All Stories

  1. Assessing the impact of cycling infrastructure: A non-linear hedonic model for Santiago de Chile
  2. Estimating willingness-to-pay from discrete choice models: Setting the record straight
  3. Characterising public transport shifting to active and private modes in South American capitals during the COVID-19 pandemic
  4. Framework for designing sample travel surveys for transport demand modelling in cities: some comments
  5. Quantifying behavioural difference in latent class models to assess empirical identifiability: Analytical development and application to multiple heuristics
  6. Future transportation: Sustainability, complexity and individualization of choices
  7. From mathematical models to policy design: Predicting greywater reuse scheme effectiveness and water reclamation benefits based on individuals’ preferences
  8. Forecasting with a joint mode/time-of-day choice model based on combined RP and SC data
  9. Revisiting the Benefits of Combining Data of a Different Nature: Strategic Forecasting of New Mode Alternatives
  10. Forecasting with strategic transport models corrected for endogeneity
  11. Is there room for a room‐tax in the Canary Islands?
  12. Assessing the potential acceptability of road pricing in Santiago
  13. Capturing and analysing heterogeneity in residential greywater reuse preferences using a latent class model
  14. Using hybrid choice models to capture the impact of attitudes on residential greywater reuse preferences
  15. Subjective valuation of tangible and intangible heritage neighbourhood attributes
  16. Understanding the preferences for different types of urban greywater uses and the impact of qualitative attributes
  17. A semi-compensatory choice model with probabilistic choice set: combining implicit choice set within probabilistic choice set formation
  18. How to categorize individuals on the basis of underlying attitudes? A discussion on latent variables, latent classes and hybrid choice models
  19. The role of habit and the built environment in the willingness to commute by bicycle
  20. Addressing endogeneity in strategic urban mode choice models
  21. Estimating bicycle demand in an aggressive environment
  22. Traffic accident risk perception among drivers: a latent variable approach
  23. Forecasting the Quality of Service of Bogota’s Sidewalks from Pedestrian Perceptions: An Ordered Probit MIMIC Approach
  24. Heterogeneity and college choice: Latent class modelling for improved policy making
  25. On evasion behaviour in public transport: Dissatisfaction or contagion?
  26. Sustainable Urban Mobility: What Can Be Done to Achieve It?
  27. Pedestrian safety perception and urban street settings: a comment
  28. Understanding public transport satisfaction: Using Maslow's hierarchy of (transit) needs
  29. On de-bunking 'Fake News' in a post truth era: Special editorial
  30. On the effect of operational service attributes on transit satisfaction
  31. Preferences for sustainable mobility in natural areas: The case of Teide National Park
  32. The role of critical incidents and involvement in transit satisfaction and loyalty
  33. Fifty years of Transportation Research journals: A bibliometric overview
  34. A comparison of bus passengers’ and car drivers’ valuation of casualty risk reductions in their routes
  35. Shared taxis: modelling the choice of a paratransit mode in Santiago de Chile
  36. Effect of critical incidents on public transport satisfaction and loyalty: an Ordinal Probit SEM-MIMIC approach
  37. Extended Methodology for the Estimation of a Zonal Origin-Destination Matrix: A Planning Software Application Based on Smartcard Trip Data
  38. Modelling service-specific and global transit satisfaction under travel and user heterogeneity
  39. Discrete choice models
  40. The Stochastic Satisficing model: A bounded rationality discrete choice model
  41. Demand for environmentally friendly vehicles: A review and new evidence
  42. Analyzing the continuity of attitudinal and perceptual indicators in hybrid choice models
  43. Towards a sustainable city: Applying urban renewal incentives according to the social and urban characteristics of the area
  44. Modelling consumers' heterogeneous preferences: a case study with Chilean wine consumers
  45. Electric vehicles potential market
  46. If you choose not to decide, you still have made a choice
  47. Modelling correlation patterns in mode choice models estimated on multiday travel data
  48. Decreasing fare evasion without fines? A microeconomic analysis
  49. Estimating the value of risk reductions for car drivers when pedestrians are involved: a case study in Spain
  50. User preferences and route choice
  51. Valuing crowding in public transport: Implications for cost-benefit analysis
  52. Designing incentive packages for increased density and social inclusion in the neighbourhood of mass transit stations
  53. New variables for detecting transport disadvantages. The role of social capital
  54. Modelling choice when price is a cue for quality: a case study with Chinese consumers
  55. What is behind fare evasion in urban bus systems? An econometric approach
  56. About attitudes and perceptions: finding the proper way to consider latent variables in discrete choice models
