Transportation Research Part A Policy and Practice (TRANSPORT RES A-POL)

Publications in this journal

• Article: Assessing the quality of intercity road transportationof passengers: An exploratory study in Brazil

  André Luís Policani Freitas
  Transportation Research Part A Policy and Practice 02/2013; 39:379-392.
• Article: Modeling pedestrian queuing using micro-simulation

  Inhi Kim, Ronald Galiza, Luis Ferreira
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  ABSTRACT: The system considered is a cinema ticketing booth system. A general simulation algorithm is presented as well as the system’s operating characteristics. The results of the experiment were verified by comparing them with video observation data and theoretical values. Finally, with comparative analysis of experiment data, the developed simulation model was able to replicate the situation in which pedestrians find an available booth to occupy while waiting in a queue. The model can facilitate the availability of various pedestrian flows and a range of operating times. With some efforts of computer programming, the situations where multiple booths are available were simulated to identify pedestrian movement. The developed simulation model captures important details, such as travel time, wait time, queue length and the number of waiting pedestrians with the different number of pedestrian flows and booths. The paper presents a means to designing the pedestrian operation and plan on the basis of the estimated number of people.
  Transportation Research Part A Policy and Practice 01/2013; 49:232-240.
• Article: Psychometric analysis of the satisfaction with travel scale

  Friman, Fujii, Ettema, Gärling, Olsson
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  ABSTRACT: Confirmatory factor analyses are used to examine the psychometric properties of the satisfaction with travel scale (STS), including tests of measurement invariance across urban areas and travel modes (car, public transport and slow modes). The data set consists of questionnaire responses from random samples of residents of Sweden’s three largest urban areas. A theoretically supported, one-factor second-order measurement model with three separate constructs received empirical support in analyses of satisfaction with daily travel in general, satisfaction with the commute to work, and satisfaction with the commute from work in the different urban areas and with different travel modes. On the three first-order factors, high loadings were as expected obtained on scales involving cognitive evaluations (e.g. “low vs. high standard”) and affective evaluations with respect to positive deactivation (e.g. “relaxed vs. stressed”) and positive activation (e.g. “alert vs. tired”). Satisfaction with daily travel in general differed significantly in the largest urban area from the medium-large urban area and the smallest urban area. The results also revealed that commuters travelling by bicycle or on foot are more satisfied with their work commute than people using other travel modes.
  Transportation Research Part A Policy and Practice 10/2012;
• Article: A justice-theoretic approach to the distribution of transportation benefits: implications for transportation planning practice in the United States

  Karel Martens, Aaron Golub, Glenn Robinson
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  ABSTRACT: Transportation improvements inevitably lead to an uneven distribution of user benefits, in space and by network type (private and public transport). This paper makes a moral argument for what would be a fair distribution of these benefits. The argument follows Walzer’s “Spheres of Justice” approach to define the benefits of transportation, access, as a sphere deserving a separate, non-market driven, distribution. That distribution, we propose, is one where the maximum gap between the lowest and highest accessibility, both by mode and in space, should be limited, while attempting to maximize average access. We then review transportation planning practice for a-priori distributional goals and find little explicit guidance in conventional and even justice-oriented transportation planning and analyses. We end with a discussion of the implications for practice.
  Transportation Research Part A Policy and Practice 01/2012; 46(4):684-695.
• Article: Labour market effects in assessing the costs and benefits of road pricing

  D.P. McArthur, I. Thorsen, J. Ubøe
  Transportation Research Part A Policy and Practice 01/2012; 46(2):310-321.
• Article: Mainstream consumers driving plug-in battery-electric and plug-in hybrid electric cars: A qualitative analysis of responses and evaluations

  Ella Graham-Rowe, Benjamin Gardner, Charles Abraham, Stephen Skippon, Helga Dittmar, Rebecca Hutchins, Jenny Stannard
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  ABSTRACT: Plug-in electric vehicles can potentially emit substantially lower CO2 emissions than internal combustion engine vehicles, and so have the potential to reduce transport emissions without curtailing personal car use. Assessing the potential uptake of these new categories of vehicles requires an understanding of likely consumer responses. Previous in-depth explorations of appraisals and evaluations of electric vehicles have tended to focus on ‘early adopters’, who may not represent mainstream consumers. This paper reports a qualitative analysis of responses to electric cars, based on semi-structured interviews conducted with 40 UK non-commercial drivers (20 males, 20 females; age 24–70 years) at the end of a seven-day period of using a battery electric car (20 participants) or a plug-in hybrid car (20 participants). Six core categories of response were identified: (1) cost minimisation; (2) vehicle confidence; (3) vehicle adaptation demands; (4) environmental beliefs; (5) impression management; and, underpinning all other categories, (6) the perception of electric cars generally as ‘work in progress’ products. Results highlight potential barriers to the uptake of current-generation (2010) plug-in electric cars by mainstream consumers. These include the prioritization of personal mobility needs over environmental benefits, concerns over the social desirability of electric vehicle use, and the expectation that rapid technological and infrastructural developments will make current models obsolete. Implications for the potential uptake of future electric vehicles are discussed.
  Transportation Research Part A Policy and Practice 01/2012; 46(1):140-153.
• Article: Home-to-work commuting, urban form and potential energy savings: A local scale approach to regional statistics

