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Choice modelling [[electronic resource] ] : the state-of-the-art and the state-of-practice : proceedings from the inaugural International Choice Modelling Conference / / edited by Stephane Hess, Andrew Daly
| Choice modelling [[electronic resource] ] : the state-of-the-art and the state-of-practice : proceedings from the inaugural International Choice Modelling Conference / / edited by Stephane Hess, Andrew Daly |
| Pubbl/distr/stampa | Bingley, : Emerald Group Publ, 2010 |
| Descrizione fisica | 1 online resource (638 p.) |
| Disciplina | 330.015196 |
| Altri autori (Persone) |
HessStephane
DalyAndrew John |
| Collana | Proceedings from the Inaugural International Choice Modelling Conference |
| Soggetto topico |
Transportation - General
Transport industries Economics - Mathematical models Decision making - Mathematical models Transportation - Mathematical models Choice of transportation - Mathematical models |
| ISBN |
1-282-50008-2
9786612500084 1-84950-773-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Sociality, rationality, and the ecology of choice / Daniel McFadden -- Planning and action in a model of choice / Moshe Ben-Akiva -- Attribute processing, heuristics, and preference construction in choice analysis / David A. Hensher -- The multiple discrete-continuous extreme value (MDCEV) model : formulation and applications / Chandra R. Bhat, Naveen Eluru -- Capturing human perception of facial expressions by discrete choice modelling / Matteo Sorci ... [et al.] -- Serial choice conjoint analysis for estimating discrete choice models / Michiel C.J. Bliemer, John M. Rose -- Observed efficiency of a D-optimal design in an interactive agency choice experiment / Sean M. Puckett, John M. Rose -- Effects of stated choice design dimensions on model estimates / Phani Kumar Chintakayala ... [et al.] -- Stated choice experimental designs for scheduling models / Paul Koster, Yin-Yen Tseng -- Systematically heterogeneous covariance in network GEV models / Jeffrey P. Newman --
What do we really know about travellers' response to unreliability? / Yaron Hollander -- Optimizing product portfolios using discrete choice modeling and TURF / Thomas J. Adler, Colin Smith, Jeffrey Dumont -- Preference stability : modelling how consumer preferences shift after receiving new product information / Harmen Oppewal ... [et al.] -- Investigating willingness to pay -willingness to accept asymmetry in choice experiments / Bruno Lanz ... [et al.] -- Clustering ranked preference data using sociodemographic covariates / Isobel Claire Gormley, Thomas Brendan Murphy -- Continuous versus discrete representation of investing firm heterogeneity in modelling FDI location decisions / Simona Rasciute, Eric J. Pentecost -- Development of integrated choice and latent variable (ICLV) models for the residential relocation decision in island areas / Eleni Kitrinou, Amalia Polydoropoulou, Denis Bolduc. |
| Record Nr. | UNINA-9910780961203321 |
| Bingley, : Emerald Group Publ, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modelling transport [[electronic resource] /] / Juan de Dios Ortúzar, Luis G. Willumsen
| Modelling transport [[electronic resource] /] / Juan de Dios Ortúzar, Luis G. Willumsen |
| Autore | Ortúzar Juan de Dios (Ortúzar Salas), <1949-> |
| Edizione | [4th ed.] |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom, : John Wiley & Sons, 2011 |
| Descrizione fisica | 1 online resource (608 p.) |
