Transportation Planning and Technology (TRANSPORT PLAN TECHN )

Publisher: Taylor & Francis

Description

Section A: Transportation Planning and Technology presents papers covering transport demand models, land use forecasting models, economic evaluation and its relationship to policy in both developed and developing countries, conventional and possibly unconventional future systems technology, urban and interurban transport terminals and interchanges and environmental aspects associated with transport (particularly those relating to noise, pollution and the movement of hazardous materials) as well as more narrowly focused technical papers. Considerable emphasis is placed on work relating to the interface between transportation planning and technology, economics, land use planning, and policy. The journal contains in-depth state-of-the-art papers on transport topics. Section B: Specialized Transportation Planning and Practice is concerned with issues affecting the mobility of special groups in society for whom traditional transportation programs and services are now well designed or deemed suitable. These special groups, increasingly referred to as the transportation disadvantaged, include the elderly, the physically and emotionally impaired, and families with low incomes. The intent of this section is to contribute to improving the mobility of special groups. To that end, this section gathers and disseminates soundly based knowledge on the transportation disadvantaged, derived from research, service methods demonstrations, documented experiences from the field, advances in transport-related technology, and changes in public policy as a result of legislative action, administrative regulations or judicial decisions.

  • Impact factor
    0.43
    Show impact factor history
     
    Impact factor
  • 5-year impact
    0.65
  • Cited half-life
    6.30
  • Immediacy index
    0.09
  • Eigenfactor
    0.00
  • Article influence
    0.27
  • Website
    Transportation Planning and Technology website
  • Other titles
    Transportation planning and technology (Online)
  • ISSN
    0308-1060
  • OCLC
    50447092
  • Material type
    Document, Periodical, Internet resource
  • Document type
    Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Taylor & Francis

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Some individual journals may have policies prohibiting pre-print archiving
    • On author's personal website or departmental website immediately
    • On institutional repository or subject-based repository after either 12 months embargo for STM, Behavioural Science and Public Health Journals or 18 months embargo for SSH journals
    • Publisher's version/PDF cannot be used
    • On a non-profit server
    • Published source must be acknowledged
    • Must link to publisher version
    • Set statements to accompany deposits (see policy)
    • The publisher will deposit in on behalf of authors to a designated institutional repository including PubMed Central, where a deposit agreement exists with the repository
    • STM: Science, Technology and Medicine
    • SSH: Social Science and Humanities
    • Publisher last contacted on 25/03/2014
    • 'Taylor & Francis (Psychology Press)' is an imprint of 'Taylor & Francis'
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Global climate change will affect road networks during this century. The effects will be different in various parts of the world due to differences in local climate change and in the structure and properties of roads. In this paper, climate change projections are presented for climate variables that are most likely to affect the long-term performance of road networks in Europe. We apply four regional climate simulations up to the year 2100 using two plausible future emission scenarios. The results show that the changing climate will require significant adaptation measures in the near future in order to maintain the operability of the European road network.
    Transportation Planning and Technology 11/2014; 37(8).
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    ABSTRACT: Parking demand is a significant land-use problem in campus planning. The parking policies of universities and large corporations with facilities located in small urban areas shape the character of their campuses. These facilities will benefit from a simplified methodology to study the effects of parking availability on transportation mode mix and impacts on recruitment and staffing policies. This paper, based on a case study of North Dakota State University in the United States, introduces an analytical framework to provide planners with insights about how parking supply and demand affects campus transportation mode choice. The methodology relies only on aggregate mode choice data for the special generator zone and the average aggregate volume/capacity ratio projections for all external routes that access the zone. This reduced data requirement significantly lowers analysis cost and obviates the need for specialized modelling software and spatial network analysis tools. Results illustrate that the framework is effective for analysing mode choice changes under different scenarios of parking supply and population growth.
    Transportation Planning and Technology 11/2014; 37(8).
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    ABSTRACT: Employers are regularly involved in transport planning and characteristic workplace-oriented tools include: (1) travel plans for building projects, (2) mandatory travel plans, (3) subsidies to employers with an advanced travel plan and (4) best travel plan awards. In all cases, experts judge the level of car use. We argue that decision-makers might benefit from a multiple regression-based benchmark modelling tool that estimates the expected share of the car. In this paper, we estimate the share of car users in the commuting modal split at workplaces. However, since the amount of information available to experts differs, we gradually add information to the model to measure the impact of data availability. Without historic data on modal split, the current share can only be predicted moderately well, i.e. within a 20% range. Besides adding the past, results improve by using homogenous and regional subsamples. Nevertheless, quantitative analyses do not make expert knowledge obsolete.
    Transportation Planning and Technology 11/2014; 37(8).
