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Transportation asset management : methodologies and applications / Zongzhi Li.

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Format:
Book
Author/Creator:
Li, Zongzhi, author.
Language:
English
Subjects (All):
Transportation--Planning.
Transportation.
Transportation--Forecasting.
Physical Description:
1 online resource (761 pages)
Edition:
1st ed.
Place of Publication:
Boca Raton ; London ; New York : CRC Press, Taylor & Francis Group, [2019]
Summary:
Transportation asset management delivers efficient and cost-effective investment decisions to support transportation infrastructure and system usage performance measured in economic, social, health, and environmental terms. It can be applied at national, state, and local levels. This distinctive book addresses asset management for multimodal transportation, taking account of system component interdependency, integration, and risk and uncertainty. It sets out rigorous quantitative and qualitative methods for addressing system goals, performance measures, and needs; data collection and management; performance modeling; project evaluation, selection, and trade-off analysis; innovative financing; and institutional issues. It applies as easily to static traffic and time-dependent or dynamic traffic which exists on a more local level. It is written for transportation planners, engineers, and academia, as well as a growing number of graduate students taking transportation asset management courses.
Contents:
Cover
Half Title
Title Page
Copyright Page
Dedication
Contents
List of symbols
List of abbreviations
Preface
Author
1. Introduction
1.1 Overview of a multimodal transportation system
1.1.1 Multimodal transportation facilities
1.1.2 Transportation vehicles
1.1.3 Passenger and freight movements
1.2 Transportation system characteristics
1.2.1 Interdependent system components
1.2.2 System component life cycle considerations
1.2.3 Multidimensional impacts and multiple performance goals
1.3 Transportation asset management process
1.3.1 Transportation goals, objectives, and performance measures
1.3.2 Data needs, collection, processing, and database management
1.3.3 Multimodal physical facility and system usage performance modeling
1.3.4 Travel demand and traffic flow predictions
1.3.5 Transportation system performance trend analysis
1.3.6 Needs assessment and investment alternatives
1.3.7 Project evaluation
1.3.8 Project selection and programming
1.3.9 Project implementation and feedback
2. Transportation goals, objectives, and performance measures
2.1 General
2.2 Transportation policy goals, system management goals, and objectives
2.3 Transportation performance measures
2.3.1 Desirable properties
2.3.2 Performance measures under policy goals
2.3.3 Performance measures under system management goals
2.3.4 Network- and project-level performance measures
3. Data collection, processing, and database management
3.1 Dimensions of data needs for transportation asset management
3.1.1 Data needs for pavement management
3.1.2 Data needs for bridge and tunnel management
3.1.3 Data needs for maintenance management
3.1.4 Data needs for traffic control and safety hardware management
3.1.5 Data needs for congestion management.
3.1.6 Data needs for safety management
3.1.7 Data needs for transit performance management
3.1.8 Network-wide forecasted traffic data
3.2 Data sampling methods
3.2.1 Simple random sampling method
3.2.1.1 Sample size
3.2.1.2 Data sampling analysis
3.2.2 Systematic random sampling method
3.2.3 Stratified random sampling method
3.2.3.1 Sample size
3.2.3.2 Data sampling analysis
3.2.4 Cluster sampling method
3.2.4.1 Sample size
3.2.4.2 Data sampling analysis
3.2.5 Combined sampling
3.3 Data collection techniques
3.3.1 Passenger demand data collection
3.3.2 Truck demand data collection
3.3.3 Pavement data collection
3.3.3.1 Pavement segment delineation
3.3.3.2 Surface condition data collection
3.3.3.3 Pavement structural capacity data collection
3.3.4 Bridge condition data collection
3.3.5 Traffic control and safety hardware data collection
3.3.5.1 Traffic sign and pavement marking data collection
3.3.5.2 Traffic lighting illumination level data collection
3.3.6 Travel time data collection
3.3.6.1 Conventional travel time data collection
3.3.6.2 Real-time traffic data collection
3.3.7 Transit performance data collection
3.3.7.1 Speed-and-delay survey
3.3.7.2 Passenger volume and load count
3.3.7.3 Passenger boarding and alighting counts
3.4 Data collection frequency
3.5 Data quality assurance
3.5.1 Quality standards
3.5.2 Quality assurance
3.6 Data integration
3.6.1 Data integration process
3.6.2 Data transformations
3.6.3 Transformation between linear reference systems
3.6.4 Transformation between GPS and LRS
3.6.5 Data integration techniques
3.7 Database development and management
3.7.1 Database planning, design, and construction
3.7.1.1 Data standards
3.7.1.2 Metadata and data dictionary
3.7.1.3 Requirements.
3.7.1.4 Testing and implementation
3.7.1.5 Database evaluation
3.7.2 Data modeling
3.7.3 New requirements for database management
3.7.3.1 Storage capacity
3.7.3.2 Heterogeneous data
