Abstract
Despite the growing availability of big mobility data in cities, methodologies to extract meaningful information from them are still scarce. In this paper, we investigate taxi trips in New York City, develop a large-scale weighted and directed mobility network, and apply a macroscopic methodology to extract the spatial-temporal structure of urban mobility. We also present a new approach to study weighted networks of mobility in which links in the network have journey speed or travel time attribute in addition to commonly used link weights representing number of trips between pairs of nodes. We show that the structure of mobility network in a city when temporal characteristics and variations are taken into account exhibit different properties than what was previously observed. Results provide a better understanding of mobility characteristics in cities.
Original language | English |
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Title of host publication | IFAC-PapersOnLine |
Subtitle of host publication | 20th IFAC World Congress |
Editors | Denis Dochain, Didier Henrion, Dimitri Peaucelle |
Place of Publication | Amsterdam Netherlands |
Publisher | Elsevier - International Federation of Automatic Control (IFAC) |
Pages | 9432-9437 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Jul 2017 |
Event | International Federation of Automatic Control World Congress 2017 - Toulouse, France Duration: 9 Jul 2017 → 14 Jul 2017 Conference number: 20th https://www.ifac2017.org/ |
Publication series
Name | IFAC-PapersOnLine |
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Publisher | Elsevier - International Federation of Automatic Control (IFAC) |
Number | 1 |
Volume | 50 |
ISSN (Print) | 2405-8963 |
Conference
Conference | International Federation of Automatic Control World Congress 2017 |
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Abbreviated title | IFAC 2017 |
Country | France |
City | Toulouse |
Period | 9/07/17 → 14/07/17 |
Internet address |
Keywords
- Big Data
- Parsimonious Modeling
- Power Law
- Taxi
- Urban Mobility