| Disciplina |
388.01/5118
388.011 |
| Soggetto topico |
Transportation - Mathematical models
Choice of transportation - Mathematical models Trip generation - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-40548-2
9786613405487 1-119-99330-X 1-119-99331-8 |
| Classificazione | TEC009020 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
MODELLINGTRANSPORT; Contents; About the Authors; Preface; 1 Introduction; 1.1 Transport Planning and Modelling; 1.1.1 Background; 1.1.2 Models and their Role; 1.2 Characteristics of Transport Problems; 1.2.1 Characteristics of Transport Demand; 1.2.2 Characteristics of Transport Supply; 1.2.3 Equilibration of Supply and Demand; 1.3 Modelling and Decision Making; 1.3.1 Decision-making Styles; 1.3.2 Choosing Modelling Approaches; 1.4 Issues in Transport Modelling; 1.4.1 General Modelling Issues; 1.4.2 Aggregate and Disaggregate Modelling; 1.4.3 Cross-section and Time Series
1.4.4 Revealed and Stated Preferences1.5 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; 2.2.1 Introduction; 2.2.2 Functions and Graphs; 2.2.3 Sums of Series; 2.3 Matrix Algebra; 2.3.1 Introduction; 2.3.2 Basic Operations of Matrix Algebra; 2.4 Elements of Calculus; 2.4.1 Differentiation; 2.4.2 Integration; 2.4.3 The Logarithmic and Exponential Functions; 2.4.4 Finding Maximum and Minimum Values of Functions 2.4.5 Functions of More Than One Variable2.4.6 Multiple Integration; 2.4.7 Elasticities; 2.4.8 Series Expansions; 2.5 Elementary Mathematical Statistics; 2.5.1 Probabilities; 2.5.2 Random Variables; 2.5.3 Moments around Zero; 2.5.4 More Advanced Statistical Concepts; 3 Data and Space; 3.1 Basic Sampling Theory; 3.1.1 Statistical Considerations; 3.1.2 Conceptualisation of the Sampling Problem; 3.1.3 Practical Considerations in Sampling; 3.2 Errors in Modelling and Forecasting; 3.2.1 Different Types of Error; 3.2.2 The Model Complexity/Data Accuracy Trade-off; 3.3 Basic Data-Collection Methods 3.3.1 Practical Considerations3.3.2 Types of Surveys; 3.3.3 Survey Data Correction, Expansion and Validation; 3.3.4 Longitudinal Data Collection; 3.3.5 Travel Time Surveys; 3.4 Stated Preference Surveys; 3.4.1 Introduction; 3.4.2 The Survey Process; 3.4.3 Case Study Example; 3.5 Network and Zoning Systems; 3.5.1 Zoning Design; 3.5.2 Network Representation; Exercises; 4 Trip Generation Modelling; 4.1 Introduction; 4.1.1 Some Basic Definitions; 4.1.2 Characterisation of Journeys; 4.1.3 Factors Affecting Trip Generation; 4.1.4 Growth-factor Modelling; 4.2 Regression Analysis 4.2.1 The Linear Regression Model4.2.2 Zonal-based Multiple Regression; 4.2.3 Household-based Regression; 4.2.4 The Problem of Non-Linearity; 4.2.5 Obtaining Zonal Totals; 4.2.6 Matching Generations and Attractions; 4.3 Cross-Classification or Category Analysis; 4.3.1 The Classical Model; 4.3.2 Improvements to the Basic Model; 4.3.3 The Person-category Approach; 4.4 Trip Generation and Accessibility; 4.5 The Frequency Choice Logit Model; 4.6 Forecasting Variables in Trip Generation Analysis; 4.7 Stability and Updating of Trip Generation Parameters; 4.7.1 Temporal Stability 4.7.2 Geographic Stability |
| Record Nr. | UNINA-9910133220203321 |
Ortúzar Juan de Dios (Ortúzar Salas), <1949->
|
||
| Chichester, West Sussex, United Kingdom, : John Wiley & Sons, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modelling transport [[electronic resource] /] / Juan de Dios Ortúzar, Luis G. Willumsen