3.7.3.3 Bad data and missing data
Problems
4. Transportation facility performance modeling
4.1 General
4.1.1 Characteristics of facility performance measures and models
4.1.2 Facility condition deterioration and service life expectancy
4.2 Performance model types
4.2.1 Condition deterioration model types
4.2.1.1 Regression models
4.2.1.2 Econometric models
4.2.1.3 Markov models
4.2.1.4 Reliability-based models
4.2.1.5 Ordered probability models
4.2.1.6 Bayesian models
4.2.1.7 Nonparametric binary recursive partitioning method
4.2.1.8 Artificial intelligence models
4.2.2 Service life expectancy model types
4.2.2.1 Regression models
4.2.2.2 Parametric survival models
4.2.2.3 Semi-parametric survival models
4.2.2.4 Neural network models
4.3 Model estimation techniques
4.3.1 Preliminary data analysis
4.3.2 Classical regression model assumptions
4.3.3 OLS estimation
4.3.4 ML estimation
4.3.5 Model validation
4.3.6 Model predictability evaluation
4.4 Pavement performance modeling
4.4.1 Pavement types
4.4.2 Pavement distresses
4.4.3 Pavement condition indices
4.4.3.1 Index scales
4.4.3.2 Typical index types
4.4.4 Pavement performance models
4.4.4.1 AASHTO pavement condition deterioration model
4.4.4.2 George pavement condition deterioration models
4.4.4.3 SHRP distress-based deterioration models
4.4.4.4 ARRB pavement condition deterioration model
4.4.4.5 Pavement routine maintenance and rehabilitation interval tradeoff model
4.4.4.6 Pavement preventive and corrective maintenance tradeoff models
4.5 Bridge performance modeling.
4.5.1 Bridge types
4.5.2 Bridge element condition ratings
4.5.3 Bridge performance models
4.5.3.1 Markov bridge element condition transition models
4.5.3.2 BRP bridge element condition deterioration models
4.6 Traffic control and safety hardware performance modeling
4.6.1 Traffic control and safety hardware categories, components, and performance
4.6.2 Traffic sign retroreflectivity deterioration models
4.6.3 Lighting illuminance deterioration model
4.6.4 Traffic signal head deterioration model
4.6.5 Pavement marking retroreflectivity deterioration models
4.6.6 Concrete barrier deterioration models
4.7 Multimodal facility performance assessment
4.7.1 Transit condition rating
4.7.2 Rail track condition rating and modeling
4.7.3 Inland waterway condition rating
4.7.4 Bikeway condition rating
4.7.5 Pedestrian walkway condition rating
5. Transportation impacts modeling
5.1 Transportation agency cost modeling
5.1.1 General
5.1.1.1 Short- and long-run costs
5.1.1.2 Marginal cost and economies of scale
5.1.1.3 Methods of measurements
5.1.1.4 External and total social costs
5.1.2 Highway agency costs
5.1.2.1 Highway agency cost estimation methods
5.1.2.2 Highway agency cost models
5.1.3 Transit agency costs
5.1.3.1 Transit accounting costs
5.1.3.2 Transit engineering costs
5.1.3.3 Transit operating costs with user inputs
5.1.4 Non-motorized transportation agency costs
5.1.4.1 Bike facility costs
5.1.4.2 Pedestrian facility costs
5.1.4.3 Traffic calming facility costs
5.2 Transportation user cost modeling
5.2.1 Vehicle operating costs
5.2.1.1 Vehicle energy consumption
5.2.1.2 Tire cost
5.2.1.3 Vehicle maintenance and repair
5.2.1.4 Vehicle depreciation value
5.2.2 Vehicle travel time.
5.2.2.1 Travel time estimation using instantaneous speed-density-flow static models
5.2.2.2 Travel time estimation using space-averaged static models
5.2.2.3 Travel time estimation using time-averaged static models
5.2.2.4 Travel time estimation using dynamic models
5.2.2.5 Additional travel time due to intersection delays
5.2.2.6 Additional travel time due to parking search
5.2.2.7 Short-run travel time cost
5.2.2.8 Long-run travel time cost
5.2.3 Vehicle crashes
5.2.3.1 Safety performance model types
5.2.3.2 SPFs for highway segments
5.2.3.3 SPFs for highway intersections
5.2.3.4 Vehicle crash prediction
5.2.4 Vehicle air emissions
5.2.4.1 Vehicle air pollutant types
5.2.4.2 Vehicle emission factors
5.2.4.3 Vehicle air emission models
5.2.5 Vehicle noise emissions
5.2.5.1 Noise level measurements
5.2.5.2 Traffic noise sources
5.2.5.3 Traffic noise models
5.2.5.4 Traffic noise costs
5.3 Transportation indirect impacts modeling
5.3.1 Land use impacts
5.3.1.1 Land use impacts on transportation
5.3.1.2 Transportation impacts on land use
5.3.1.3 Monetization of land use impacts
5.3.2 Economic development impacts
5.3.2.1 Economic impacts dimensions
5.3.2.2 Economic impact types
6. Transportation needs assessment
6.1 General
6.2 Physical transportation facility needs assessment
6.2.1 Threshold condition levels for pavement treatments
6.2.2 Threshold condition levels for bridge treatments
6.2.3 Threshold condition levels for traffic control and safety hardware treatments
6.2.4 Threshold condition levels for multimodal facility treatments
6.3 Transportation usage needs assessment
6.3.1 Threshold performance levels for vehicle operating costs
6.3.2 Threshold performance levels for mobility.
6.3.3 Threshold performance levels for highway traffic safety.
Notes:
Description based on print version record.
ISBN:
1-351-64425-4
1-4822-1053-3
OCLC:
1029232092

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