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.
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Paper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number
000069.
Length: Date of creation: 2009 Date of revision: Publication status: Published in working paper Handle: RePEc:nex:wpaper:networkstructuretraveldistance
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Find related papers by JEL classification: R41 - Urban, Rural, and Regional Economics - - Transportation Systems - - - Transportation: Demand, Supply, and Congestion R42 - Urban, Rural, and Regional Economics - - Transportation Systems - - - Government and Private Investment Analysis R48 - Urban, Rural, and Regional Economics - - Transportation Systems - - - Government Pricing; Regulatory Policies D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation R14 - Urban, Rural, and Regional Economics - - General Regional Economics - - - Land Use Patterns R52 - Urban, Rural, and Regional Economics - - Regional Government Analysis - - - Land Use and Other Regulations
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