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    ABSTRACT: Using a Bergson–Samuelson welfare function, we outline a microeconomic interpretation of the effects of the non-linearity in the time/cost relationship for travellers in a congested transport network. It is demonstrated that a marginal cost traffic flow assignment following Wardrop's second principle, although it minimizes the total cost of a transport network, may reduce social welfare compared to the market equilibrium assignment based on Wardrop's first principle. A welfare-maximizing assignment model is presented and used to show that if the travellers' utility functions are linear, the assignment that maximizes social welfare will be the same as the assignment that minimizes total network cost, but if users' utility functions are non-linear (reflecting the traditional non-satiation and diminishing marginal utility axioms), the two assignments will be different. It is further shown that the effects of this non-linearity are such that a welfare-maximizing assignment will meet with less user resistance than a minimum total network cost assignment.
    Transportation Planning and Technology 11/2014; 37(8).
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    ABSTRACT: Conventional data envelopment analysis (DEA) models consider a system as a single-process ‘black box’. There are, however, DEA approaches that consider a system as composed of distinct processes or stages, each one with its own inputs and outputs and with intermediate flows among the stages. In this paper, a network DEA approach to airline efficiency assessment is presented. One conclusion of the study is that the network DEA approach has more discriminative power than the single-process DEA approach and that the computed targets, efficiency scores and rankings are more valid. This is because network DEA allows for a more fine-grained analysis that leads to a more realistic estimation of the overall system production possibility set than the one assumed by conventional DEA. In other words, compared with network DEA the conventional, single-process DEA represents an aggregated analysis that merges all system processes with their inputs and outputs and ignores their internal flows. The main drawbacks are the need for more detailed data (i.e. at the process level) and the greater complexity of the resulting models, especially if there are inputs or outputs that are shared among the processes.
    Transportation Planning and Technology 10/2014; 37(7).
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    ABSTRACT: A direct discrete mode choice model is introduced using relative attributes of competing modes as well as socioeconomic characteristics of travelers. The model is calibrated and validated for two available historic databases in the Dallas–Fort Worth region. The validation is conducted against the outputs of a current nested logit model used by the regional planning organization as well as the observed values based on transit ridership surveys for a newly inaugurated commuter rail service. The calibrated model is applied after the introduction of this new transit mode. The results show that the estimated mode shares by the proposed model have a statistically better consistency with the observed values than the estimates of the conventional nested logit model. Unlike the logit model, the structure of the direct model based on relative attributes also has the advantage of not needing recalibration each time a new travel mode is introduced. The model is found to be easier to calibrate and produces more accurate results than the nested logit model, commonly used by many metropolitan planning organizations.
    Transportation Planning and Technology 10/2014; 37(7).
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    ABSTRACT: Speed dispersion is essential for transportation research but inaccessible to certain sensors that simply record density, mean speed, and/or flow. An alternative is to relate speed dispersion with these available parameters. This paper is compiled from nearly a quarter million observations on an urban freeway and a resulting data-set with two speed dispersion measures and the three fundamental parameters. Data are examined individually by lane and aggregately by direction. The first dispersion measure, coefficient of variation of speed, is found to be exponential with density, negative exponential with mean speed, and two-phase linear to flow. These empirical relationships are proven to be general for a variety of coefficient ranges under the above function forms. The second measure, standard deviation of speed, does not present any simple relationships to the fundamental parameters, and its maximum occurs at around a half to two-thirds of the free flow speed. Speed dispersion may be significantly different by lane.
    Transportation Planning and Technology 10/2014; 37(7).
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    ABSTRACT: This paper describes a logit model of route choice for urban public transport and explains how the archived data from a smart card-based fare payment system can be used for the choice set generation and model estimation. It demonstrates the feasibility and simplicity of applying a trip-chaining method to infer passenger journeys from smart card transactions data. Not only origins and destinations of passenger journeys can be inferred but also the interchanges between the segments of a linked journey can be recognised. The attributes of the corresponding routes, such as in-vehicle travel time, transfer walking time and to get from alighting stop to trip destination, the need to change, and the time headway of the first transportation line, can be determined by the combination of smart card data with other data sources, such as a street map and timetable. The smart card data represent a large volume of revealed preference data that allows travellers' behaviour to be modelled with higher accuracy than by using traditional survey data. A multinomial route choice model is proposed and estimated by the maximum likelihood method, using urban public transport in Žilina, the Slovak Republic, as a case study
    Transportation Planning and Technology 10/2014; 37(7).
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    ABSTRACT: Researchers in the transportation field rely heavily on traditional random-digit-dialing phone surveys and increasingly on online surveys. Many studies have looked at the strengths and weaknesses of the two methods, but few have examined differences in the inferences that can be drawn from the data generated by the two survey methods. In this paper, we compare both descriptive and inferential results from online and phone surveys with identical questions conducted in Davis, California. Results show that although bicycling behavior does not differ across the two survey samples, many socio-demographic characteristics do. The models developed from each sample have several statistically indistinguishable coefficients but also notable differences in key explanatory factors. The results suggest that online and phone survey methods have the potential to produce significantly different results, both descriptively and inferentially.