| Modelling transport [[electronic resource] /] / Juan de Dios Ortúzar, Luis G. Willumsen |
| Autore | Ortúzar Juan de Dios (Ortúzar Salas), <1949-> |
| Edizione | [4th ed.] |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom, : John Wiley & Sons, 2011 |
| Descrizione fisica | 1 online resource (608 p.) |
| Disciplina |
388.01/5118
388.011 |
| Soggetto topico |
Transportation - Mathematical models
Choice of transportation - Mathematical models Trip generation - Mathematical models |
| ISBN |
1-283-40548-2
9786613405487 1-119-99330-X 1-119-99331-8 |
| Classificazione | TEC009020 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
MODELLINGTRANSPORT; Contents; About the Authors; Preface; 1 Introduction; 1.1 Transport Planning and Modelling; 1.1.1 Background; 1.1.2 Models and their Role; 1.2 Characteristics of Transport Problems; 1.2.1 Characteristics of Transport Demand; 1.2.2 Characteristics of Transport Supply; 1.2.3 Equilibration of Supply and Demand; 1.3 Modelling and Decision Making; 1.3.1 Decision-making Styles; 1.3.2 Choosing Modelling Approaches; 1.4 Issues in Transport Modelling; 1.4.1 General Modelling Issues; 1.4.2 Aggregate and Disaggregate Modelling; 1.4.3 Cross-section and Time Series
1.4.4 Revealed and Stated Preferences1.5 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; 2.2.1 Introduction; 2.2.2 Functions and Graphs; 2.2.3 Sums of Series; 2.3 Matrix Algebra; 2.3.1 Introduction; 2.3.2 Basic Operations of Matrix Algebra; 2.4 Elements of Calculus; 2.4.1 Differentiation; 2.4.2 Integration; 2.4.3 The Logarithmic and Exponential Functions; 2.4.4 Finding Maximum and Minimum Values of Functions 2.4.5 Functions of More Than One Variable2.4.6 Multiple Integration; 2.4.7 Elasticities; 2.4.8 Series Expansions; 2.5 Elementary Mathematical Statistics; 2.5.1 Probabilities; 2.5.2 Random Variables; 2.5.3 Moments around Zero; 2.5.4 More Advanced Statistical Concepts; 3 Data and Space; 3.1 Basic Sampling Theory; 3.1.1 Statistical Considerations; 3.1.2 Conceptualisation of the Sampling Problem; 3.1.3 Practical Considerations in Sampling; 3.2 Errors in Modelling and Forecasting; 3.2.1 Different Types of Error; 3.2.2 The Model Complexity/Data Accuracy Trade-off; 3.3 Basic Data-Collection Methods 3.3.1 Practical Considerations3.3.2 Types of Surveys; 3.3.3 Survey Data Correction, Expansion and Validation; 3.3.4 Longitudinal Data Collection; 3.3.5 Travel Time Surveys; 3.4 Stated Preference Surveys; 3.4.1 Introduction; 3.4.2 The Survey Process; 3.4.3 Case Study Example; 3.5 Network and Zoning Systems; 3.5.1 Zoning Design; 3.5.2 Network Representation; Exercises; 4 Trip Generation Modelling; 4.1 Introduction; 4.1.1 Some Basic Definitions; 4.1.2 Characterisation of Journeys; 4.1.3 Factors Affecting Trip Generation; 4.1.4 Growth-factor Modelling; 4.2 Regression Analysis 4.2.1 The Linear Regression Model4.2.2 Zonal-based Multiple Regression; 4.2.3 Household-based Regression; 4.2.4 The Problem of Non-Linearity; 4.2.5 Obtaining Zonal Totals; 4.2.6 Matching Generations and Attractions; 4.3 Cross-Classification or Category Analysis; 4.3.1 The Classical Model; 4.3.2 Improvements to the Basic Model; 4.3.3 The Person-category Approach; 4.4 Trip Generation and Accessibility; 4.5 The Frequency Choice Logit Model; 4.6 Forecasting Variables in Trip Generation Analysis; 4.7 Stability and Updating of Trip Generation Parameters; 4.7.1 Temporal Stability 4.7.2 Geographic Stability |
| Record Nr. | UNINA-9910677180203321 |
|
Ortúzar Juan de Dios (Ortúzar Salas), <1949->
|
||
