
doi: 10.1068/b36139
handle: 11299/180021
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.
transport geography, Network structure, travel behavior, transport geography, commuting, circuity, travel behavior, commuting, Network structure, circuity, jel: jel:D85, jel: jel:R42, jel: jel:R41, jel: jel:R52, jel: jel:R14, jel: jel:R48
transport geography, Network structure, travel behavior, transport geography, commuting, circuity, travel behavior, commuting, Network structure, circuity, jel: jel:D85, jel: jel:R42, jel: jel:R41, jel: jel:R52, jel: jel:R14, jel: jel:R48
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 24 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
