Network Reliability in Practice: Selected Papers from the by David M. Levinson, Henry Liu, Michael G. H. Bell (auth.),

By David M. Levinson, Henry Liu, Michael G. H. Bell (auth.), David M. Levinson, Henry X. Liu, Michael Bell (eds.)

This booklet includes chosen peer-reviewed papers that have been provided on the Fourth overseas Symposium on Transportation community Reliability (INSTR) convention held on the college of Minnesota July 22-23, 2010. overseas students, from various disciplines--engineering, economics, geography, making plans and transportation—offer various views on modeling and research of the reliability of transportation networks that allows you to illustrate either vulnerability to daily and unpredictability variability and possibility in go back and forth, and demonstrates concepts for addressing these issues.

The scope of the chapters comprises all points of study and layout to enhance community reliability, in particular person notion of unreliability of public shipping, public coverage and reliability of shuttle instances, the valuation and economics of reliability, community reliability modeling and estimation, trip habit and car routing less than uncertainty, and danger overview and administration for transportation networks. The booklet combines new methodologies and cutting-edge perform to version and tackle questions of community unreliability, making it of curiosity to either teachers in transportation and engineering in addition to policy-makers and practitioners.

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This study also calculated the value of travel-time reliability in the context of routechoice decisions. Similarly, Carrion-Madera and Levinson (2011) used GPS data of commuters’ route choice between toll road and other roads to study the value of reliability. Liu et al. (2004) examined the contribution of reliability in traveler’s S. edu X. M. Levinson et al. 1007/978-1-4614-0947-2 4, © Springer Science+Business Media, LLC 2012 37 38 X. Zhu and S. Srinivasan route choice by comparing the aggregated predicted route choices with real data.

5 present the models estimated to relate individuals’ perceptions about congestion to their socioeconomic and residential-location characteristics. 5 is for non-MSA locations (2,074 respondents). For each location, three models were estimated. 5). As the responses to the perception questions were elicited on a scale of 1–5 (with 1 being “Not a problem,” and 5 being “A severe problem”), an ordered-response discrete-choice model is appropriate. In our specification, a positive value for a coefficient indicates that the corresponding explanatory factor is associated with a greater severity of the problem (on an average).

9% As a comparison, respondents were also asked about their ex post attitude toward driving on bridge before the bridge collapse in the former study. Compared to 45% after the incident, only about 20% felt uncomfortable about driving on bridge before. The increase in percentage of people who worry about driving on bridge clearly shows the psychological impacts generated by this dramatic incident. Although the trend is very clear, it has to be pointed out that the survey may have exaggerated the percentage of people who worried about driving on the bridge because questions were asked after the events.

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