All Stories

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