| Chichester, West Sussex, United Kingdom, : John Wiley & Sons, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Travel behavior characteristics analysis technology based on mobile phone location data : methodology and empirical research / / Fei Yang and Zhenxing Yao
| Travel behavior characteristics analysis technology based on mobile phone location data : methodology and empirical research / / Fei Yang and Zhenxing Yao |
| Autore | Yang Fei <1980-> |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (235 pages) |
| Disciplina | 388.4 |
| Soggetto topico |
Choice of transportation - Mathematical models
Planificació del transport Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
981-16-8007-8
981-16-8008-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- List of Figures -- Contents -- List of Tables -- Foreword -- 1 Introduction -- 1.1 General -- 1.1.1 Drawbacks of Individual Travel Survey Methods -- 1.1.2 Advantages of Mobile Phone Sensor Survey Methods -- 1.1.3 Traffic Demand Analysis Model Development Challenges -- 1.1.4 New Opportunities in the Era of Traffic Big Data -- 1.2 Target and Values of Mobile Phone Data Based Travel Survey Method -- 1.3 From Mobile Phone Location Data to Travel Information -- 1.3.1 Mobile Phone Location Data Collection and Analysis -- 1.3.2 Refined Travel Information Extraction and Collection -- 1.3.3 'Man-Vehicle-Communication' Simulation Platform Construction and Simulation -- 1.3.4 Empirical Study and Performance Evaluation -- 1.3.5 Challenges Faced by Travel Information Detection and Analysis -- 1.4 Summary -- 2 Literature Review -- 2.1 Types and Characteristics of Mobile Data Based Travel Survey Method -- 2.1.1 Mobile Phone Sensor Data Based Travel Survey Method -- 2.1.2 Mobile Phone Signaling Data Based Travel Survey Method -- 2.1.3 Mobile Phone Social Network Data Based Travel Survey Method -- 2.2 Overview and Summary of Existing Researches and Applications -- 2.3 Individual Travel Behavior Analysis Based on Mobile Phone Signaling Data -- 2.3.1 Dynamic Monitoring of Residents' Travel Activities -- 2.3.2 Regional and Cross-Section Passenger Flow Analysis -- 2.4 Individual Travel Behavior Analysis Based on Mobile Phone Sensor Data -- 2.4.1 Trip Chain Information Extraction -- 2.4.2 Resident Travel Survey Application -- 2.5 Activity Hotspots Analysis Based on Wi-Fi Data -- 2.6 Individual Travel Behavior Analysis Based on Mobile Phone Social Network Data -- 2.6.1 Resident Travel Characteristics Detection -- 2.6.2 Trip OD Estimation -- 2.6.3 Characteristics of Job and Residence Distribution -- 2.7 Research Summary and Trend -- References.
3 Methodology for Mobile Phone Location Data Mining -- 3.1 Technology Structure for Individual Travel Chain Information Extraction -- 3.2 Trip End Recognition Based on Spatial Clustering Algorithm -- 3.3 Mode Transfer Point Recognition Based on Wavelet Analysis Algorithm -- 3.4 Travel Mode Recognition Based on Machine Learning Algorithm -- 3.4.1 Neural Network Algorithm -- 3.4.2 Support Vector Machine Algorithm -- 3.4.3 Bayesian Network Algorithm -- 3.4.4 Random Forest Algorithm -- 3.5 Trip Chain Information Optimization Based on GIS Map Matching -- 3.6 Summary -- References -- 4 Mobile Phone Sensor Data Collection and Analysis -- 4.1 Data Collection App Development -- 4.1.1 Function Description -- 4.1.2 Operation Interface -- 4.2 Database Construction and Management -- 4.3 Privacy and Data Security -- 4.4 Characteristics Analysis of Mobile Phone Sensor