  57. RETREC special issue on bicycles and cycleways
  58. Reflections on citizen-technical dialogue as part of cycling-inclusive planning in Santiago, Chile
  59. A joint best–worst scaling and stated choice model considering observed and unobserved heterogeneity: An application to residential location choice
  60. Car drivers’ valuation of landslide risk reductions
  61. Accounting for stochastic variables in discrete choice models
  62. Methodological challenges in modelling the choice of mode for a new travel alternative using binary stated choice data – The case of high speed rail in Norway
  63. Asymmetric preferences for road safety: Evidence from a stated choice experiment among car drivers
  64. Increasing the acceptability of a congestion charging scheme
  65. Use of Mixed Stated and Revealed Preference Data for Crowding Valuation on Public Transport in Santiago, Chile
  66. Dealing with collinearity in travel time valuation
  67. Restricting the use of cars by license plate numbers: A misguided urban transport policy
  68. Importance of Dwelling, Neighbourhood Attributes in Residential Location Modelling: Best Worst Scaling vs. Discrete Choice
  69. Modelling parking choices considering user heterogeneity
  70. Valuation of travel time savings for intercity travel: The Madrid-Barcelona corridor
  71. Burying the Highway: The Social Valuation of Community Severance and Amenity
  72. Exploring the role of social capital influence variables on travel behaviour
  73. Assignment
  74. Modeling the Effects of Pro Bicycle Infrastructure and Policies Toward Sustainable Urban Mobility
  75. A long panel survey to elicit variation in preferences and attitudes in the choice of electric vehicles
  76. Is Sequential Estimation a Suitable Second Best for Estimation of Hybrid Choice Models?
  77. Valuing casualty risk reductions from estimated baseline risk
  78. Valuation of housing and neighbourhood attributes for city centre location: A case study in Santiago
  79. An Azobenzene Unit Embedded in a Cyclopeptide as a Type‐Specific and Spatially Directed Switch
  80. Integration of Spatial Correlation into a Combined Travel Model with Hierarchical Levels
  81. Survey Data to Model Time-of-Day Choice: Methodology and Findings
  82. Workshop Synthesis: Survey Methods to Inform Policy Makers on Energy, Environment, Climate and Natural Disasters
  83. Subjective valuation of the transit transfer experience: The case of Santiago de Chile
  84. Practical and empirical identifiability of hybrid discrete choice models
  85. Development of Surveys for Study of Departure Time Choice
  86. On the variability of hybrid discrete choice models
  87. Sea urchin: From plague to market opportunity
  88. Information processing in choice‐based conjoint experiments
  89. Continuous Mobility Surveys: The State of Practice
  90. How to go on when you wish to model a transport system for planning and project evaluation
  91. Activity Based Models
  92. Equilibrium and Dynamic Assignment
  93. Freight Demand Models
  94. Key Parameters, Planning Variables and Value Functions
  95. Modal Split and Direct Demand Models
  96. Model Aggregation and Transferability
  97. Simplified Transport Demand Models
  98. Specification and Estimation of Discrete Choice Models
  99. Trip Distribution Modelling
  100. Trip Generation Modelling
  101. On the Use of Mixed RP/SP Models in Prediction: Accounting for Systematic and Random Taste Heterogeneity
  102. Estimating the Value of Risk Reduction for Pedestrians in the Road Environment: An Exploratory Analysis
  103. Sequential and Simultaneous Estimation of Hybrid Discrete Choice Models
  104. Defining Interalternative Error Structures for Joint Revealed Preference-Stated Preference Modeling
  105. Inclusion of latent variables in Mixed Logit models: Modelling and forecasting
  106. Can mixed logit reveal the actual data generating process? Some implications for environmental assessment
  107. On the Treatment of Repeated Observations in Panel Data: Efficiency of Mixed Logit Parameter Estimates
  108. Methodological advancements in constructing designs and understanding respondent behaviour related to stated preference experiments
  109. Thresholds and indifference in stated choice surveys
  110. Estimating individual preferences with flexible discrete-choice-models
  111. Forecasting vs. observed outturn: Studying choice in faster inter-island connections
  112. Modelling Choice in a Changing Environment: Assessing the Shock Effects of a New Transport System
  113. Incorporating demographics into discrete choice analysis: a brief comment
  114. Large-Scale Ongoing Mobility Surveys: The State of Practice
  115. The Santiago Panel: measuring the effects of implementing Transantiago
  116. Estimating the willingness to pay and value of risk reduction for car occupants in the road environment
  117. Identifying differences in willingness to pay due to dimensionality in stated choice experiments: a cross country analysis
  118. Modelling the demand for medium distance air travel with the mixed data estimation method
  119. Identifying Transit Driver Preferences for Work Shift Structures: An Econometric Analysis
  120. Empirical Identification in the Mixed Logit Model: Analysing the Effect of Data Richness
