All Stories

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