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 |
|---|---|
| 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 |
|---|---|
| Publisher | Elsevier |
| Number | 1 |
| Volume | 50 |
| ISSN (Print) | 2405-8963 |
Conference
| Conference | International Federation of Automatic Control World Congress 2017 |
|---|---|
| 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
Cite this
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A complex network analysis of macroscopic structure of taxi trips. / Hamedmoghadam-Rafati, Homayoun; Steponavice, Ingrida; Ramezani, Mohsen; Saberi, Meead.
IFAC-PapersOnLine: 20th IFAC World Congress. ed. / Denis Dochain; Didier Henrion; Dimitri Peaucelle. Amsterdam Netherlands : Elsevier - International Federation of Automatic Control (IFAC), 2017. p. 9432-9437 (IFAC-PapersOnLine; Vol. 50, No. 1), (IFAC-PapersOnLine).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - A complex network analysis of macroscopic structure of taxi trips
AU - Hamedmoghadam-Rafati, Homayoun
AU - Steponavice, Ingrida
AU - Ramezani, Mohsen
AU - Saberi, Meead
PY - 2017/7/1
Y1 - 2017/7/1
N2 - 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.
AB - 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.
KW - Big Data
KW - Parsimonious Modeling
KW - Power Law
KW - Taxi
KW - Urban Mobility
UR - http://www.scopus.com/inward/record.url?scp=85031769715&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2017.08.1462
DO - 10.1016/j.ifacol.2017.08.1462
M3 - Conference Paper
T3 - IFAC-PapersOnLine
SP - 9432
EP - 9437
BT - IFAC-PapersOnLine
A2 - Dochain, Denis
A2 - Henrion, Didier
A2 - Peaucelle, Dimitri
PB - Elsevier - International Federation of Automatic Control (IFAC)
CY - Amsterdam Netherlands
ER -