TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| A | |
| Access to education | |
| Active inference | |
| activity duration | |
| activity regularity | |
| activity time-use | |
| Activity timing | |
| Activity type and duration choice model | |
| activity-based modelling | |
| activity-based travel model | |
| Activity-travel survey | |
| adaptive design | |
| Address-based sample | |
| AFC data | |
| Aggregation functions | |
| agri-environmental-climate measures | |
| air pollution | |
| air travel | |
| Alternative Fuel Vehicles | |
| alternative specific constants | |
| Amortized variational inference | |
| Analytical formula | |
| anchoring | |
| anchoring effect | |
| ANNs | |
| aquaculture expansion | |
| attitudes | |
| Attribute cut-offs | |
| attribute non-attendance | |
| autoencoder | |
| Automated vehicles | |
| automobile market | |
| Autonomous vehicle | |
| Autonomous Vehicles | |
| B | |
| Bayesian estimation | |
| Bayesian inference | |
| Bayesian Markov chain Monte Carlo | |
| Bayesian modelling | |
| Bayesian Multivariate Ordered Probit & Tobit model | |
| Behavior Modelling | |
| Behavioral | |
| behavioral modeling | |
| Behavioural change | |
| Behavioural choice model | |
| Behavioural economics | |
| behavioural finance | |
| belief updating | |
| benefit transfer | |
| Benefit transfer and choice modelling | |
| Best-worst choice experiment | |
| Bicycle Route Choice | |
| Bicycle traffic | |
| Big data | |
| big data application | |
| binary choice | |
| Biodiversirty value | |
| biodiversity | |
| biodiversity protection | |
| Bogotá | |
| brand value | |
| Brazil | |
| C | |
| Cable car | |
| Capacity constraints | |
| Car choice preference | |
| Car ownership | |
| Car use | |
| categorical embeddings | |
| CES | |
| Changes of mobility patterns | |
| charging behaviour | |
| charging infrastructure | |
| Charging preferences | |
| cheap talk | |
| Choice context | |
| choice experiment | |
| Choice experiments | |
| Choice heuristic | |
| choice model | |
| Choice modelling | |
| Choice set formation | |
| choice set generation | |
| Choice-set formation | |
| Choquet integral | |
| climate change adaptation | |
| climate chnange adaptation | |
| clustering | |
| cognitive biases | |
| Commitment to survey | |
| Common Agricultural Policy | |
| compensation variation | |
| complementarity | |
| composite marginal likelihood | |
| confirmation bias | |
| Conflict | |
| Consequentiality | |
| conservation | |
| Consideration of alternatives | |
| Consideration set | |
| Consideration-then-choose | |
| Consumers Preferences | |
| context-aware | |
| Contextual priming | |
| Control versus Treatment | |
| Copula functions | |
| coronavirus | |
| Correlated random parameter logit model | |
| correlation | |
| cost vector | |
| cost vector design | |
| Count Data | |
| COVID | |
| COVID impact survey | |
| COVID-19 | |
| COVID-19 pandemic | |
| Covid-19 vaccination | |
| Cross country comparison | |
| cultural economics | |
| cultural heritage | |
| customer value | |
| cycling | |
| D | |
| D-optimal design | |
| Data requirements | |
| Data-driven discrete choice modeling | |
| Data-driven methods | |
| Decarbonisation | |
| Decision Field Theory | |
| Decision Makers Policy | |
| Decision Rule Heterogeneity | |
| decision rules | |
| decoy | |
| decoy effect | |
| deep hybrid models | |
| Deep learning | |
| Demand side response | |
| Destination choice | |
| Deterministic Annealing EM algorithm | |
| diabetes | |
| diagnostic services | |
| diminishing marginal utility | |
| Direct Questions | |
| disaggregate shopping behaviour | |
| Discrete and Continuous Indicators | |
| discrete choice | |
| discrete choice experiment | |
| Discrete Choice Experiments | |
| discrete choice model | |
| discrete choice modelling | |
| discrete choice models | |
| discrete-continuous choice framework | |
| discrete-count model | |
| Disjunction-of-conjunctions | |
| distance decay | |
| distance-based correlation | |
| distributional considerations | |
| distributive justice | |
| Drift Diffusion Model | |
| driver behaviour | |
| Driverless cars | |
| dynamic discrete choice model | |
| Dynamic Neural Field Model | |
| E | |
| E-scooter | |
| East-Africa | |
| eat-in choice | |
| eat-out choice | |
| eat-out venue preference | |
| economic effects | |
| Ecosystem Services | |
