Transportation Planning and Technology (TRANSPORT PLAN TECHN)

Publisher: Taylor & Francis (Routledge)

Journal 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.

Current impact factor: 0.51

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 0.512
2012 Impact Factor 0.427
2011 Impact Factor 0.203
2010 Impact Factor 0.411
2009 Impact Factor 0.516
2008 Impact Factor 0.286
2007 Impact Factor 0.106
2006 Impact Factor 0.156
2005 Impact Factor 0.182
2004 Impact Factor 0.139
2003 Impact Factor 0.269
2002 Impact Factor 0.12
2001 Impact Factor
2000 Impact Factor 0.032
1999 Impact Factor 0.176
1998 Impact Factor 0.147
1997 Impact Factor 0.231
1996 Impact Factor 0.148

Impact factor over time

Impact factor

Additional details

5-year impact 0.63
Cited half-life 7.30
Immediacy index 0.11
Eigenfactor 0.00
Article influence 0.25
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 (Routledge)

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
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    • 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 a 18 months embargo
    • 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
    • SSH: Social Science and Humanities
    • Publisher last contacted on 25/03/2014
    • This policy is an exception to the default policies of 'Taylor & Francis (Routledge)'
  • Classification

Publications in this journal

  • Maria-Ioanna M. Imprialou · Mohammed Quddus · David E. Pitfield ·

    Transportation Planning and Technology 11/2015; DOI:10.1080/03081060.2015.1108080
  • Konstantinos Papangelis · John D. Nelson · Somayajulu Sripada · Mark Beecroft ·

    Transportation Planning and Technology 11/2015; DOI:10.1080/03081060.2015.1108085
  • Urbi Banerjee · Julian Hine ·

