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Modelling Transport 4E
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字&&&&数：328481
正文语种：英文
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&&　　A substantially updated fourth edition offering a unique, contemporary account of key transport modelling techniques and applications.
　　With this fourth edition, Modelling Transport has been fully updated and revised to retain its position as the market-leading text in the field of transport modelling. As with previous editions, each subject is approached as a modelling exercise with discussion of the roles of theory, data, model specification, estimation, validation and application?
This edition features four significant
a new chapter on modelling for pri a new chapter on activity- a new section on dynamic assignment and micro- and sizeable updates to the disaggregate modelling and Stated Preference sections. It also tackles topical issues such as congestion charging, global warming and the role of GPS in travel time surveys.
Title Page
About the Authors
1: Introduction
1.1 Transport Planning and Modelling
1.2 Characteristics of Transport Problems
1.3 Modelling and Decision Making
1.4 Issues in Transport Modelling
1.5 The Structure of the Classic Transport Model
1.6 Continuous Transport Planning
1.7 Theoretical Basis Versus Expedience
2: Mathematical Prerequisites
2.1 Introduction
2.2 Algebra and Functions
2.3 Matrix Algebra
2.4 Elements of Calculus
2.5 Elementary Mathematical Statistics
3: Data and Space
3.1 Basic Sampling Theory
3.2 Errors in Modelling and Forecasting
3.3 Basic Data-Collection Methods
3.4 Stated Preference Surveys
3.5 Network and Zoning Systems
4: Trip Generation Modelling
4.1 Introduction
4.2 Regression Analysis
4.3 Cross-Classification or Category Analysis
4.4 Trip Generation and Accessibility
4.6 Forecasting Variables in Trip Generation Analysis
4.7 Stability and Updating of Trip Generation Parameters
5: Trip Distribution Modelling
5.1 Definitions and Notation
5.2 Growth-Factor Methods
5.3 Synthetic or Gravity Models
5.4 The Entropy-Maximising Approach
5.5 Calibration of Gravity Models
5.6 The Tri-proportional Approach
5.7 Other Synthetic Models
5.8 Practical Considerations
6: Modal Split and Direct Demand Models
6.1 Introduction
6.2 Factors Influencing the Choice of Mode
6.3 Trip-end Modal-split Models
6.4 Trip Interchange Heuristics Modal-split Models
6.5 Synthetic Models
6.6 Direct Demand Models
7: Discrete Choice Models
7.1 General Considerations
7.2 Theoretical Framework
7.3 The Multinomial Logit Model (MNL)
7.4 The Nested Logit Model (NL)
7.5 The Multinomial Probit Model
7.6 The Mixed Logit Model
7.7 Other Choice Models and Paradigms
8: Specification and Estimation of Discrete Choice Models
8.1 Introduction
8.2 Choice-Set Determination
8.3 Specification and Functional Form
8.4 Statistical Estimation
8.5 Estimating the Multinomial Probit Model
8.6 Estimating the Mixed Logit Model
8.7 Modelling with Stated-Preference Data
9: Model Aggregation and Transferability
9.1 Introduction
9.2 Aggregation Bias and Forecasting
9.4 Aggregation Methods
9.5 Model Updating or Transferance
10: Assignment
10.1 Basic Concepts
10.2 Traffic Assignment Methods
10.3 All-or-nothing Assignment
10.4 Stochastic Methods
10.5 Congested Assignment
10.6 Public-Transport Assignment
10.7 Limitations of the Classic Methods
10.8 Practical Considerations
11: Equilibrium and Dynamic Assignment
11.1 Introduction
11.2 Equilibrium
11.3 Transport System Equilibrium
11.4 Traffic Dynamics
11.5 Departure Time Choice and Assignment
12: Simplified Transport Demand Models
12.1 Introduction
12.2 Sketch Planning Methods
12.3 Incremental Demand Models
