The impact of transportation demand management policies on commuting to college facilities: A case study at the University of Trieste, Italy

Rotaris, Lucia; Danielis, Romeo

doi:10.1016/j.tra.2014.06.011

Cited by 49 publications

(56 citation statements)

References 22 publications

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“…Survey based method related to revealed preference data when studying the existing travel behaviour (Dissanayake and Morikawa, 2010), and stated preference data using contingent valuation and choice experiment in studying new policy alternatives (e.g. Quarmby, 1967;Williams, 1978;Mackett, 2001;O'Fallon et al, 2004;De Witte et al, 2008;Shen, 2009;Amalia, 2010;Redman et al, 2013;Stathopoulos and Marcucci, 2014) and combination of revealed and stated preference data (see for example: Morikawa, 1989; Ben-Akiva and Morikawa, 1990;Hensher et al, 2011;Hensher et al, 2013;Louviere et al, 2000;Polydoropoulou and Ben-Akiva, 2001;Franses and Verhoef, 2002;Dissanayake and Morikawa, 2010;Rotaris and Danielis, 2014;Feo-Valero et al, 2014). In Malaysia, however, only a few known studies have tried to capture respondents' preferences for modal shift using stated preference data (e.g.…”

Section: Introductionmentioning

confidence: 99%

Are Malaysians eager to use their cars less? Forecasting mode choice behaviors under new policies

et al. 2016

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a b s t r a c tIn Malaysia, transportation accounts for almost 70% of carbon monoxide emissions. This study sought to discover whether intelligently changing policies for the private and public transport sectors can affect mode choice of private car owners in the Klang Valley, Malaysia. Results of a random parameter logit model identified the most significant parameters affecting respondents' utility measures. These were introducing a congestion fee in private transport mode; and also access, comfort and the frequency of the available public transport. Respondents' marginal value estimates showed that they are willing to pay up to 175% of their hourly wage to have a more frequent and more accessible public transport. Moreover, the value of travel time showed that persons with longer commute time by car and bus are willing to pay more to save travel time. This is estimated about 25-50% of hourly wage of respondents. Simulation of results indicate that introducing the congestion fee has the largest impact both in modal shift and in reducing the number of cars used in the Klang Valley area. Overall results of this study suggested that any government intervention through innovative transport policy implementation such as pricing and providing more efficient public transport could result in 70% modal shift among current car users to public transport.

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Section: Introductionmentioning

confidence: 99%

Are Malaysians eager to use their cars less? Forecasting mode choice behaviors under new policies

et al. 2016

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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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“…In the West, a great deal of research has been done on commuting theory and models [4][5][6][7], factors affecting commuting behavior [8][9][10], commuting and spatial imbalance [11][12][13], commuting effects [14][15][16], and other topics. At present, the research focus has shifted from simple facilities construction to residents' travel demand management [17][18][19]. Based on the western research experience, Chinese scholars have analyzed daily commuting in large cities, such as Beijing [20,21], Guangzhou [22,23], and Shanghai [24,25], and identified similarities and differences in commuting laws during the different backgrounds and stages of urban development in China and the West.…”

Section: Introductionmentioning

confidence: 99%

Study on the Characteristics of Urban Residents’ Commuting Behavior and Influencing Factors from the Perspective of Resilience Theory: Theoretical Construction and Empirical Analysis from Nanjing, China

Sun

Zhu

Jiang

2020

IJERPH

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In the transitional period of China’s urbanization, commuting problems and demands are diversified and multi-level, so commuting research topics, viewpoints, and analysis paths should be organically combined to dynamically adapt to the complex commuting contradictions. Based on this, this paper introduces the resilience theory to improve the research paradigm of commuting behavior. Taking Nanjing, China as a case study, with the help of the survey data of commuting behavior of typical communities, this paper provides an empirical analysis of the characteristics and influencing factors of urban residents’ commuting behavior from the perspective of resilience theory. The results show that: (1) in the face of commuting pressure, to a large extent, most commuters can still obtain commuting adaptability and a medium level or higher of commuting resilience; and (2) personal attributes, living and employment environment, and commuting environment all have significant heterogeneity effects on commuting pressure, commuting adaptability, and commuting resilience. From the perspective of resilience theory, the means of regulating commuting conflicts are flexible, which can not only directly reduce commuting pressure or optimize commuting adaptability, but also improve commuting resilience according to the specific commuting scenarios constructed by commuting pressure and adaptability. On the whole, the principles of comprehensive improvement, on-demand supply, and dynamic adjustment should be followed.

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The impact of transportation demand management policies on commuting to college facilities: A case study at the University of Trieste, Italy

Cited by 49 publications

References 22 publications

Are Malaysians eager to use their cars less? Forecasting mode choice behaviors under new policies

Are Malaysians eager to use their cars less? Forecasting mode choice behaviors under new policies

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

Study on the Characteristics of Urban Residents’ Commuting Behavior and Influencing Factors from the Perspective of Resilience Theory: Theoretical Construction and Empirical Analysis from Nanjing, China

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