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Network structure and spatial separation

Author

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  • Pavithra Parthasarathi
  • Hartwig Hochmair
  • David Levinson

Abstract

This research aims to identify the role of network architecture in influencing individual travel behavior using travel survey data from Minneapolis-Saint Paul and Florida (Fort Lauderdale and Miami). Various measures of network structure, compiled from existing sources, are used to quantify roadway networks, and to capture the arrangement and connectivity of nodes and links in the networks and the spatial variations that exist among and within networks. The regression models show that travel behavior is correlated with network design. Keywords: network structure, travel behavior

Suggested Citation

  • Pavithra Parthasarathi & Hartwig Hochmair & David Levinson, 2012. "Network structure and spatial separation," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 39(1), pages 137-154, January.
  • Handle: RePEc:pio:envirb:v:39:y:2012:i:1:p:137-154
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    References listed on IDEAS

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    1. Feng Xie & David Levinson, 2005. "Measuring the Structure of Road Networks," Working Papers 200702, University of Minnesota: Nexus Research Group.
    2. 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.
    3. 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.
    4. Cervero, Robert & Radisch, Carolyn, 1996. "Travel choices in pedestrian versus automobile oriented neighborhoods," Transport Policy, Elsevier, vol. 3(3), pages 127-141, July.
    5. 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.
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    Citations

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    Cited by:

    1. Janson, Michael & Levinson, David, 2014. "HOT or not," Research in Transportation Economics, Elsevier, vol. 44(C), pages 21-32.
    2. 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.
    3. repec:eee:eejocm:v:24:y:2017:i:c:p:51-62 is not listed on IDEAS
    4. 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.
    5. Mengying Cui & David Levinson, 2015. "Accessibility and the Ring of Unreliability," Working Papers 000133, University of Minnesota: Nexus Research Group.
    6. Pavithra Parthasarathi & David Levinson & Hartwig Hochmair, 2012. "Network Structure and Travel Time Perception," Working Papers 000102, University of Minnesota: Nexus Research Group.

    More about this item

    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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