Spatiotemporal Patterns of Urban Human Mobility
The modeling of human mobility is adopting new directions due to the increasing availability of big data sources from human activity. These sources enclose digital information about daily visited locations of a large number of individuals. Examples of these data include: mobile phone calls, credit c...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | en_US |
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Springer Science+Business Media
2014
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| Online Access: | http://hdl.handle.net/1721.1/89404 https://orcid.org/0000-0002-8482-0318 |
| _version_ | 1826210128130473984 |
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| author | Hasan, Samiul Schneider, Christian M. Ukkusuri, Satish V. Gonzalez, Marta C. |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Hasan, Samiul Schneider, Christian M. Ukkusuri, Satish V. Gonzalez, Marta C. |
| author_sort | Hasan, Samiul |
| collection | MIT |
| description | The modeling of human mobility is adopting new directions due to the increasing availability of big data sources from human activity. These sources enclose digital information about daily visited locations of a large number of individuals. Examples of these data include: mobile phone calls, credit card transactions, bank notes dispersal, check-ins in internet applications, among several others. In this study, we consider the data obtained from smart subway fare card transactions to characterize and model urban mobility patterns. We present a simple mobility model for predicting peoples’ visited locations using the popularity of places in the city as an interaction parameter between different individuals. This ingredient is sufficient to reproduce several characteristics of the observed travel behavior such as: the number of trips between different locations in the city, the exploration of new places and the frequency of individual visits of a particular location. Moreover, we indicate the limitations of the proposed model and discuss open questions in the current state of the art statistical models of human mobility. |
| first_indexed | 2024-09-23T14:44:19Z |
| format | Article |
| id | mit-1721.1/89404 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:44:19Z |
| publishDate | 2014 |
| publisher | Springer Science+Business Media |
| record_format | dspace |
| spelling | mit-1721.1/894042022-10-01T22:10:53Z Spatiotemporal Patterns of Urban Human Mobility Hasan, Samiul Schneider, Christian M. Ukkusuri, Satish V. Gonzalez, Marta C. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Schneider, Christian M. Gonzalez, Marta C. The modeling of human mobility is adopting new directions due to the increasing availability of big data sources from human activity. These sources enclose digital information about daily visited locations of a large number of individuals. Examples of these data include: mobile phone calls, credit card transactions, bank notes dispersal, check-ins in internet applications, among several others. In this study, we consider the data obtained from smart subway fare card transactions to characterize and model urban mobility patterns. We present a simple mobility model for predicting peoples’ visited locations using the popularity of places in the city as an interaction parameter between different individuals. This ingredient is sufficient to reproduce several characteristics of the observed travel behavior such as: the number of trips between different locations in the city, the exploration of new places and the frequency of individual visits of a particular location. Moreover, we indicate the limitations of the proposed model and discuss open questions in the current state of the art statistical models of human mobility. 2014-09-09T20:36:20Z 2014-09-09T20:36:20Z 2012-12 2012-08 Article http://purl.org/eprint/type/JournalArticle 0022-4715 1572-9613 http://hdl.handle.net/1721.1/89404 Hasan, Samiul, Christian M. Schneider, Satish V. Ukkusuri, and Marta C. González. “Spatiotemporal Patterns of Urban Human Mobility.” J Stat Phys 151, no. 1–2 (December 7, 2012): 304–318. https://orcid.org/0000-0002-8482-0318 en_US http://dx.doi.org/10.1007/s10955-012-0645-0 Journal of Statistical Physics Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer Science+Business Media MIT web domain |
| spellingShingle | Hasan, Samiul Schneider, Christian M. Ukkusuri, Satish V. Gonzalez, Marta C. Spatiotemporal Patterns of Urban Human Mobility |
| title | Spatiotemporal Patterns of Urban Human Mobility |
| title_full | Spatiotemporal Patterns of Urban Human Mobility |
| title_fullStr | Spatiotemporal Patterns of Urban Human Mobility |
| title_full_unstemmed | Spatiotemporal Patterns of Urban Human Mobility |
| title_short | Spatiotemporal Patterns of Urban Human Mobility |
| title_sort | spatiotemporal patterns of urban human mobility |
| url | http://hdl.handle.net/1721.1/89404 https://orcid.org/0000-0002-8482-0318 |
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