    Transportation Planning and Technology 11/2015; DOI:10.1080/03081060.2015.1108081
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    ABSTRACT: In this paper, the crowding effect in a transit vehicle is modeled in a time-expanded network that considers the daily variation in passenger flows. The study models the daily variation of in-vehicle crowding in a real large-scale transit system. A transit assignment for this real network is modeled and implemented by constructing a crowding cost function that follows the valuation of crowding and by using the reliable shortest path finding method. The direct application of the crowding model to a real network for the Utah Transit Authority indicates that crowd modeling with multi-user classes could influence public transportation system planning and affect the revenues of transit agencies. Moreover, the addition of the disutility factor, crowding, does not always appear to cause an increase in disutility for transit users.
    Transportation Planning and Technology 11/2015; 38(8):935-953. DOI:10.1080/03081060.2015.1079391
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    ABSTRACT: In recent years, increasing attention has been drawn to the development of various applications of intelligent transportation systems (ITS), which are credited with the amelioration of traffic conditions in urban and regional environments. Advanced traveler information systems (ATIS) constitute an important element of ITS by providing potential travelers with information on the network's current performance both en-route and pre-trip. In order to tackle the complexity of such systems, derived from the difficulty of providing real-time estimations of current as well as forecasts of future traffic conditions, a series of models and algorithms have been initiated. This paper proposes the development of an integrated framework for real-time ATIS and presents its application on a large-scale network, that of Thessaloniki, Greece, concluding with a discussion on development and implementation challenges as well as on the advantages and limitations of such an effort.
    Transportation Planning and Technology 10/2015; 38(8):1-12. DOI:10.1080/03081060.2015.1079387
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    ABSTRACT: This paper presents a framework for addressing uncertainty and risk for large-scale transportation investments involving public–private participation. Demand, fare/toll and demand responsive costs are considered in the uncertainty analysis. Uncertainty analysis provides information on economic feasibility of the project. A set of relaxation policies is proposed to form various Ownership, Tenure and Governance (OTG) strategies reflecting the nature and level of participation by the public and private entity. A Monte Carlo Simulation-based Value at Risk is used to quantify risk. Finally, a methodology is proposed to integrate uncertainty and risk. The framework is tested on the proposed multibillion dollar Detroit River International Crossing connecting the cities of Detroit in the USA with Windsor in Canada. The analysis provides insights to probable outcomes for this transportation infrastructure investment under different OTG scenarios.
    Transportation Planning and Technology 10/2015; 38(7). DOI:10.1080/03081060.2015.1059121
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    ABSTRACT: This paper applies multi-criteria decision-making (MCDM) methods to the evaluation of solutions and alternatives for matching airport system airside (runway) capacity to demand. For such a purpose, ‘building a new runway’ is considered as the solution and candidate airports of the system as alternatives for implementing the solution. The alternative airports are characterized by their physical/spatial, operational, economic, environmental, and social performance represented by corresponding indicator systems which, after being defined and estimated under given operating scenarios, are used as evaluation attributes/criteria by the selected MCDM methods. Two MCDM methods – Simple Additive Weighting and Technique for Order of Preference by Similarity to Ideal Solution – are applied to the case of the London airport system to rank and select the preferred alternative from three candidate airports – Heathrow, Gatwick, and Stansted – for where a new runway could be built.
    Transportation Planning and Technology 10/2015; 38(7). DOI:10.1080/03081060.2015.1059120
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    ABSTRACT: This study proposes a three-stage decision-making model for the selection of electric vehicle battery technology. Data used for analysis include surveys completed by 45 technology experts from industry, academia, and research throughout Taiwan. A three-stage model that includes developing multiple-criteria during the first stage, integrating the importance of criteria assessment using the fuzzy analytical hierarchy process in the second stage, and using patent analysis tools to further identify the patent portfolio of the technology selected by experts in the third stage are employed. The empirical results indicate that power source management technology and battery module technology are the key technologies for development by the electric vehicle industry. Battery energy storage management and cooling technology are found to be the key for building patent portfolios. When faced with substantial technical and market uncertainty, multiple-criteria for research and development (R&D) selection and stage-wise integration of decision tool must be employed by battery firms to effectively allocate the resources for R&D decisions.
    Transportation Planning and Technology 10/2015; 38(7). DOI:10.1080/03081060.2015.1059122
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    ABSTRACT: As road congestion is exacerbated in most metropolitan areas, many transportation policies and planning strategies try to nudge travelers to switch to other more sustainable modes of transportation. In order to better analyze these strategies, there is a need to accurately model travelers’ mode-switching behavior. In this paper, a popular artificial intelligence approach, the decision tree (DT), is used to explore the underlying rules of travelers’ switching decisions between two modes under a proposed framework of dynamic mode searching and switching. An effective and practical method for a mode-switching DT induction is proposed. A loss matrix is introduced to handle class imbalance issues. Important factors and their relative importance are analyzed through information gains and feature selections. Household Travel Survey data are used to implement and validate the proposed DT induction method. Through comparison with logit models, the improved prediction ability of the DT models is demonstrated.
