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Network Structure and Spatial Separation

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Abstract

The objective of this research is to identify the role of network architecture in influencing individual travel behavior using travel survey data from two urban areas in Florida: Fort Lauderdale and Miami. Various measures of network structure, compiled from existing sources, are used to quantify roadway networks, capture the arrangement and connectivity of nodes and links in the networks and the temporal and spatial variations that exist among and within networks. The results from the regression models estimated show that network design influences how people travel and make decisions. Results from this analysis can be used to understand how changes in network can be used to bring about desired changes in travel behavior.

Suggested Citation

  • Pavithra Parthasarathi & Hartwig Hochmair & David Levinson, 2009. "Network Structure and Spatial Separation," Working Papers 000069, University of Minnesota: Nexus Research Group.
  • Handle: RePEc:nex:wpaper:networkstructuretraveldistance
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    File URL: http://hdl.handle.net/11299/180021
    File Function: Second version, 2012
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    References listed on IDEAS

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    1. Cervero, Robert & Radisch, Carolyn, 1996. "Travel choices in pedestrian versus automobile oriented neighborhoods," Transport Policy, Elsevier, vol. 3(3), pages 127-141, July.
    2. Bin Jiang & Christophe Claramunt, 2004. "Topological analysis of urban street networks," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 31(1), pages 151-162, January.
    3. Ballou, Ronald H. & Rahardja, Handoko & Sakai, Noriaki, 2002. "Selected country circuity factors for road travel distance estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(9), pages 843-848, November.
    4. Feng Xie & David Levinson, 2005. "Measuring the Structure of Road Networks," Working Papers 200702, University of Minnesota: Nexus Research Group.
    5. Boarnet, Marlon & Crane, Randall, 2001. "The influence of land use on travel behavior: specification and estimation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 823-845, November.
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    Cited by:

    1. repec:eee:transa:v:118:y:2018:i:c:p:292-304 is not listed on IDEAS
    2. Mengying Cui & David Levinson, 2015. "Accessibility and the Ring of Unreliability," Working Papers 000133, University of Minnesota: Nexus Research Group.
    3. Janson, Michael & Levinson, David, 2014. "HOT or not," Research in Transportation Economics, Elsevier, vol. 44(C), pages 21-32.
    4. repec:kap:transp:v:45:y:2018:i:4:d:10.1007_s11116-017-9837-4 is not listed on IDEAS
    5. Katrien Ramaekers & Sofie Reumers & Geert Wets & Mario Cools, 2013. "Modelling Route Choice Decisions of Car Travellers Using Combined GPS and Diary Data," Networks and Spatial Economics, Springer, vol. 13(3), pages 351-372, September.
    6. repec:eee:eejocm:v:24:y:2017:i:c:p:51-62 is not listed on IDEAS
    7. Pavithra Parthasarathi & David Levinson & Hartwig Hochmair, 2012. "Network Structure and Travel Time Perception," Working Papers 000102, University of Minnesota: Nexus Research Group.
    8. Mengying Cui & David Levinson, 2018. "Accessibility analysis of risk severity," Transportation, Springer, vol. 45(4), pages 1029-1050, July.
    9. Parthasarathi, Pavithra & Levinson, David, 2018. "Network structure and the journey to work: An intra-metropolitan analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 292-304.
    10. Huang, Arthur & Levinson, David, 2017. "A model of two-destination choice in trip chains with GPS data," Journal of choice modelling, Elsevier, vol. 24(C), pages 51-62.
    11. repec:eee:jotrge:v:43:y:2015:i:c:p:160-170 is not listed on IDEAS
    12. repec:eee:jotrge:v:75:y:2019:i:c:p:58-69 is not listed on IDEAS

    More about this item

    Keywords

    Network structure; travel behavior; transport geography; commuting; circuity;

    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
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

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