A complex network analysis of macroscopic structure of taxi trips

Homayoun Hamedmoghadam-Rafati, Ingrida Steponavice, Mohsen Ramezani, Meead Saberi

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)

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 languageEnglish
Title of host publicationIFAC-PapersOnLine
Subtitle of host publication20th IFAC World Congress
EditorsDenis Dochain, Didier Henrion, Dimitri Peaucelle
Place of PublicationAmsterdam Netherlands
PublisherElsevier - International Federation of Automatic Control (IFAC)
Pages9432-9437
Number of pages6
DOIs
Publication statusPublished - 1 Jul 2017
EventInternational Federation of Automatic Control World Congress 2017 - Toulouse, France
Duration: 9 Jul 201714 Jul 2017
Conference number: 20th
https://www.ifac2017.org/

Publication series

NameIFAC-PapersOnLine
PublisherElsevier
Number1
Volume50
ISSN (Print)2405-8963

Conference

ConferenceInternational Federation of Automatic Control World Congress 2017
Abbreviated titleIFAC 2017
CountryFrance
CityToulouse
Period9/07/1714/07/17
Internet address

Keywords

  • Big Data
  • Parsimonious Modeling
  • Power Law
  • Taxi
  • Urban Mobility

Cite this

Hamedmoghadam-Rafati, H., Steponavice, I., Ramezani, M., & Saberi, M. (2017). A complex network analysis of macroscopic structure of taxi trips. In D. Dochain, D. Henrion, & D. Peaucelle (Eds.), IFAC-PapersOnLine: 20th IFAC World Congress (pp. 9432-9437). (IFAC-PapersOnLine; Vol. 50, No. 1). Amsterdam Netherlands: Elsevier - International Federation of Automatic Control (IFAC). IFAC-PapersOnLine https://doi.org/10.1016/j.ifacol.2017.08.1462
Hamedmoghadam-Rafati, Homayoun ; Steponavice, Ingrida ; Ramezani, Mohsen ; Saberi, Meead. / A complex network analysis of macroscopic structure of taxi trips. IFAC-PapersOnLine: 20th IFAC World Congress. editor / Denis Dochain ; Didier Henrion ; Dimitri Peaucelle. Amsterdam Netherlands : Elsevier - International Federation of Automatic Control (IFAC), 2017. pp. 9432-9437 (IFAC-PapersOnLine; 1). (IFAC-PapersOnLine).
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title = "A complex network analysis of macroscopic structure of taxi trips",
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.",
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Hamedmoghadam-Rafati, H, Steponavice, I, Ramezani, M & Saberi, M 2017, A complex network analysis of macroscopic structure of taxi trips. in D Dochain, D Henrion & D Peaucelle (eds), IFAC-PapersOnLine: 20th IFAC World Congress. IFAC-PapersOnLine, no. 1, vol. 50, Elsevier - International Federation of Automatic Control (IFAC), Amsterdam Netherlands, IFAC-PapersOnLine, pp. 9432-9437, International Federation of Automatic Control World Congress 2017, Toulouse, France, 9/07/17. https://doi.org/10.1016/j.ifacol.2017.08.1462

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 proceedingConference PaperResearchpeer-review

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T1 - A complex network analysis of macroscopic structure of taxi trips

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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.

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Hamedmoghadam-Rafati H, Steponavice I, Ramezani M, Saberi M. A complex network analysis of macroscopic structure of taxi trips. In Dochain D, Henrion D, Peaucelle D, editors, IFAC-PapersOnLine: 20th IFAC World Congress. Amsterdam Netherlands: Elsevier - International Federation of Automatic Control (IFAC). 2017. p. 9432-9437. (IFAC-PapersOnLine; 1). (IFAC-PapersOnLine). https://doi.org/10.1016/j.ifacol.2017.08.1462