    Transportation Planning and Technology 08/2014; 37(6).
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    ABSTRACT: This study uses a hybrid approach, combining cost–benefit analysis (CBA), multiple criteria decision analysis, and Dempster–Shafer Theory, to evaluate transport infrastructure decisions. This approach not only retains the advantages of CBA, but it also facilitates the incorporation of incomplete information into the evaluation process. A particular advantage of this hybrid approach is that it can synthesize evaluation results into an easily understood unit, namely utility. A case study of Taiwan's Tamsui-Taipei Riverside Highway Project is used to illustrate the evaluation method. The evaluation results show that, whereas government officials and city council members support the highway project, academic researchers oppose it. Overall, the decision group tends to positively approve this transport infrastructure investment. These results also reflect the actual situation in Taiwan as stakeholders grapple with the issues arising from the proposed Tamsui-Taipei Riverside Highway Project.
    Transportation Planning and Technology 08/2014; 37(6).
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    ABSTRACT: This paper estimates the efficiencies and productivity changes of 12 international airports in the Asia-Pacific region based on data from 1998 to 2006. We apply stochastic frontier analysis (SFA) to compute efficiency estimates and use the Malmquist productivity index (MPI) to analyze productivity changes. We use the SFA model with a translog-type production function after testing the statistical hypotheses. According to the results of the SFA hypothesis tests, airports have experienced a technological regression; the deviations from the efficiency frontier are caused more by technical inefficiency than random noise. However, the inefficiency was found to decrease. The MPI reveals a declining trend resulting more from technological change than from efficiency change, with a decrease in inefficiency. Taken together, both the hypothesis tests and the MPI not only provide consistent conclusions, but also suggest that airports should concentrate on technological progress.
    Transportation Planning and Technology 08/2014; 37(6).
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    ABSTRACT: This paper develops a log-linear regression approach to estimate missing data in a sparse origin–destination (O–D) matrix assuming the sampled or observed O–D trips follow a good gravity pattern. The approach is tested with randomly selected samples from the known portions of 1997, 2002, and 2007 US Commodity Flow Survey (CFS) O–D value and tonnage matrices and validated with 2007 US O–D tonnage matrix at the state level. The missing data are also estimated for the 2007 CFS tonnage matrix with the best intercept and coefficients obtained using all known entries of the matrix. The concept of the approach can be extended beyond the gravity model to any strong mathematical pattern embedded in the known set of a sparse O–D matrix to estimate its missing cells.
    Transportation Planning and Technology 08/2014; 37(6).
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    ABSTRACT: Network area-wide impacts due to major traffic incidents can be assessed using a microsimulation approach. A VISSIM microsimulation model for a motorway network has been developed and is used to quantify impacts of a major incident in terms of associated costs. The modelled results reveal that a 65% capacity reduction results in 36% more incident-induced delay when compared with the application of a 50% capacity reduction assumption for a two-hour incident clearance duration that blocked one lane of a two-lane motorway. Additionally, an incident which caused a full blockage incurred 40 times more associated impact costs when compared with a major incident which caused a one lane blockage. A 23% cost saving can be achieved by clearing one lane of a fully blocked two-hour major traffic incident after 90 minutes, while a 37% cost saving can be achieved by clearing all blockages after 90 minutes.
    Transportation Planning and Technology 05/2014; 37(4).
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    ABSTRACT: Driving behavior models that capture drivers’ tactical maneuvering decisions in different traffic conditions are essential to microscopic traffic simulation systems. This paper focuses on a parameter that has a great impact on road users’ aggressive overtaking maneuvers and directly affects lane-changing models (an integral part of microscopic traffic simulation models), namely, speed deviation. The objective of this research is to investigate the impacts of speed deviation in terms of performance measures (delay time, network mean speed, and travel time duration) and the number of lane-change maneuvers using the Aimsun traffic simulator. Following calibration of the model for a section of urban highway in Tehran, this paper explores the sensitivity of lane-changing maneuvers during different speed deviations by conducting two types of test. Simulation results show that, by decreasing speed deviation, the number of lane changes reduces remarkably and so network safety increases, thus reducing travel time due to an increase in network mean speed.
    Transportation Planning and Technology 05/2014; 37(4).
