Author: John B. Lansing
Publisher:
ISBN:
Category : Travel
Languages : en
Pages : 124

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Book Description

Author: Christopher V. Forinash
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 198

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Author: John B. Lansing
Publisher:
ISBN: 9780598356628
Category :
Languages : en
Pages : 64

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Author: Sean Neely
Publisher:
ISBN:
Category :
Languages : en
Pages : 254

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Book Description
Long-distance and intercity travel generally make up a small portion of the total number of trips taken by an individual, while representing a large portion of aggregate distance traveled on the transportation system. While some research exists on intercity travel behavior between large metropolitan centers, this thesis addresses a need for more research on travel behavior between non-metropolitan areas and large metropolitan centers. This research specifically considers travel from home locations in northern New England, going to Boston, New York City, Philadelphia, and Washington, DC. These trips are important for quality of life, multimodal planning, and rural economies. This research identifies and quantifies factors that influence people’s mode choice (automobile, intercity bus, passenger rail, or commercial air travel) for these trips. The research uses survey questionnaire data, latent factor analysis, and discrete choice modeling methods. Factors include sociodemographic, built environment, latent attitudes, and trip characteristics. The survey, designed by the University of Vermont Transportation Research Center and the New England Transportation Institute, was conducted by Resource Systems Group, Inc. in 2014, with an initial sample size of 2560. Factor analysis was used to prepare 6 latent attitudinal factors, based on 70 attitudinal responses from the survey statements. The survey data were augmented with built environment variables using geographic information systems (GIS) analysis. A set of multinomial logit models, and a set of nested logit models, were estimated for business and non-business trip mode choice. Results indicate that for this type of travel, factors influencing mode choice for both business and non-business trips include trip distance; land use; personal use of technology; and latent attitudes about auto dependence, preference for automobile, and comfort with personal space and safety on public transportation. Gender is a less significant factor. Age is only significant for non-business trips. The results reinforce the importance and viability of modeling long-distance travel from less populated regions to large metropolitan areas, and the significant roles of trip distance, built environment, personal attitudes, and sociodemographic factors in how people choose to make these trips for different purposes. Future research should continue to improve these types of long-distance mode choice models by incorporating mode specific travel time and cost, developing more specific attitudinal statements to expand latent factor analysis, and further exploring built environment variables. Improving these models will promote better planning, engineering, operations, and infrastructure investment decisions in many regions and communities across the United States which have not yet been well studied, possibly impacting levels of service.

Author: Alan Grayson
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 42

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Author: Adib K. Kanafani
Publisher: McGraw-Hill Companies
ISBN:
Category : Business & Economics
Languages : en
Pages : 344

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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 10

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This paper reports and discusses the results of an effort to develop disaggregate behavioural mode choice models of intercity travel in Canada. Currently available data bases of intercity travel in Canada are reviewed. he feasibility of using data from national travel surveys to develop statistically reliable intercity mode choice models is examined, and directions for future disaggregate data collection efforts are offered. The models developed are of the multinomial logit (MNL) type which included all intercity passenger travel modes: auto, air, bus, and rail.

Author: Marc J. I. Gaudry
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 20

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Author: Carlos Daganzo
Publisher: Elsevier
ISBN: 1483299341
Category : Business & Economics
Languages : en
Pages : 239

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Multinomial Probit

Author: YAN. YU
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
The ongoing population growth is an essential driver to support the Greater Golden Horseshoe (GGH)'s long-term economic development and competitiveness, but it could also create substantial issues and challenges on the region's transportation system. The Ontario provincial government, as well as the municipal governments in the GGH, have been aware of the current high level of automobile dependency and its negative consequences on the region's socioeconomic development. Several collaborative initiatives have been being taken to diversify the existing transportation system and encourage the use of transit and active modes of transportation. This research aims to understand what are the factors that affect University of Waterloo students' intercity mode choice, and the significance levels of the identified influencing factors on their intercity mode choice between automobile modes (driving, carpooling, Uber and taxi) and non-automobile modes (bus and train). It also investigated the students' attitudes towards the proposed high-speed rail in Ontario and their intended behavior of using it when traveling between the Region of Waterloo and the Greater Toronto and Hamilton Area (GTHA). The results revealed that the students' intercity mode choice behavior varies according to their trip frequencies and their primary destinations in the GTHA, and whether or not having the Presto card and motor vehicle availability are the two most influential factors at the 1% significance level on their intercity mode choice. Moreover, the study also found the students have overall positive attitudes towards the high-speed rail in Ontario. Several recommendations were subsequently proposed based on the research findings, which focus on increasing the non-automobile mode share in the intercity travels and adequately engaging the university population in the planning process of the HSR project.