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Transportation Research, Economics and Policy; Contents; Contributors; 1 Introduction to Network Reliability in Practice; Introduction; References; 2 Disruptions to Transportation Networks: A Review; Introduction; System Effects; Transit Strike; Bridge Closure; Special Events; Earthquakes; Behavioral Effects; Route Choice and Departure Time; Mode Shifts; Travel Experience; Data Collection; Conclusion; References; 3 Travel Impacts and Adjustment Strategies of the Collapse and the Reopening of the I-35W Bridge; Introduction; Surveys; P-2007; P-2008; W-2007; W-2008; Demographics
Information AcquisitionTravel Impacts; Adjustment Strategies; Bridge Fear? Psychological Impact of I-35W Bridge Collapse on Driving Behavior; Conclusions; References; 4 How Severe Are the Problems of Congestion and Unreliability? An Empirical Analysis of Traveler Perceptions; Introduction; Data; Empirical Results; Perception About Congestion; Person-Level Variables; Household-Level Variables; Perception About Unreliability; Person-Level Variables; Household-Level Variables; Relative Perceptions About Congestion and Unreliability; Person-Level Variables; Household-Level Variables
Summary and ConclusionsReferences; 5 Institutional Architecture to Support Improved Highway Operational Performance; Context; Non-recurring Congestion and Performance Management; Beyond ITS: Effective SO&M Applications; The SHRP2 Program and Systems Reliability; The Development of Guidance for Transportation Agency Managers; Relationships Between Effective SO&M Programs and Institutional Architecture; Key Elements of Institutional Architecture; Capability Maturity Levels of Institutional Architecture; How Institutional Architecture Maturity Relates to Technical and Business Processes
Capability Improvement Strategies at Each LevelUsing the Framework as Guidance; Closure; 6 Travel Time Reliability Indices for Highway Users and Operators; Introduction; Definition of Travel Time Reliability; Travel Time Reliability Measures; Multi-Hierarchical Stochastic Model for Travel Time Variation; Overview; Framework for Determining Travel Time Reliability from Snowfall Weathercast; Estimation Model of Travel Time Variation; Study Area; Results; Conclusions; References; 7 Incorporating Robustness Analysis into Urban Transportation Planning Process; Introduction; Problem Statement
Theory of Robustness Analysis Problem FormulationPrinciple of Robustness Analysis; Analysis for Robustness; Illustrative Example; Formulation of Study Scenarios; The Use of Robustness Analysis as a Decision Criterion in Transportation Planning; Discussion of Results; Robustness Analysis Results; Robustness Analysis as Related to Network Reliability; Conclusions and Implications of the Study; References; 8 A Model of Bridge Choice Across the Mississippi Riverin Minneapolis; Introduction; Data; Recruitment; Methodology; Descriptive Statistics; Sociodemographics
Routes: Preferences, and Attributes According to Survey Data
This book contains selected peer-reviewed papers that were presented at the Fourth International Symposium on Transportation Network Reliability (INSTR) Conference held at the University of Minnesota July 22-23, 2010. International scholars, from a variety of disciplines--engineering, economics, geography, planning and transportation—offer varying perspectives on modeling and analysis of the reliability of transportation networks in order to illustrate both vulnerability to day-to-day and unpredictability variability and risk in travel, and demonstrates strategies for addressing those issues. The scope of the chapters includes all aspects of analysis and design to improve network reliability, specifically user perception of unreliability of public transport, public policy and reliability of travel times, the valuation and economics of reliability, network reliability modeling and estimation, travel behavior and vehicle routing under uncertainty, and risk evaluation and management for transportation networks. The book combines new methodologies and state of the art practice to model and address questions of network unreliability, making it of interest to both academics in transportation and engineering as well as policy-makers and practitioners.