Modeling travel choices of students at a private, urban university: Insights and policy implications

Danaf, Mazen; Abou-Zeid, Maya; Kaysi, Isam

doi:10.1016/j.cstp.2014.08.006

Cited by 120 publications

(77 citation statements)

References 13 publications

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“…In this case, a thorough bibliographic review was made of the national and international literature (e.g. Danaf et al (2014)). A series Focus Groups (FG) were also hold (Ritchie et al, 2013) to allow the agents involved to voice their opinions about the different aspects of mobility at a university campus and about the variables they considered to be important when they chose which mode of transport to use.…”

Section: Background Work Defining the Problem And Quantitative And Qmentioning

confidence: 99%

A methodology based on parking policy to promote sustainable mobility in college campuses

et al. 2019

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Many university campuses are suffering from serious mobility problems resulting from excessive use of the private car by students, teachers and administrative staff. This article proposes a methodology based on a revealed and stated preferences survey aimed at estimating the importance of different variables on users mobility choices in order to simulate their reaction to policies such as the introduction of new modes of transport or charging for on campus parking. This estimation was based on a Mixed Logit model considering the possible presence of heterogeneity in user preferences. The introduction of these results into an optimization model has also allowed us to calculate the optimal parking fare that should be charged which would minimize the number of free spaces on campus or maximize the income received. This methodology has been applied to a case study at the campus of the University of Cantabria (Spain). The elasticities calculated using a Mixed Logit model confirm that setting a fare for parking on campus would be a serious disincentive against private car use in favor of more sustainable transport modes. Furthermore, the optimization model allowed us to calculate the fare that would maximize the income obtained from the parking spaces, an income that could then be used to strengthen the campus sustainable mobility policies.

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Section: Background Work Defining the Problem And Quantitative And Qmentioning

confidence: 99%

A methodology based on parking policy to promote sustainable mobility in college campuses

et al. 2019

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“…Using a discrete choice experiment we analyze the effects of weather (temperature, rain, and snow), cycling time, slope, cycling facilities ("bike paths"), and traffic on cycling decisions by members of the community of Cornell University. We note that analyzing commuting patterns in university campuses has become a relevant case study for better understanding adoption of sustainable transportation (Shannon et al, 2006;Akar et al, 2012;Akar et al, 2013;Whalen et al, 2013;Danaf et al, 2014;Rotaris and Danielis, 2014;Erdogan et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand

Motoaki

Daziano

2015

Transportation Research Part A: Policy and Practice

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In this paper we analyze demand for cycling using a discrete choice model with latent variables and a discrete heterogeneity distribution for the taste parameters. More specifically, we use a hybrid choice model where latent variables not only enter into utility but also inform assignment to latent classes. Using a discrete choice experiment we analyze the effects of weather (temperature, rain, and snow), cycling time, slope, cycling facilities (bike lanes), and traffic on cycling decisions by members of Cornell University (in an area with cold and snowy winters and hilly topography). We show that cyclists can be separated into two segments based on a latent factor that summarizes cycling skills and experience. Specifically, cyclists with more skills and experience are less affected by adverse weather conditions. By deriving the median of the ratio of the marginal rate of substitution for the two classes, we show that rain deters cyclists with lower skills from bicycling 2.5 times more strongly than those with better cycling skills. The median effects also show that snow is almost 4 times more deterrent to the class of less experienced cyclists. We also model the effect of external restrictions (accidents, crime, mechanical problems) and physical condition as latent factors affecting cycling choices.

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“…De esta forma, el análisis de la elección modal de transporte en este numeroso e importante grupo poblacional aporta información valiosa que permite mejorar la comprensión de los aspectos que influyen en la movilidad sostenible. Danaf et al (2014) afirman que la elección del modo de transporte por parte de los estudiantes tiene un impacto en el nivel de congestión y las necesidades de estacionamiento en el vecindario universitario. Estas consideraciones son de particular importancia cuando grandes universidades se encuentran en zonas urbanas críticas.…”

Section: Resultsunclassified

Determinantes de elección modal del transporte en estudiantes universitarios: un análisis de la literatura actual

Clavijo¹

2017

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5Resumen L a movilidad es una de las actividades humanas más relevantes de las ciudades.Particularmente, la movilidad de estudiantes universitarios es compleja, única, e impacta en la planificación y dinámica económica de las urbes. Consecuentemente, entender el comportamiento de esta población en la elección de transporte puede ayudar a las universidades y a diferentes actores de la sociedad en la toma de decisiones para promover políticas que fomenten el uso de transporte sostenible. En el presente artículo se realizó un estudio de la literatura actual, con el fin de identificar los principales determinantes de elección modal del transporte en estudiantes universitarios. Palabras clave: Elección modos de transporte, estudiantes universitarios, planificación urbana AbstractMobility is one of the most relevant human activities of modern cities. Particularly, university students' mobility is complex, unique, and has an impact on the planning and economic dynamics of cities. For this reason, understanding the travel behaviour of students and their transport mode choice can help universities and the different stakeholders in the decision-making process, to promote urban policies and encourage the use of sustainable transport modes. In the present article, a study of the actual literature was carried out, in order to identify the main determinants of the transport mode choice of university students.

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Modeling travel choices of students at a private, urban university: Insights and policy implications

Cited by 120 publications

References 13 publications

A methodology based on parking policy to promote sustainable mobility in college campuses

A methodology based on parking policy to promote sustainable mobility in college campuses

A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand

Determinantes de elección modal del transporte en estudiantes universitarios: un análisis de la literatura actual

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