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Network structure and the journey to work: An intra-metropolitan analysis

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  • Pavithra Parthasarathi
  • David Levinson

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

This paper aims to look at the variation of network structure within a metropolitan area and relate it to observed travel, measured here as the average travel time to work. The Minor Civil Divisions (MCD) within the Twin Cities (Minneapolis, St. Paul) metropolitan area are chosen for this analysis. Quantitative measures, compiled from various sources, are used to capture the various aspects of network structure within each MCD. The variation of these measures within the metropolitan area is analyzed using spatial analyses. The measures of network structure are then related to observed travel using statistical regression models. The results confirm a relation between network structure and travel and point to the importance of understanding the underlying street network structure.

Suggested Citation

  • Pavithra Parthasarathi & David Levinson, 2012. "Network structure and the journey to work: An intra-metropolitan analysis," Working Papers 000103, University of Minnesota: Nexus Research Group.
  • Handle: RePEc:nex:wpaper:networkstructureandthejourneytowork
    DOI: 10.1016/j.tra.2018.09.008
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    File URL: http://hdl.handle.net/11299/179817
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    References listed on IDEAS

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    2. Barroso, Joana Maia Fernandes & Albuquerque-Oliveira, João Lucas & Oliveira-Neto, Francisco Moraes, 2020. "Correlation analysis of day-to-day origin-destination flows and traffic volumes in urban networks," Journal of Transport Geography, Elsevier, vol. 89(C).
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    5. Zhou, You & Zhang, Lingzhu & JF Chiaradia, Alain, 2022. "Estimating wider economic impacts of transport infrastructure Investment: Evidence from accessibility disparity in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 220-235.
    6. Chen, Junlan & Pu, Ziyuan & Guo, Xiucheng & Cao, Jieyu & Zhang, Fang, 2023. "Multiperiod metro timetable optimization based on the complex network and dynamic travel demand," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).

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    More about this item

    Keywords

    network structure; journey to work; travel time; time perception; travel behavior;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

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