| efficiency | |
| Efficient design | |
| elasticities | |
| Electric vehicles | |
| elicitation formats | |
| EM algorithm | |
| Empirical ethics | |
| employment | |
| encoding methods | |
| Endogeneity | |
| endowment | |
| Energy | |
| ensemble learning | |
| environmental effects | |
| Environmental interventions | |
| environmental valuation | |
| episode-based MDCEV | |
| Equity impacts | |
| Estimation bias | |
| Evacuation Behavior | |
| Excess demand | |
| exchangeability | |
| exit choice | |
| Experimental design | |
| experimental design theory | |
| Expressive Social Capital | |
| Extreme Value | |
| Eye tracking | |
| F | |
| factorial survey experiment | |
| farmers' preferences | |
| fat yes-tails | |
| Feebate policy | |
| financial decision making | |
| Fleet fuel economy | |
| Flood Protection Services | |
| Food choice | |
| food industry | |
| forecast | |
| forecasting | |
| Formation of preferences | |
| formative measures | |
| fractional splits | |
| Framing | |
| Free energy principle | |
| Fuel conservation policy | |
| Fuel price elasticity | |
| fuel tax | |
| G | |
| Gaussian Process | |
| gender | |
| Generalized nested logit(GNL) | |
| GHDM | |
| Gini | |
| global altruism | |
| Global Heterogeneity | |
| GPS data | |
| GPS panel data | |
| gradient boosting | |
| Green Infrastructure | |
| Greenhouse Gas Emission Prediction | |
| H | |
| hazard-based duration model | |
| health disparities | |
| Health Economics | |
| health outcomes | |
| health policy | |
| health risk | |
| Heterogeneity | |
| Heterogeneous disordered traffic conditions | |
| Heterogenity of preferences | |
| heteroscedasticity | |
| Hidden Markov Model | |
| home-based telecommuting | |
| Hong Kong | |
| Horizontal choice | |
| Horizontal choice structure | |
| Hybrid choice | |
| hybrid choice model | |
| hybrid choice model (HCM) | |
| Hybrid choice models | |
| hybrid mixed logit model | |
| hybrid model | |
| Hybrid transport networks | |
| Hypothesis testing | |
| hypothetical bias | |
| I | |
| I-optimality | |
| ICLV | |
| identification | |
| Ile-de-France | |
| Importance sampling | |
| Incentive mechanisms | |
| Income elasticity | |
| Indirect Questions | |
| individual level parameter | |
| Individual-level preferences | |
| inequality | |
| Inform Decision | |
| information effects | |
| Information needs | |
| information recall | |
| Informational cues | |
| institutional racism | |
| Instrumental Social Capital | |
| Instrumental variables | |
| Integrated Choice and Latent Variable model | |
| intepretable embeddings | |
| inter-episode time | |
| Investment decisions | |
| J | |
| Joint activity engagement | |
| Joint discrete-continuous model | |
| Joint model | |
| Journey planning | |
| L | |
| large-scale networks | |
| Latent class | |
| Latent Class Choice Models | |
| Latent class cluster model | |
| latent class model | |
| Latent Class Modelling | |
| Latent class models | |
| Latent variables | |
| Latent-class logit mixture model | |
| Leisure Activity | |
| lexicographic choices | |
| local altruism | |
| Local Currency | |
| location choice | |
| logit | |
| Logit-based choice model | |
| Longitudinal model | |
| Lorenz curve | |
| M | |
| Machine learning | |
| machine learning algorithms | |
| Management of subarachnoid haemorrhage | |
| Mangroves | |
| marine plastic | |
| MATSim | |
| Maximum simulated likelihood | |
| MCMC | |
| mdc | |
| MDCEV | |
| measurement error | |
| medical testing | |
| Mental health | |
| methodological tests | |
| Methods comparison | |
| Micro Mobility | |
| MIMIC models | |
| Mixed logit | |
| Mixed logit model | |
| mixed methods | |
| Mixture coordinate exchange algorithm | |
| Mixture density network | |
| Mixture distributions | |
| Mixture experiment | |
| MMDCEV | |
| Mobile phone data | |
| mobility profiles | |
| Mode choice | |
| Model averaging | |
| Model estimation | |
| Model of recreational demand | |
| Model selection | |
| Monte Carlo simulation | |
| Moral decision | |
| Moral decision-making | |
| Moral Foundation Theory | |
| Moral psychology | |
| Motorcycle taxis | |
| Motorway externalities | |
| MTurk surveys | |
| multi-country | |
| Multi-dimensional thresholding | |
| multi-story building | |
| Multidimensional mixed data models | |
| Multinomial Logit | |
| Multinomial logit model | |
| Multinomial probit model | |
