Transportation Statistics
Published on 1. June 2009
321 pages
978-1-60427-671-8 (ISBN)
Description
In recent years, transportation systems have been judged on performance-based outcomes, thus, quantitative methods have become increasingly important to such assessments. Transportation Statistics brings together the work of outstanding experts on the latest methods and the applications of those methods to the many modes of transportation statistics at the international level. It details applications of the appropriate statistical methods and other quantitative methods such as operations research and performance measurement. You'll find examples and explications of the techniques used in transportation modeling such as travel demand, travel demand forecasting, freight analysis, the environment and much more. This one-of-a-kind, definitive technical reference will equip practitioners, policy-makers, and academic researchers with state-of-the-art statistical tools used in transportation modeling, how to interpret results and how to analyze the implications of those results.
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Brian Sloboda
Transportation Statistics
Book
06/2009
J Ross Publishing
€142.62
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Person
Brian W. Sloboda was a former economist at the Bureau of Transportation Statistics in the U.S. Department of Transportation and the Bureau of Economic Analysis in the U.S. Department of Commerce. While at the Bureau of Transportation Statistics, he did research in examining the relationship of transportation and the economy, productivity in the various modes of transportation; and tourism and transportation. Currently, he is a pricing economist at the US Postal Service. He is also teaching economics and statistics as an adjunct faculty for the University of Phoenix, University of Maryland, Park University, and the USDA Graduate School.
Content
- Cover
- Table of Contents
- Contributors
- CHAPTER 1: MACROSCOPIC ROAD SAFETY MODELING: A STATE SPACE APPROACH APPLIED TO THREE BELGIAN REGIONS
- CHAPTER 2: TRAFIC SAFETY STUDY: EMPIRICAL BAYES OR HIERARCHICAL BAYES?
- CHAPTER 3: UTILIZING DATA WAREHOUSE TO DEVELOP FREEWAY TRAVEL TIME RELIABILITY STOCHASTIC MODELS
- CHAPTER 4: MIXED LOGIT MODELING OF PARKING-TYPE CHOICE BEHAVIOR
- CHAPTER 5: MODELING DAILY TRAFFIC COUNTS: ANALYZING THE EFFECTS OF HOLIDAYS
- CHAPTER 6: ISSUES WITH SMALL SAMPLES IN TRIP GENERATION ESTIMATION
- CHAPTER 7: RECENT PROGRESS ON ACTIVITY-BASED MICROSIMULATION MODELS OF TRAVEL DEMAND AND FUTURE PROSPECTS
- CHAPTER 8: MAXIMUM SIMULATED LIKELIHOOD ESTIMATION WITH SPATIALLY CORRELATED OBSERVATIONS: A COMPARISON OF SIMULATION TECHNIQUES
- CHAPTER 9: ANALYZING THE IMPACT OF LAND TRANSPORTATION ON REGIONAL TOURISM: THE CASE OF THE CLOSURE OF THE GLION TUNNEL IN THE VALAIS, SWITZERLAND
- CHAPTER 10: QUASI-LIKELIHOOD GENERALIZED LINEAR REGRESSION ANALYSIS OF FATALITY RISK DATA
- CHAPTER 11: DEVELOPING STATEWIDE WEEKEND TRAVEL-DEMAND FORECAST AND MODE-CHOICE MODELS FOR NEW JERSEY
- CHAPTER 12: TRANSFERABILITY OF TIME-OF-DAY CHOICE MODELING FOR LONG-DISTANCE TRIPS
- CHAPTER 13: UNIVARIATE SENSITIVITY AND UNCERTAINTY ANALYSIS OF STATEWIDE TRAVEL DEMAND AND LAND USE MODELS FOR INDIANA
- INDEX
