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

Publisher: Elsevier


Transportation Research: Part A contains papers of general interest in all passenger and freight transportation modes: policy analysis, formulation and evaluation; planning; interaction with the political, socioeconomic and physical environment; design, management and evaluation of transportation systems. Topics are approached from any discipline or perspective: economics, engineering, sociology, psychology, etc. Case studies, survey and expository papers are included, as are articles which contribute to unification of the field, or to an understanding of the comparative aspects of different systems. Papers which assess the scope for technological innovation within a social or political framework are also published. The journal is international, and places equal emphasis on the problems of industrialized and non-industrialized regions. Part A's aims and scope are complementary to Transportation Research Part B: Methodological, Part C: Emerging Technologies and Part D: Transport and Environment. The complete set forms the most cohesive and comprehensive reference of current research in transportation science. Selected abstracts from the Transportation Research Part A: Policy and Practice are available in TR Update, the Elsevier Science transportation newsletter.

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  • Website
    Transportation Research Part A: Policy and Practice website
  • Other titles
    Transportation research. Part A, Policy and practice, Policy and practice, Transportation research-A
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  • Material type
    Periodical, Internet resource
  • Document type
    Journal / Magazine / Newspaper, Internet Resource

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  • Pre-print
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    • Author can archive a post-print version
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    • Voluntary deposit by author of pre-print allowed on Institutions open scholarly website and pre-print servers
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    • Publisher's version/PDF cannot be used
    • Articles in some journals can be made Open Access on payment of additional charge
    • NIH Authors articles will be submitted to PMC after 12 months
    • Authors who are required to deposit in subject repositories may also use Sponsorship Option
    • Pre-print can not be deposited for The Lancet
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    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Urban green spaces provide various social and environmental benefits that strongly improve the quality of life in a city. Municipalities are responsible for maintaining their green spaces in order to preserve these potentials. This paper supports municipalities in planning the transportation and disposal logistics of the green waste that is produced by the maintenance activities. The approach combines ecological issues like the seasonality of green waste generation and different types of biomass with economically driven decision making. We show how to determine cost efficient transportation plans for the disposal logistics and how to capture the seasonality of green waste generation when booking capacities at disposal facilities. It is also shown how a municipality can select the disposal facilities to cooperate with in a competitive environment where facilities offer capacities at differing conditions, as is the case for disposal sites that dump the green waste and for conversion plants that use the biomass for producing renewable energy. We illustrate the approach using case data of a major city in Germany.
    Transportation Research Part A Policy and Practice 12/2014;
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    ABSTRACT: Several factors contribute to short-duration unscheduled absences of bus transit drivers. This article aims to understand these factors at the aggregate level and to anticipate future total absence that will need to be filled for a large-size transit operator. The aggregate level is defined as the total number of regular driver absences per garage, day of week and time period that need to be covered by the extraboards. This study analyzes absenteeism data obtained from OC Transpo, the transit provider of the city of Ottawa, Canada. A multilevel regression model is generated to investigate regular drivers' absences. The short-unscheduled absence is estimated in relation to temporal factors, drivers' personal characteristics, aspects of assigned work, and service delivery characteristics. Furthermore, using the model's coefficients, sensitivity analyses are conducted to demonstrate the advantages of this technique over traditional ones adopted by various transit agencies. This study provides transit planners and policy makers with a practical methodology that can be used to support extraboard planning practice and help reduce the incidence of missed trips due to absences while having the appropriate size of extraboard drivers.
    Transportation Research Part A Policy and Practice 08/2014; 66(1):27-38.
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    ABSTRACT: Questionable practices for dismantling end-of-life ships or ‘ship recycling’ on South Asian countries’ shores have elicited unease given their dominance of this unevenly regulated global industry. International efforts to establish enforceable regulations have met with limited success so far, and yet this limited success may be further eroded as different interests promote their own preferred arrangements—or ignore them altogether. This paper focuses on narrowing differences between the European Union and South Asian ship recycling nations over regulating this trade by sequentially detailing its economic rationales, environmental regimes and relevant sustainability principles. These tasks performed, I deductively build a case for an aid-based, ‘demandeur pays’ approach to meaningfully address this impasse after considering other options to fund improved ship recycling practices in South Asia.
    Transportation Research Part A Policy and Practice 07/2014; 67:340-351.
  • Transportation Research Part A Policy and Practice 04/2014;
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    ABSTRACT: This paper presents a multi-criteria model to rank highway projects by predicting their combined potential impact on regional population, economy, environment, territory and mobility. A detailed study of initial conditions enable the selection of functional units of study and the identification of homogenous units within the region, playing a relevant role into the process. Ranking is based on the achievement of both efficiency and cohesion objectives at a regional level. The model is tested by analyzing the Spanish Transport Infrastructure Master Plan (PEIT) for the non-central area of Northwest Spain. Application of impact assessment shows that the construction of infrastructures has selective effects in the area according to the homogenous groups. Potential development was boosted in one of the zone groups, whereas in others, at best, there was a reduction in their regressive tendency. Finally, the model is a dynamic support tool that could be adapted to several planning policies only when the ranking criterion is well-justified.
