Coping with congestion: Understanding the role of simultaneous transportation demand management policies on commuters

Habibian, Meeghat; Kermanshah, Mohammad

doi:10.1016/j.tranpol.2013.09.009

Cited by 44 publications

(15 citation statements)

References 31 publications

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“…In order to limit the present review to a manageable scope, we present only two examples per kind of benefit. Many other examples aimed at understanding the role of transportation demand management policies on commuters are found in the literature (see for instance Cass and Faulconbridge, 2016;Habibian and Kermanshah, 2013;Rotaris and Danielis, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding the effects of transit benefits on employees’ travel behavior: Evidence from the New York-New Jersey region

Bueno

Gómez

Peters

et al. 2017

Transportation Research Part A: Policy and Practice

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Implementing effective travel demand management measures provides an opportunity to reduce transport dependence on the private car. There is growing acknowledgement that the strategy of implementing transit benefits may boost transit ridership and reduce personal vehicle use. This research contributes to the understanding of this issue by examining the relationship between commuter benefits and mode choice for commuting trips in the states of New York and New Jersey (US). Based on individual data from the Regional Household Travel Survey conducted by the New York Metropolitan Transportation Council and North Jersey Transportation Planning Authority, we adopted a multinomial logit model to identify the extent to which transport benefits to employees-including public transport-related, private transport-related and benefits for walking and cyclingpromote changes in commuters' modal split. The analysis shows that commuter benefits play a significant role in explaining observed travel patterns. Benefit programs that pay for auto expenses (e.g. toll payments, mileage reimbursement, free parking) are negatively correlated with transit, biking, and walking, while employer-funded benefit programs for transit passes and bike reimbursements increase their respective mode shares. This result confirms that promoting these types of measures is an effective policy to encourage the use of public transport modes, thus increasing efficiency and sustainability in daily mobility patterns.

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Section: Literature Reviewmentioning

confidence: 99%

Understanding the effects of transit benefits on employees’ travel behavior: Evidence from the New York-New Jersey region

Bueno

Gómez

Peters

et al. 2017

Transportation Research Part A: Policy and Practice

View full text Add to dashboard Cite

show abstract

“…The existing research on motivation in travel choice primarily focuses on three ideas. First, the traffic demand management policies, such as increasing parking fees, increasing fuel use costs and charging congestion charges are adopted to encourage residents to change their travel choice [14][15][16][17]. The second idea is derived from the external and objective factors that affect travel choice, such as urban planning, environmental characteristics, land use, etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Can Negative Travel Habits Hinder Positive Travel Behavioural Change under Beijing Vehicle Restrictions?

Dong

Wang

Zhou

2020

PROMET

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Given the rapid development of large cities, the residents faced with pressure both at work and in their personal lives tend to solidify their choice of transport modes and form personal travel habits, which in turn leads to higher requirements for urban traffic management. Based on the modified Theory of Planned Behaviour, the structural equation method is employed to explore people’s travel behaviour. It is found that policy attitude, perceived behaviour control, and subjective norms comprehensively affect the residents’ travel intentions under the Vehicle Restrictions in place in Beijing. The residents without private cars display a stronger intention to change their travel choices under the policies. When considering the mediating effect of travel habits between travel intention and travel choice, the impact of the restrictive policies is weakened. Compared with lower-income people, those with higher incomes demonstrate more stable travel habits in response to the effects of the restrictions. The higher the income, the greater the dependence on private cars exhibited by the residents. To summarize, people’s travel habits weaken to some extent the effects of the restrictive policies. Such policies should be created with the explicit aim of gradually changing the people’s habits.

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“…Based on analyzing the influencing factors of rail transit and bus traffic attraction, Mark and Vladimir [24] built a competition model between rail transit and regular bus. Eriksson and Nordlund [25][26][27] studied two traffic policies that increased fuel taxes and increased public transport services. e effect of two policies on reducing the use of cars was not significant.…”

Section: Introductionmentioning

confidence: 99%

Traffic Structure Optimization in Historic Districts Based on Green Transportation and Sustainable Development Concept

Wang

Sun

2019

Advances in Civil Engineering

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To perform the reasonable traffic structure in the historical districts and effectively alleviate the contradiction between limited traffic supply and rapid growth of the traffic demand in historical districts, a dynamic game model of traffic competition is established in this paper, aiming at the green transportation and sustainable development. Firstly, the logit model reflecting the sharing rate of the traffic mode is established by using the generalized cost method to quantify all the factors that influence the travel mode selection. Accordingly, a dynamic game model of complete information is established for the trip mode of historical districts, taking into account the economic sustainability, environmental sustainability, and social sustainability of the traffic development. The model is based on the goal of maximizing the generalized profit, and modeling with environmental pollution, energy utilization, and road service level as the common constraints of various traffic modes. By iterating the Nash equilibrium solution of the model, the optimal structure and the optimal share of the traffic modes in the historical districts can be predicted. Finally, the model presented in the study is verified by the historical districts of Academy Street in Zhengzhou city, China, and the optimal structure and optimal traffic share of each traffic mode in the block are obtained. By changing the constraint conditions of the model, two sets of different governance policies are compared and analyzed, and some feasible suggestions on improvement of traffic structure are also put forward. The research results can be the important reference for traffic planning in historic districts.

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Coping with congestion: Understanding the role of simultaneous transportation demand management policies on commuters

Cited by 44 publications

References 31 publications

Understanding the effects of transit benefits on employees’ travel behavior: Evidence from the New York-New Jersey region

Understanding the effects of transit benefits on employees’ travel behavior: Evidence from the New York-New Jersey region

Can Negative Travel Habits Hinder Positive Travel Behavioural Change under Beijing Vehicle Restrictions?

Traffic Structure Optimization in Historic Districts Based on Green Transportation and Sustainable Development Concept

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