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    ABSTRACT: This paper examines some key aspects of a charging system for promoting railway transport, including charges reflecting a clear relationship with costs (transparency) and charges reflecting the quality of the infrastructure manager's service. Train running charges recover track-related costs and can help to develop a charging system that meets these requirements. To orient train running charges to the market, a method for processing track maintenance and renewal costs is proposed whereby the quality of the service provided by an infrastructure is measured according to its utility to the railway undertaking. To achieve transparency, a single indicator is used for cost planning and the subsequent levying of costs on railway undertakings. The paper includes an example of how proposed train running charges would be calculated according to data from 14 European countries. The example shows that short-distance trains generate the lowest maintenance and renewal costs, followed by long-distance trains and freight trains.
    Transportation Planning and Technology 05/2014; 37(4).
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    ABSTRACT: This paper presents the results of an experimental study into the role of risk aversion and regret aversion as codeterminants of travel choice inertia. Theoretical results published by Chorus and Dellaert are tested empirically. More specifically, the expectation is tested that when (1) travelers are risk averse, (2) the quality of travel choices is uncertain, and (3) the quality is partially revealed upon usage, travel choice inertia emerges as a learning-based lock-in effect. In addition, this paper studies the role of regret aversion as a possible trigger of travel choice inertia. Analyses are based on data collected in an experiment, where the reward that participants obtain is a function of the outcome of choices they make. Empirical results suggest that the learning-based lock-in effect indeed plays a role in the context of our data. The evidence for the hypothesis that regret aversion triggers inertia is mixed at best.
    Transportation Planning and Technology 05/2014; 37(4).
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    ABSTRACT: As congestion pricing has moved from theoretical ideas in the literature to real-world implementation, the need for decision support when designing pricing schemes has become evident. This paper deals with the problem of finding optimal toll levels and locations in a road traffic network and presents a case study of Stockholm. The optimisation problem of finding optimal toll levels, given a predetermined cordon, and the problem of finding both optimal toll locations and levels are presented, and previously developed heuristics are used for solving these problems. For the Stockholm case study, the possible welfare gains of optimising toll levels in the current cordon and optimising both toll locations and their corresponding toll levels are evaluated. It is shown that by tuning the toll levels in the current congestion pricing cordon used in Stockholm, the welfare gain can be increased significantly, and furthermore improved by allowing a toll on a major bypass highway. It is also shown that, by optimising both toll locations and levels, a congestion pricing scheme with welfare gain close to what can be achieved by marginal social cost pricing can be designed with tolls being located on only a quarter of the tollable links.
    Transportation Planning and Technology 05/2014; 37(4).
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    ABSTRACT: We consider the transit coordination problem with heterogeneous headways. Timetables with heterogeneous headways improve coordination between transit lines and reduce transfer time for connecting passengers. Unfortunately, deviating from homogeneous headways impacts adversely on initial waiting times experienced prior to embarking on the initial vehicle of a trip. We focus on this trade-off between transfer waiting time and initial waiting time, which has not been explored previously, and develop a mathematical model to quantify the benefits of heterogeneous headways. We also propose a genetic algorithm (GA) to solve the transit coordination problem with heterogeneous headways and demonstrate the benefit of heterogeneous headways based on two examples from the literature and one real-life example based on the rail transit network of Istanbul. Computational results suggest that the GA solves the transit coordination problem within a reasonable time and significant benefits can be achieved by adopting timetables with heterogeneous headways.
    Transportation Planning and Technology 05/2014; 37(5).
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    ABSTRACT: The European Union (EU) has proposed renewing the target for halving the number of road fatalities in the period 2011–2020. In this paper, a nonlinear distribution method for dynamic fatality reduction targets is applied for the purpose of finding individual national mortality reduction targets for each of the 27 member countries in the EU. Weighting is undertaken for four scenarios based on the following indicators: road mortality rates, fatality rates, fatality risks, and fatality density. Results are presented for four proposals to reduce the number of fatalities in each Member State, based on the original situation of the indicators considered in the study. The results seek to provide policy-makers with a broader vision with regard to the achievement of the goals of EU road safety policy.
    Transportation Planning and Technology 04/2014; 37(3).
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    ABSTRACT: The behavioral value of travel time is an important factor for evaluating alternative transportation facility or service improvement projects based on road user-benefit approach. This article presents the behavioral value of travel time with reference to home-based school tour in California. Initially a single value of travel time is quantified from multinomial logit and nested logit (NL) model estimate. Later random parameter logit (RPL) model is employed by specifying a random component for the travel time attribute. The values of travel time emanating from RPL model estimate are quantified across student population by assuming different types of tent-shaped random distributions such as triangular and normal. In this study the value of travel time is investigated separately for two types of home-based school tour: grade school and college-university. Overall this study examines the effect of alternative logit model specifications on quantification of value of travel time. The study is demonstrated using household travel diary data of the state of California, which is revealed preference in nature.
    Transportation Planning and Technology 04/2014; 37(3).