  121. On Confounding Preference Heterogeneity and Income Effect in Discrete Choice Models
  122. Understanding suburban travel demand: Flexible modelling with revealed and stated choice data
  123. Modeling Discrete Choices in the Presence of Inertia and Serial Correlation
  124. Cuantificando la Percepción de Inseguridad Ciudadana en Barrios de Escasos Recursos
  125. Costing School Transport in Spain
  126. Implications of Thresholds in Discrete Choice Modelling
  127. A discrete choice model incorporating thresholds for perception in attribute values
  128. Travel Survey Methods in Latin America
  129. Estimating the Willingness‐to‐Pay for Road Safety Improvements
  130. Introduction
  131. Confidence Interval for Willingness to Pay Measures in Mode Choice Models
  132. Preface
  133. Analysing Demand for Suburban Trips: A Mixed RP/SP Model with Latent Variables and Interaction Effects
  134. Income, Time Effects and Direct Preferences in a Multimodal Choice Context: Application of Mixed RP/SP Models with Non-Linear Utilities
  135. Preface
  136. On fitting mode specific constants in the presence of new options in RP/SP models
  137. Preference Heterogeneity and Willingness to Pay for Travel Time Savings
  138. A semi-compensatory discrete choice model with explicit attribute thresholds of perception
  139. Assessing the influence of design dimensions on stated choice experiment estimates
  140. Valuing noise level reductions in a residential location context
  141. Willingness-to-Pay Estimation with Mixed Logit Models: Some New Evidence
  142. On the joint valuation of averting fatal and severe injuries in highway accidents
  143. Willingness-to-pay for reducing fatal accident risk in urban areas: an Internet-based Web page stated preference survey
  144. On Best Practice in Continuous Large‐scale Mobility Surveys
  145. El problema de modelación de demanda desde una perspectiva desagregada: el caso del transporte
  146. Microeconomic Formulation and Estimation of a Residential Location Choice Model: Implications for the Value of Time
  147. From Respondent Burden to Respondent Delight
  148. Stated preference in the valuation of interurban road safety
  149. Desplazamientos: ¿Es posible reducir la congestión?
  150. Displacements: Is it possible to reduce vehicular congestion?
  151. Valuing reductions in environmental pollution in a residential location context
  152. Willingness to Pay for Social Housing Attributes: A Case Study from Chile
  153. Methodological Developments
  154. Review and assessment of the nested logit model
  155. Confidence intervals to bound the value of time
  156. On the development of the nested logit model
  157. Valuation of Road Fatalities
  158. Application of Willingness-to-Pay Methods to Value Transport Externalities in Less Developed Countries
  159. Valuing Accidents Using Stated Preference Methods
  160. Estimating demand for a cycle-way network
  161. Representation of heteroskedasticity in discrete choice models
  162. Stated Preferences in Modelling Accessibility
  163. Modelling new pricing strategies for the Santiago Metro
  164. Mixed modelling of interurban trips by coach and train
  165. Foreword
  166. Deriving Public Transport Level of Service Weights from a Multiple Comparison of Latent and Observable Variables
  167. Deriving Public Transport Level of Service Weights from a Multiple Comparison of Latent and Observable Variables
  168. A practical assessment of stated preferences methods
  169. On the semantic scale problem in stated preference rating experiments
  170. Flexible long range planning using low cost information
  171. Value of time sensitivity to model specification
  172. The crisis for transportation planning modelling: A comment
  173. Evaluating marginal improvements to a transport network: An application to the Santiago underground
  174. On the stability of discrete choice models in different environments
  175. Intuition and models in transport management
  176. Modal Choice Modelling for Several Alternatives: Application of Disaggregate Demand Models in Santiago, Chile
  177. Nested logit models for mixed-mode travel in urban corridors
  178. Comment
  179. Foreword
  180. Travel demand and response analysis—Some integrating themes
  181. Behavioural theories of dispersion and the mis-specification of travel demand models
  182. Fundamentals of discrete multimodal choice modelling
  183. Modelling park'n ride and kiss'n ride as submodal choices
  184. Mixed‐mode travel demand forecasting techniques
  185. Some generalizations and applications of the velocity field concept: Trip patterns in idealized cities
  186. Transport research needs
  187. Valuing transport externalities
  188. Analyzing the Continuity of Attitudinal and Perceptional Indicators in Hybrid Choice Models
  189. About the Categorization of Latent Variables in Hybrid Choice Models
  190. Valuation of Transport Externalities by Stated Choice Methods
  191. Transport planning
  192. About Attitudes and Perceptions: Finding the Proper Way to Consider Latent Variables in Discrete Choice Models
  193. On the perception of safety in low income neighbourhoods: using digital images in a stated choice experiment
  194. Obtaining Public Transport Level-of-Service Measures Using In-Vehicle GPS Data and Freely Available GIS Web-Based Tools