12.4 Model Estimation from Traffic Counts
12.5 Marginal and Corridor Models
12.6 Gaming Simulation
13: Freight Demand Models
13.1 Importance
13.2 Factors Affecting Goods Movements
13.3 Pricing Freight Services
13.4 Data Collection for Freight Studies
13.5 Aggregate Freight Demand Modelling
13.6 Disaggregate Approaches
13.7 Some Practical Issues
14: Activity Based Models
14.1 Introduction
14.2 Activities, Tours and Trips
14.3 Tours, Individuals and Representative Individuals
14.4 The ABM System
14.5 Population Synthesis
14.6 Monte Carlo and Probabilistic Processes
14.7 Structuring Activities and Tours
14.8 Solving ABM
14.9 Refining Activity or Tour Based Models
14.10 Extending Random Utility Approaches
15: Key Parameters, Planning Variables and Value Functions
15.1 Forecasting Planning Variables
15.2 Land-Use Transport Interaction Modelling
15.3 Car-Ownership Forecasting
15.4 The Value of Travel Time
15.5 Valuing External Effects of Transport
16: Pricing and Revenue
16.1 Pricing, Revenue and Forecasting
16.2 Private Sector Projects
16.4 Demand Modelling
16.5 Risk Analysis
16.6 Concluding Remarks
References
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disaggregate是什么意思
中文翻译解集解开聚集使崩溃
例句与用法1.It may also aggregate and disaggregate messages in a one - to - many relationship它还可以对一对多关系中的消息进行聚合和反聚合。 2.A questionnaire survey based on the stated preference method is conducted , and disaggregate choice models for each of the three bulk cargo owners are developed on the basis of the surveyed data此外， ?同货种之货主在港口选择时所考?之影响因素与选择?为也?一定相同。 3.Disaggregate methods are utilized in this paper to formulate the departure time and transportation mode double class nested logic models , and then the arithmetic of the model is analyzed利用非集计方法，构造了旅客出发时刻和运输方式选择行为的双层巢式逻辑决策模型，并对模型参数的估计方法进行分析。 4.Taking the disaggregate model the relation between bus - ticket price and traffic flux redistribute is discussed and the influerce of bus - ticket price to the city traffic is confirmed采用非集计模型，以票价作为模型参数进行模拟分析，探讨公交票价定价与公共交通流量重新分配的关系，确定公共交通票价定价对城市交通的影响。 5.It has changed the peasants ' traditional living style and production style , making the nature economy , which centered around agriculture and family handicraft industry , lose its existing basis and disaggregate in the end它改变了农民传统的生活方式和生产方式，使得以农业和家庭手工业结合为核心的自然经济失去了存在的根基，乃至最终瓦解。 6.Based on rum ( random utility maximization ) logit model is disaggregate method in modern traffic planning theory . because of small investigating capability with accurate prediction logit model is valuable in mode - split researchLogit模型是基于最大效用原则的离散选择模型。由于其不需要很大的调查样本却同样能提供较准确的分类信息，它在交通方式划分研究上有着广泛的应用前景。 7.About 2s after fertilization in 17 , sperms arrive 3s , sperm penetrates into ovum where
5s , the spermas 20s , fertilizat 60s , sperms in micropylar apparatus begin to disaggregate精子在受精2s到达精孔管， 3s进入卵子， 5s形成精子星光， 20s形成受精塞， 60s后精孔器内精子开始溶解。有多精入卵现象，极少数卵子多精受精。 8.Based on the disaggregate model thought , a traffic modal splitting model based on fnn is proposed , and the passenger quantity partaking proportion of urban railway transit and transferring passenger quantity proportion in hub station are fixed by fnn model基于非集计模型的思想,建立一种基于模糊神经网络( fnn )的交通方式划分模型,并利用fnn模型对轨道交通客流分担率和轨道交通枢纽站内与交通方式的换乘比例进行划分。 9.Basing on background of urban transportation planning , the thesis presents a stdm of urban transportation and gives a special emphasis to spatiotemporal representation of point feature , line feature and area feature of transportation planning basic information , treatment of disaggregate travel data , and management of planning project本论文以城市交通规划为背景，对城市交通规划时空数据模型的设计方法进行了讨论，提出了一个城市交通规划时空数据模型。论文着重对交通规划基础信息面状要素、线。 。
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