    Transportation Research Part A Policy and Practice 04/2014; 65:80–91.
  • Transportation Research Part A Policy and Practice 03/2014; Forthcoming.
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    ABSTRACT: We formulate and estimate a structural model for travel demand in which users have heterogeneous preferences and make their transport decisions based on network congestion. A key component in the model is the infinite number of users in the network, all of whom have common knowledge about the distribution of preferences in the population. In this setting, the congestion level is endogenously determined in the equilibrium of a game with a continuum of players. For the estimate, we use the first-order conditions of the users’ utility maximization problem to derive the likelihood function. For inference, we apply a two-step, semi-parametric method. Using data from Santiago, Chile, we show that the estimated parameters confirm the effect of congestion on individuals’ preferences and that demand elasticities obtained by using our framework are consistent with results reported in the literature. We use the model to evaluate the effect on the welfare of increasing the cost of car trips and implementing a second-best fare schedule for bus transit. We also assess the welfare loss caused by congestion in Santiago.
    Transportation Research Part A Policy and Practice 01/2014; 59:331 - 345.
  • Transportation Research Part A Policy and Practice 01/2014; 61:121-135.
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    ABSTRACT: This paper proposes a bi-level passenger transport market model taking into account competition between air and high-speed rail (HSR) in a domestic market. The paper discusses the characteristics of the relationship between market share and connectivity in domestic and international markets. The result suggests that because of the dominance of HSR in the domestic market, when connectivity between air and HSR is good, international passenger’s welfare can be improved. Finally, when considering profitability of the players, there is an incentive for airlines to cooperate with HSR, but there is no incentive for HSR to cooperate with airlines.
    Transportation Research Part A Policy and Practice 01/2014;
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    ABSTRACT: Crowding on metro trains is an important measure of passenger satisfaction and also provides a criterion for determining service frequency and the number of cars necessary for a train set. Particularly in metropolitan areas during morning peak hours, many studies have revealed a considerable difference in the crowding of specific cars on a single train. To accommodate the impact of this phenomenon in calculating metro capacity, a loading diversity factor has been adopted in many transportation studies. However, the underlying causes behind the uneven nature of carriage loading have rarely been examined in a systematic manner. In particular, there has been no trial to explain the nature of choice within a framework for individual passengers. Under the assumption that the uneven selection might stem from each passenger’s intrinsic preference for a specific car, the present study established a nested logit model to investigate the potential factors affecting the choice of a specific car on a train. Passengers were interviewed as they boarded from the platforms of line 7 of the Seoul Metro during the morning peak hours. Results show that the motivation to minimize the walking distance at destination stations turned out to be the most decisive in determining a passenger’s choice for a specific car of a train.
    Transportation Research Part A Policy and Practice 01/2014; 61:249–258.
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    ABSTRACT: Modeling the contribution of multi-tasking to the utility of travel episodes would be an important objective in the development of the next generation of activity-based models. Conducting activities whilst traveling may affect the utility of activity episodes in a daily schedule. If evidence to that effect can be established, an elaboration of current activity-based models seems warranted. In this paper, as a first step towards the development of such comprehensive activity-based models, we formulate a random effects regression model to analyze the effects of multi-tasking on respondents’ judgments of travel experiences of distinct travel episodes. We extend previous research with a focus on the extent and nature of multi-tasking during a single trip. We analyze repeated judgments of the same individuals for multiple travel episodes, collected over a period of three consecutive months. This longitudinal data analysis allows us to better differentiate between personality traits, temporal effects, multi-tasking and the embedding of travel episodes in the larger activity-travel chains. Results indicate that multi-tasking has a positive impact on travelers’ judgments of travel experiences. Significant effects were also found for the kind of activity that was conducted immediately before and after the travel episode. We conclude therefore that it seems beneficial to include multi-tasking in a new generation of activity-based models, and that the suggested conceptualization and model formulation are feasible and valuable building blocks in the development of such more comprehensive activity-based models.
    Transportation Research Part A Policy and Practice 01/2014; 63:67–75.
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    ABSTRACT: This paper analyses the influence of meteorological conditions on the number of public bus trips made for leisure, shopping and personal business in Gipuzkoa, Spain. The ridership transit data employed were obtained from the data generated by a CAD/AVL system (Computer-aided dispatch/Automatic Vehicle Location) that simultaneously manages the data coming from all o the bus operators in the region. So, the study analyses the trips actually made by the entire population without resorting to sample data or aggregate behavioural studies, confirming as an added value of smart technologies their potentialities as a source of information. To determine the reasons for travelling, only journeys made on Saturdays and Sundays were studied for all weekends in 2010 and 2011. Multiple linear regression results showed that wind and rain could result in a decrease in the number of trips, while a temperature rise caused an increase in the number of trips, in agreement with the results of previous survey-based studies. Finally, both regular and occasional travellers were found to share this behavioural pattern.
    Transportation Research Part A Policy and Practice 01/2014; 59:1–12.

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