Data -- 4.4.1 GPS Data Accuracy and Quality -- 4.4.2 Spatial-temporal Travel Characteristics -- 4.4.3 Travel Trajectory Point Density -- 4.4.4 Travel Speed Characteristics -- 4.4.5 Travel Acceleration Characteristics -- 4.5 Summary -- 5 'Pedestrian-Traffic Flow-Communication' Integrated Simulation Platform Construction -- 5.1 Framework of the Simulation Platform -- 5.2 Traffic Environment and Individual Travel Simulation -- 5.2.1 Traffic Environment Design -- 5.2.2 Individual Travel Module Construction and Simulation -- 5.3 Wireless Communication Simulation -- 5.3.1 Wireless Communication Events Description and Simulation -- 5.3.2 Mobile Communication Signal Propagation Simulation -- 5.3.3 A Case Study of Wireless Communication Simulation -- 5.4 Mobile Phone Sensor Data Simulation -- 5.4.1 Data Disturbance Loading Method and Simulation -- 5.4.2 A Case Study of Mobile Phone Sensor Data Simulation -- 5.5 Summary -- References. 6 Empirical Study on Trip Information Extraction Based on Mobile Phone Sensor Data -- 6.1 Experiment Design and Data Collection -- 6.1.1 Travel Plan for Different Travel Purposes -- 6.1.2 Travel Plan for Multiple Modes -- 6.1.3 Travel Plan for Different Traffic Conditions -- 6.1.4 Travel Log Collection -- 6.2 Empirical Study of Trip End Recognition Based on Spatial Clustering Algorithm -- 6.2.1 Model Parameter Configuration -- 6.2.2 A Case Study of Trip End Recognition and Travel Trajectory Cutting -- 6.2.3 Results and Error Analysis -- 6.3 Empirical Study of Mode Transfer Point Recognition Based on Wavelet Transform Modulus Maximum Algorithm -- 6.3.1 Model Parameter Configuration -- 6.3.2 A Case Study of Mode Transfer Point Recognition -- 6.3.3 Results and Error Analysis -- 6.4 Empirical Study of Travel Mode Recognition Based on Neural Network Algorithm -- 6.4.1 Model Parameter Configuration -- 6.4.2 A Case Study of Traffic Mode Recognition -- 6.4.3 Results and Error Analysis -- 6.5 Empirical Study of Travel Chain Recognition Optimization Based on GIS Map Matching -- 6.5.1 Model Parameter Configuration -- 6.5.2 A Case Study of Travel Mode Recognition Optimization -- 6.5.3 Results and Error Analysis -- 6.6 Summary -- 7 Influence Parameters and Sensitivity Analysis -- 7.1 Influencing Factors and Mechanism -- 7.2 Data Characteristics Under Different Experiment Conditions -- 7.2.1 Data Collection -- 7.2.2 Data Analysis -- 7.3 Sensitivity Analysis of Travel Mode Recognition -- 7.3.1 Influence of Algorithms -- 7.3.2 Influence of Data Sampling Frequency -- 7.3.3 Influence of Traffic Condition -- 7.4 Sensitivity Analysis of Mode Transfer Time Recognition -- 7.4.1 Influence of Algorithm -- 7.4.2 Influence of Data Sampling Frequency -- 7.4.3 Influence of Traffic Condition. 7.5 Sensitivity Analysis of Trip Chain Information Recognition Based on Simulation Data -- 7.5.1 Sensitivity Analysis of Travel Mode -- 7.5.2 Sensitivity Analysis of Mode Transfer Time -- 7.6 Summary -- 8 Thinking About Application of Refined Travel Data in Traffic Planning -- 8.1 Optimizing the Traditional Four-Step Method -- 8.2 Optimizing the Layout of Bus Stations and Network -- 8.3 Constructing Activity Based Traffic Demand Model -- 8.4 Other Applications -- 9 Outlook -- 9.1 Technical Efficiency and Universal Upgrading -- 9.2 Multiple Heterogeneous Data Integrating -- 9.3 Traffic Planning Theories and Models Upgrading. |
| Record Nr. | UNINA-9910743211203321 |
|
Yang Fei <1980->
|
||
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
