published by Industrial Relations Centre, Queen's University at Kingston, 1987.

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Book chapters on the topic "Mobility patterns"

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Wescott, Daniel J. "The Relationship Between Femur Shape and Terrestrial Mobility Patterns." In Reconstructing Mobility. Springer US, 2014. http://dx.doi.org/10.1007/978-1-4899-7460-0_7.

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Ronald, Nicole, Zahra Navidi, Yaoli Wang, et al. "Mobility Patterns in Shared, Autonomous, and Connected Urban Transport." In Disrupting Mobility. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51602-8_16.

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Figueiredo, André, Antônio Almeida, and Patrícia Machado. "Identifying and Documenting Test Patterns from Mobile Agent Design Patterns." In Mobility Aware Technologies and Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30178-3_35.

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Hedrick, Adele, Ying Zhu, and Ken Pu. "Modeling Transition and Mobility Patterns." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60591-3_48.

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Arenas, Iván Darío Peñaranda, Hugo Alatrista-Salas, and Miguel Núñez-del-Prado Cortez. "Discovery of Urban Mobility Patterns." In Advances in Data Science and Information Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71704-9_33.

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Lukić, Vesna. "Migration and Mobility Patterns in." In World Regional Geography Book Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74701-5_12.

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Suchanek, Michał, and Anna Fornalska. "Mobility Patterns and Urban Infrastructure." In Handbook of Labor, Human Resources and Population Economics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-319-57365-6_419-1.

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Sparacello, Vitale S., Damiano Marchi, and Colin N. Shaw. "The Importance of Considering Fibular Robusticity When Inferring the Mobility Patterns of Past Populations." In Reconstructing Mobility. Springer US, 2014. http://dx.doi.org/10.1007/978-1-4899-7460-0_6.

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Vaid, Divya. "Social Mobility Patterns, Opportunities, and Barriers." In Marginalities and Mobilities among India’s Muslims. Routledge India, 2023. http://dx.doi.org/10.4324/9781003280309-7.

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Butler, John R., J. M. Bevan, and R. C. Taylor. "An area analysis of mobility patterns." In Family Doctors and Public Policy. Routledge, 2025. https://doi.org/10.4324/9781003647577-7.

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Conference papers on the topic "Mobility patterns"

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Torkey, Alaa, Mohamed H. Zaki, and Ashraf A. El Damatty. "Emergency Management Plan for Electric Vehicles During Floods Using Daily Routing Patterns." In 2024 IEEE International Conference on Smart Mobility (SM). IEEE, 2024. http://dx.doi.org/10.1109/sm63044.2024.10733362.

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Najjar, Alameen. "Pre-trained Transformer Uncovers Meaningful Patterns in Human Mobility Data." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825246.

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Liao, Zhenmei, Su Yang, and Jianning Liang. "Discovering Collective Mobility Patterns." In 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust (PASSAT) / 2011 IEEE Third Int'l Conference on Social Computing (SocialCom). IEEE, 2011. http://dx.doi.org/10.1109/passat/socialcom.2011.217.

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Field, Zara, Rick Dewar, Phil Trinder, and Andre Rauber Du Bois. "Two executable mobility design patterns." In the 2006 conference. ACM Press, 2006. http://dx.doi.org/10.1145/1415472.1415512.

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Mastio, Matthieu, Mahdi Zargayouna, Gerard Scemama, and Omer Rana. "Patterns to distribute mobility simulations." In 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA). IEEE, 2016. http://dx.doi.org/10.1109/aiccsa.2016.7945676.

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Ellersiek, Timothy, Gennady Andrienko, Natalia Andrienko, Dirk Hecker, Hendrik Stange, and Marc Mueller. "Using Bluetooth to track mobility patterns." In the Fifth ACM SIGSPATIAL International Workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2533810.2533813.

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"Introducing Mobility into Agent Coordination Patterns." In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004813401310138.

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Liang, Victor, and Vincent T. Y. Ng. "Predicting new and unusual mobility patterns." In 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2017. http://dx.doi.org/10.1109/cscwd.2017.8066711.

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Mastroianni, Pierpaolo, Bernardo Monechi, Vito D. P. Servedio, Carlo Liberto, Gaetano Valenti, and Vittorio Loreto. "Individual Mobility Patterns in Urban Environment." In 1st International Conference on Complex Information Systems. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005907000810088.

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Ciftcioglu, Ertugrul Necdet, Ram Ramanathan, and Thomas F. La Porta. "Scalability Analysis of Tactical Mobility Patterns." In MILCOM 2013 - 2013 IEEE Military Communications Conference. IEEE, 2013. http://dx.doi.org/10.1109/milcom.2013.318.

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Reports on the topic "Mobility patterns"

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Franzoni, Chiara, Giuseppe Scellato, and Paula Stephan. Foreign Born Scientists: Mobility Patterns for Sixteen Countries. National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w18067.

