All Stories

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