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期刊名:Transportation

缩写:TRANSPORTATION

ISSN:0049-4488

e-ISSN:1572-9435

IF/分区:3.3/Q2

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共收录本刊相关文章索引76
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Florian Aschauer,Inka Rösel,Reinhard Hössinger et al. Florian Aschauer et al.
A large amount of information is required to model the complex trade-off processes between travel activities, non-travel activities and budget assignment at the individual level. This paper describes the development of a new survey design, ...
Barbara B Brown,Wyatt A Jensen,Doug Tharp Barbara B Brown
Although complete street policies are proliferating, little is known about how nearby residents perceive and act on their new active transportation opportunities. We survey the same neighborhood residents before and after they receive a new...
Milan Janić Milan Janić
This paper deals with modelling the dynamic resilience of rail passenger transport networks affected by large-scale disruptive events whose impacts deteriorate the networks' planned infrastructural, operational, economic, and social-economi...
Eric Kroes,Paul Koster,Stefanie Peer Eric Kroes
This paper develops and applies a practical method to estimate the benefits of improved reliability of road networks. We present a general methodology to estimate the scheduling costs due to travel time variability for car travel. In contra...
Fariya Sharmeen,Theo Arentze,Harry Timmermans Fariya Sharmeen
This paper presents a model of social network evolution, to predict and simulate changes in social networks induced by lifecycle events. We argue that social networks change with lifecycle events, and we extend a model of friendship selecti...
Marco Diana,Tingting Song,Knut M Wittkowski Marco Diana
Ordinal measures are frequently encountered in travel behavior research. This paper presents a new method for combining them when a hierarchical structure of the data can be presumed. This method is applied to study the subjective assessmen...