Travel Demand Forecasting 2013
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Author Description
TRB's Transportation Research Record: Journal of the Transportation Research Board, No. 2344 contains 16 papers that explore the effectiveness of Bayesian updating attributes in data transferability applications; social adoption in design and analysis of stated choice experiments related to choice of electric cars; estimating dynamic workplace capacities by means of public transport smart card data and a household travel survey in Singapore; and robustness and computational efficiency of time dependent origin destination matrices. This TRR also examines the impact of distribution choice for representing input variation; static and dynamic land use; residential dissonance and its affect on residential mobility; engagement in household activities and decisions on residential tenure and household type; temporal stability of generation choice models; sustainability for transportation vehicles; and, a mixed use development trip generation model. In addition, this issue covers the evolving ITE Trip Generation Handbook: a proposal for collecting multimodal, multicontext, establishment level data; latent household preferences in daily activity pattern choices; a destination choice model for commercial vehicle movements in metropolitan area; values of time for freight trucks for better understanding of the impact of toll policies; and modeling long distance travel in Great Britain.
Menrva's Summary
THE THESIS
This collection of papers investigates advanced methodologies and empirical findings in travel demand forecasting, focusing on the application of statistical models and data analysis techniques to understand and predict transportation behavior. The authors, affiliated with the National Academies of Sciences, Engineering, and Medicine's Gulf Research Program and the Transportation Research Board, present research utilizing diverse datasets and analytical frameworks to address challenges in transferability, choice modeling, and trip generation. Their collective work aims to refine the accuracy and robustness of forecasting models for various transportation contexts, from electric car adoption to freight movement.
THE SCOPE MAP
- Effectiveness of Bayesian updating attributes in data transferability applications.
- Social adoption in design and analysis of stated choice experiments for electric cars.
- Estimating dynamic workplace capacities using smart card data and household travel surveys.
- Robustness and computational efficiency of time-dependent origin-destination matrices.
- Impact of distribution choice for representing input variation.
- Static and dynamic land use analysis and its effect on residential mobility.
- Modeling long-distance travel in Great Britain.
- Evolving ITE Trip Generation Handbook: proposal for multimodal, multicontext data collection.
THE AUTHORITY PERSPECTIVE
This collection of papers from the Transportation Research Board's Journal offers a technical deep dive into contemporary issues in travel demand forecasting. The research presented is likely to appeal to transportation planners, modelers, and academics seeking to understand the latest analytical techniques and empirical results in the field. The scope covers a range of sophisticated modeling approaches, suggesting a readership that requires a solid foundation in quantitative methods and transportation science.
Page Count:
115
Publication Date:
2013-01-01
Publisher:
Transportation Research Board
ISBN-10:
0309263409
ISBN-13:
9780309263405
Non-Fiction
Science & Technology
Data Analysis
Transportation
urban planning
Forecasting
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