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JournalISSN: 1094-8848

Journal of transportation and statistics 

About: Journal of transportation and statistics is an academic journal. The journal publishes majorly in the area(s): Travel behavior & Transportation planning. It has an ISSN identifier of 1094-8848. Over the lifetime, 117 publications have been published receiving 3962 citations.

Papers published on a yearly basis

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Journal ArticleDOI
TL;DR: In this article, the major mobility variables from about 30 travel surveys in more than 10 countries are compared and the analysis of cross-sectional and longitudinal data broadly confirms some earlier findings of regularities in time and money expenditures shares for passenger travel budgets.
Abstract: The major mobility variables from about 30 travel surveys in more than 10 countries are compared in this paper. The analysis of cross-sectional and longitudinal data broadly confirms some earlier findings of regularities in time and money expenditures shares for passenger travel budgets. Despite the rather rough stability, travel demand characteristics, influenced by the two travel budgets, show strong regularities across space and time for all countries examined.

246 citations

Journal Article
TL;DR: H hierarchial Bayes models, which are being vigorously researched for use in disease mapping, can be used to build model-based risk maps for area-based traffic crashes and a potential extension that uses hierarchial models to develop network- based risk maps is discussed.
Abstract: Mapping transform spatial data into a visual form, enhancing the ability of users to observe, conceptualize, validate, and communicate information. Research efforts in the visualization of traffic safety data, which are usually stored in large and complex databases, are quite limited at this time. This paper shows how hierarchial Bayes models, which are being vigorously researched for use in disease mapping, can also be used to build model-based risk maps for area-based traffic crashes. County-level vehicle crash records and roadway data from Texas are used to illustrate the method. A potential extension that uses hierarchial models to develop network-based risk maps is also discussed.

223 citations

Journal Article
TL;DR: The factors that contribute to accessibility at the neighborhood level are identified and different ways that planners can evaluate neighborhood accessibility are explored.
Abstract: Efforts to improve transportation choices and enhance accessibility at the neighborhood level have been hampered by a lack of practical planning tools. This paper identifies the factors that contribute to accessibility at the neighborhood level and explores different ways that planners can evaluate neighborhood accessibility. A gap between the data needed to describe important accessibility factors and the data readily available to local planning departments points to two complementary strategies: a city-wide approach using available data and geographic information systems to evaluate accessibility to neighborhoods across the city, and a neighborhood specific approach to building a detailed accessibility database. Examples are presented of both.

188 citations

Journal Article
TL;DR: In this paper, accessibility measures are classified according to their underpinning theories, complexity in constructions, and demand on data according to travel cost, gravity, constraints- based, utility-based, and composite approaches.
Abstract: Given the importance of accessibility measures as tools in planning, the aim of this paper is to elicit an understanding of the mechanism behind their diversity. In this paper, accessibility measures are classified according to their underpinning theories, complexity in constructions, and demand on data. The classifications comprise travel cost, gravity, constraints-based, utility-based, and composite approaches. While simpler models are less demanding on data, they fail to address the subject in a theoretically rigorous manner. The paper also summarizes issues that are important in modeling accessibility. The performance of some conferred accessibility measures are compared in a European context, and the effects of functional forms of the deterrence variable and agglomeration effect are examined.

186 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the hypothesis of induced travel demand by using county level data from Maryland, Virginia, North Carolina, and Washington, D.C. to estimate "fixed effects" cross-sectional time series models that relate travel levels, measured as daily vehicle miles of travel, to roadway capacity in lane miles.
Abstract: The hypothesis of induced travel demand is investigated. County level data from Maryland, Virginia, North Carolina, and Washington, D.C. are used to estimate "fixed-effects" cross-sectional time series models that relate travel levels, measured as daily vehicle miles of travel, to roadway capacity in lane miles. This includes analysis of a difference (or growth) model estimated using a two-stage least squares procedure with an instrumental variable to account for simultaneity bias. Individual models for each state, a combined-state model, and a model with data from the Washington, D.C./Baltimore metropolitan area are estimated. Average elasticities of vehicle miles of travel (VMT) with respect to lane miles are estimated. The results build on recent research in this area by confirming both the range of elasticities found in other studies and the robustness of these estimates by accounting for simultaneity bias.

142 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20143
20067
200516
200412
20039
200211