Showing 1 - 9 of 9
Anecdotal and empirical evidence has shown that road networks, destination accessibility, and travelers' choice of destination are closely related. Nevertheless, there have not been systematic investigations linking individuals' travel behavior and retail clusters at the microscopic level. Based...
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Over the past two decades many papers have been published on the impact of Information and Communication Technologies (ICT) on travel behavior, but the literature focusing on the impact of ICT on accessibility is relatively scarce. In this paper we give an overview of the impact of ICT on four...
Persistent link: https://www.econbiz.de/10010840405
This project conceptually and empirically explores the complex relationship between congestion and accessibility. While congestion alters individual access to opportunities, its effects vary significantly across people, places, and time - variations that remain relatively understudied. This...
Persistent link: https://www.econbiz.de/10011131087
The factors influencing commute mode choice are a subject of ongoing research and policy. Existing literature explores a wide range of factors which may influence mode choice; many of these focus on demographic factors as well as user preferences and perception, thereby highlighting the unique...
Persistent link: https://www.econbiz.de/10010562357
This paper presents the results of an investigation into the factors contributing to toll lane subscription choice using data from the MnPASS HOT lane system operated by the Minnesota Department of Transportation. A binomial logit model is estimated which predicts the likelihood that a household...
Persistent link: https://www.econbiz.de/10010684847
This paper presents the results of an accessibility-based model of aggregate commute mode share, focusing on the share of transit relative to auto. It demonstrates the use of continuous accessibility — calculated continuously in time, rather than at a single or a few departure times...
Persistent link: https://www.econbiz.de/10010684849
This research develops quantitative measures that capture various aspects of underlying network structure, using aggregate level travel data from fifty metropolitan areas across the U.S. The influence of these measures on system performance is then tested using statistical regression models. The...
Persistent link: https://www.econbiz.de/10008548688