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Albrecht, Jochen, Andreas Petutschnig, Laxmi Ramasubramanian, Bernd Resch, and Aleisha Wright. Comparing Twitter and LODES Data for Detecting Commuter Mobility Patterns. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2037.

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Local and regional planners struggle to keep up with rapid changes in mobility patterns. This exploratory research is framed with the overarching goal of asking if and how geo-social network data (GSND), in this case, Twitter data, can be used to understand and explain commuting and non-commuting travel patterns. The research project set out to determine whether GSND may be used to augment US Census LODES data beyond commuting trips and whether it may serve as a short-term substitute for commuting trips. It turns out that the reverse is true and the common practice of employing LODES data to e
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Motley, Robert, Eric Williamson, Jamie Motley, and Rebekah Siddiqi. Social Mobility Patterns Among Black Emerging Adults in Suffolk County, MA. Boston College School of Social Work, Racism-based Violence Injury & Prevention Lab, 2022. http://dx.doi.org/10.6017/ssw.rbvipl.rb001.kq2953.

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Audoly, Richard, Rory McGee, Sergio Ocampo, and Gonzalo Paz-Pardo. The Life-Cycle Dynamics of Wealth Mobility. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1097.

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We use twenty-five years of tax records for the Norwegian population to study the mobility of wealth over people’s lifetimes. We find considerable wealth mobility over the life cycle. To understand the underlying mobility patterns, we group individuals with similar wealth rank histories using agglomerative hierarchical clustering, a tool from statistical learning. The mobility patterns we elicit provide evidence of segmented mobility. Over 60 percent of the population remains at the top or bottom of the wealth distribution throughout their lives. Mobility is driven by the remaining 40 percent,
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Schuch, Klaus. Patterns of Geographical Mobility of Researchers from Six Western Balkan Countries in Regional and European Mobility Based Training Programmes. Fteval - Austrian Platform for Research and Technology Policy Evaluation, 2021. http://dx.doi.org/10.22163/fteval.2021.516.

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The aim of this paper is to analyse the mobility of researchers from the six Western Balkan Countries, Albania, Bosnia and Herzego-vina, Kosovo*1, Montenegro, North Macedonia, and Serbia (abbr. WB6) within structured regional and European mobility programmes. We want to identify geographical patterns with a view on mobility-based training from the WB6 region to the EU, but also within the WB6 region. The following structured regional European programmes provide the basis for this comparative analysis • CEEPUS • ERASMUS + • Marie Skłodowska-Curie Actions (MSCA) • COST
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Aromi, J. Daniel, María Paula Bonel, Julián Cristia, Martín Llada, and Luis Palomino. Socioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003315.

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This study analyzes mobility patterns during the COVID-19 pandemic for eight large Latin American cities. Indicators of mobility by socioeconomic status (SES) are generated by combining georeferenced mobile phone information with granular census data. Before the pandemic, a strong positive association between SES and mobility is documented. With the arrival of the pandemic, in most cases, a negative association between mobility and SES emerges. This new pattern is explained by a notably stronger reduction in mobility by high-SES individuals. A comparison of mobility for SES decile 1 vs decile
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Kondo, Illenin, Kevin Rinz, Natalie Gubbay, Brandon Hawkins, John Voorheis, and Abigail Wozniak. Granular Income Inequality and Mobility using IDDA: Exploring Patterns across Race and Ethnicity. National Bureau of Economic Research, 2024. http://dx.doi.org/10.3386/w32709.

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High, Steven, Lysiane Goulet Gervais, Michelle Duchesneau, and Dany Guay-Bélanger. Employment Mobility and Family Gentrification in Montreal. The Vanier Institute of the Family, 2017. https://doi.org/10.61959/jivr4683e.

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As Canada’s economy evolves, along with the opportunities and constraints it provides, family members adapt to fulfill their responsibilities at home and at work. For many family members, this can involve travelling long distances for work and being away from home for days, weeks or even months at a time. Since 2012, the On the Move Partnership1 has been exploring this phenomenon of employment-related geographic mobility (E-RGM) and has found that more Canadians than ever before are regularly commuting to work over longer distances in “complex and nuanced” patterns.2
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Halli, Shiva, Raluca Buzdugan, Ravi Verma, et al. Patterns of migration/mobility and HIV risk among female sex workers: Karnataka 2007-08. Population Council, 2008. http://dx.doi.org/10.31899/hiv4.1005.

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Saggurti, Niranjan, Vaishali Mahendra, Rajendra Singh, et al. Patterns of migration/mobility and HIV risk among female sex workers: Maharashtra 2007-08. Population Council, 2008. http://dx.doi.org/10.31899/hiv4.1006.

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