    Transportation Planning and Technology 09/2015; 38(8):1-18. DOI:10.1080/03081060.2015.1079385
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    ABSTRACT: This paper examines the relationships among different transportation modes, and between transportation and telecommunications, by applying the structural equation modeling (SEM) technique. For this purpose, we collected and compiled time series data on national travel demand, and socioeconomic and telecommunications conditions in Taiwan, and built national travel demand models using SEM. The estimation results show that the relationship between telecommunications and transportation demand (either car ownership or public transportation) is more complementary than substitutional. Moreover, car ownership is a type of inelastic necessity good, and its relationship with public transportation is more substitutional than complementary. Finally, among the three public transportation modes – rail, bus and domestic air – it is found that air is weakest in terms of competitive power. From the viewpoint of long-term forecasting trends, the bus holds its competitive power in comparison with other public transportation modes and would not be replaced in the future.
    Transportation Planning and Technology 09/2015; 38(8):1-20. DOI:10.1080/03081060.2015.1079389
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    ABSTRACT: This paper investigates temporal and weather-related variation in taxi trips in New York City. A taxi trip data-set with 147 million records covering 10 months of activity is used. It is shown that there are substantial variations in ridership, taxi supply, trip distance, and pickup frequency for different time periods and weather conditions. These variations, in turn, cause variations in driver revenues which is one of the main measures of taxi supply–demand equilibrium. The findings are then used to discuss the anticipated impacts of two recently enacted taxi regulation changes: the first fare increase since 2006 and the E-Hail pilot program which allows taxi hailing with smart phone applications. The fare increase is estimated to cause varying levels of revenue increase for different time periods. E-Hail apps are not expected to offer considerable improvements at all times, but rather when both adequate taxi supply and demand occur simultaneously.
    Transportation Planning and Technology 08/2015; 38(6):601-625. DOI:10.1080/03081060.2015.1048944
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    ABSTRACT: This paper studies the assignment of long-distance passenger traffic on a highway corridor network. First, we propose a traditional model for the long-distance traffic assignment considering interactions with local commuter traffic. It addresses the effect of local networks on highway corridors. An iterative algorithm is developed to solve for the exact solution. Then, to address the potential computational issues that arise therein, a decomposition method is proposed by introducing a new concept of corridor elasticity. An assignment procedure for long-distance passenger traffic is developed accordingly. Numerical tests show that the proposed decomposition method makes significant improvements in computational performance at a small loss of optimality. This decomposition method well approximates the exact assignment from the traditional formulation, especially when the highway corridors are near-saturation. The proposed decomposition method appears practical for application.
    Transportation Planning and Technology 08/2015; 38(6):626-645. DOI:10.1080/03081060.2015.1048945
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    ABSTRACT: In this paper, a Bayesian network is developed to investigate three intertwining parking decisions, namely parking period, parking location, and parking duration, and the impacts of a number of parking-related factors on these decisions. With parking information from Beijing, China in 2005, the structure and parameter of a Bayesian network were learnt by employing the K2 algorithm and Bayesian parameter estimation method respectively. The results show that the decision on how long to park follows that on where to park, and both of them are affected by the decision of when to park. This suggests that parking policies aimed at intervening in one specific parking decision may have an indirect influence on other parking decisions, which embraces an integrated view in the development of parking policies. The findings facilitate the development of measures for regulating parking behavior by identifying important contributing factors.
    Transportation Planning and Technology 08/2015; 38(6):585-600. DOI:10.1080/03081060.2015.1048943
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    ABSTRACT: This paper presents a methodology for modelling an urban transport system, integrating public bicycles in a multi-modal network. A bike cost function that reproduces the effect of slopes on cycling speeds is proposed. Also, the effect of traffic levels on the attractiveness of cycling routes is taken into account. The model applies the modal split and network assignment phases in a multimodal network with different classes of users. It has been verified over a test network and then validated by applying it to a real case in the city of Santander in Spain. The results obtained make this model a useful decision-making tool to encourage the use of the public bicycle from a sustainable development point of view.
    Transportation Planning and Technology 08/2015; 38(6):646-663. DOI:10.1080/03081060.2015.1048946
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    ABSTRACT: This paper uses observations from before and during the Stockkholm congestion charging trial in order to validate and improve a transportation model for Stockholm. The model overestimates the impact of the charges on traffic volumes while at the same time it substantially underestimates the impact on travel times. These forecast errors lead to considerable underestimation of economic benefits which are dominated by travel time savings. The source of error lies in the static assignment that is used in the model. Making the volume-delay functions (VDFs) steeper only marginally improves the quality of forecast but strongly impacts the result of benefit calculations. We therefore conclude that the dynamic assignment is crucial for an informed decision on introducing measures aimed at relieving congestion. However, in the absence of such a calibrated dynamic model for a city, we recommend that at least a sensitivity analysis with respect to the slope of VDFs is performed.
    Transportation Planning and Technology 08/2015; 38(6):684-707. DOI:10.1080/03081060.2015.1048948