  S Dujardin, F Pirart, F Brévers, A F Marique, J Teller
  Transportation Research Part A Policy and Practice 01/2012; 46(7):1054-1065.
• Article: Vulnerability analysis for large-scale and congested road networks with demand uncertainty

  B. Y. Chen, W. H. K. Lam, A. Sumalee, Q. Q. Li, Z. C. Li
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  ABSTRACT: To assess the vulnerability of congested road networks, the commonly used full network scan approach is to evaluate all possible scenarios of link closure using a form of traffic assignment. This approach can be computationally burdensome and may not be viable for identifying the most critical links in large-scale networks. In this study, an "impact area" vulnerability analysis approach is proposed to evaluate the consequences of a link closure within its impact area instead of the whole network. The proposed approach can significantly reduce the search space for determining the most critical links in large-scale networks. In addition, a new vulnerability index is introduced to examine properly the consequences of a link closure. The effects of demand uncertainty and heterogeneous travellers' risk-taking behaviour are explicitly considered. Numerical results for two different road networks show that in practice the proposed approach is more efficient than traditional full scan approach for identifying the same set of critical links. Numerical results also demonstrate that both stochastic demand and travellers' risk-taking behaviour have significant impacts on network vulnerability analysis, especially under high network congestion and large demand variations. Ignoring their impacts can underestimate the consequences of link closures and misidentify the most critical links. (C) 2011 Elsevier Ltd. All rights reserved.
  Transportation Research Part A Policy and Practice 01/2012; 46(3):501-516.
• Article: Induced road traffic in Spanish regions: A dynamic panel data model

  Rosa Marina González, Gustavo A. Marrero
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  ABSTRACT: This paper tests the hypothesis of induced transport demand for Spanish regions. ► Using dynamic panel data model, results are sensitive to the estimating method utilized. ► Using an appropriate GMM-based method, strong proof is found in favor of induced demand. ► The estimated short-term elasticity is 0.12, while the long-run one is almost 0.25. ► Fuel price policies seem to be very effective to reduce road traffic in Spain.
  Transportation Research Part A Policy and Practice 01/2012; Volumen 46(issue 3):435-445.
• Article: Co-benefits? Not always. Quantifying the negative effect of a CO2-reducing car taxation policy on NOx emissions

  Stephan Leinert, Hannah E Daly, Bernard Hyde, B.P. Ó Gallachóir
  Transportation Research Part A Policy and Practice 01/2012; Submitted on July 26th, 2012.
• Article: Out-of-home activities, daily travel, and subjective well-being

  Ettema D, Gärling T, Olsson L. E, Friman M
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  ABSTRACT: It is argued that utility theory that underpins current cost-benefit analyses of daily travel needs to be complemented. An alternative theoretical framework is to this end proposed which applies subjective well-being (SWB) to travel behaviour analysis. It is posited in this theoretical framework that participation in goal-directed activities, facilitated or hindered by travel, contributes to SWB, that the degree of travel-related stress in participating in these activities reduces SWB, and that positive affect associated with travel in itself has an impact on SWB.
  Transportation Research Part A Policy and Practice 11/2010; 44(9):723-732.
• Article: A model to design a national high-speed rail network for freight distribution

  Jennifer A. Pazour, Russell D. Meller, Letitia M. Pohl
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  ABSTRACT: High-speed rail is often touted as a means to reduce congestion on the United States' highways by removing passenger car traffic. But highway congestion can also be reduced by reducing the amount of freight traffic. So, given the advances in high-speed rail, the potential exists for developing a national high-speed network for freight distribution. To design such a network considering highway traffic and transit times, we present an uncapacitated network design model with a post-processing step for the capacity constraint. To illustrate how our modeling approach could be used by policy makers to evaluate the impacts of a high-speed rail network, we apply our models with preliminary data on high-speed rail operating parameters for freight applications and from current data on shipments from a major truckload carrier and the US Census Bureau.
  Transportation Research Part A Policy and Practice 01/2010; 44(3):119-135.
• Article: A practical model for transfer optimization in a transit network: Model formulations and solutions

  Yousef Shafahi, Alireza Khani
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  ABSTRACT: This paper studies the transit network scheduling problem and aims to minimize the waiting time at transfer stations. First, the problem is formulated as a mixed integer programming model that gives the departure times of vehicles in lines so that passengers can transfer between lines at transfer stations with minimum waiting times. Then, the model is expanded to a second model by considering the extra stopping time of vehicles at transfer stations as a new variable set. By calculating the optimal values for these variables, transfers can be better performed. The sizes of the models, compared with the existing models, are small enough that the models can be solved for small- and medium-sized networks using regular MIP solvers, such as CPLEX. Moreover, a genetic algorithm approach is represented to more easily solve larger networks. A simple network is used to describe the models, and a medium-sized, real-life network is used to compare the proposed models with another existing model in the literature. The results demonstrate significant improvement. Finally, a large-scale, real-life network is used as a case study to evaluate the proposed models and the genetic algorithm approach.
  Transportation Research Part A Policy and Practice 01/2010; 44(6):377-389.