| Multiple choice | |
| Multiple discrete continuous | |
| Multiple Discrete-Continous Model | |
| Multiple discrete-continuous extreme value (MDCEV) model | |
| Multiple discrete-continuous extreme value models (MDCEV) | |
| Multiple Indicator Solution | |
| Multiplicative discrete choice model | |
| multivariate count model | |
| multivariate counts | |
| N | |
| National Energy Model | |
| Natural Language Processing | |
| Network Capital | |
| Neural Networks | |
| Neuroscience | |
| New models | |
| New transport environment | |
| non-expected utility | |
| Non-linear | |
| non-market valuation | |
| Non-parametric distributions | |
| Non-parametric random effects models | |
| Non-probability samples | |
| non-trading behaviour | |
| Nonparametric | |
| Novel application | |
| O | |
| Occupational shifts | |
| Online gambling choices | |
| Online grocery shopping | |
| Online privacy | |
| Online Shopping | |
| open ended | |
| opt-out reminder | |
| Order Effect | |
| ordered choice | |
| Ordered probit model | |
| Ordinal choice | |
| Ordinal data | |
| ordinal logit | |
| outdoor advertising | |
| outliers | |
| P | |
| paired GNL(PGNL) | |
| pandemic | |
| Panel data | |
| Paratransit | |
| Participatory value evaluation | |
| patient preference heterogeneity | |
| patient preferences | |
| payment card | |
| payment consequentiality | |
| Pedestrian wait time | |
| perceived safety | |
| Perceptions towards new modes | |
| performing arts | |
| Perturbed utility | |
| Physician preferences | |
| Plug-in Electric Vehicles | |
| Policy analysis | |
| Policy implications | |
| pooled SP-RP data | |
| port choice | |
| portfolio choice | |
| positional concerns | |
| positionality | |
| posterior analysis | |
| Prediction | |
| preference heterogeneity | |
| privacy | |
| Pro-environmental behaviour | |
| Probabilistic decision trees | |
| Probability samples | |
| probit | |
| Probit model | |
| probit modelling | |
| product value | |
| Prospect theory | |
| protection | |
| Psychology | |
| Public microtransit | |
| Public transport | |
| public transportation | |
| Q | |
| q-statistics | |
| Qualtrics panel | |
| quantity-within-distance | |
| Quantum choice model | |
| Quantum rotations | |
| R | |
| random coefficients | |
| Random heterogeneity | |
| Random Parameter Zero Inflated Ordered Probit Model | |
| Random Parameters | |
| Random Regret Minimisation (RRM) | |
| Random Regret Minimization | |
| Random taste heterogeneity | |
| Random Utility Maximisation (RUM) | |
| Random Utility Maximization | |
| Ranked model | |
| Real choice experiment | |
| real DCE | |
| real experience | |
| real-time | |
| Rebound effect | |
| reciprocity | |
| Recreational behavior | |
| reference-dependence | |
| reference-dependence bias | |
| reflective measures | |
| Register data | |
| regret minimization | |
| reliability | |
| Remigration | |
| Research agenda | |
| Residential demand side response | |
| Residential energy choices | |
| Residential location | |
| Residential location choice | |
| Residential self-selection | |
| response lag | |
| restoration | |
| result-based payments | |
| Revealed preference | |
| Revealed preference data | |
| Review | |
| risk | |
| risk perception | |
| risk preferences | |
| Road Networks | |
| Road safety | |
| robustness | |
| route choice | |
| Route choice modelling | |
| S | |
| Safety | |
| Sample size calculation | |
| sampling of alternatives | |
| sanitisation | |
| satisficing | |
| scanner data | |
| scenario credibility | |
| Scheduling choice | |
| scheduling model | |
| Scheffé models | |
| Screening | |
| screening heuristics | |
| Segregation | |
| self-interest | |
| Self-report | |
| selfishness | |
| Semi-compensatory behaviour | |
| Semi-compensatory model | |
| Sentiment analysis | |
| Shared Electric Scooter | |
| shield | |
| Shopping Behavior | |
| Shopping Destination Choice Model | |
| Simplified responses | |
| Simulation | |
| Smart card data | |
| Smart energy choices | |
| Smartphone survey | |
| social acceptability | |
| Social capital | |
| social desirability | |
| social distancing | |
| Social housing | |
| Social Interactions | |
| Social media | |
| Social Networks | |
| Social norms | |
| Social Resources | |
| socio-demographic enrichment | |
| Sparse covariance matrix | |
| Spatial | |
| spatial choice models | |
| Spatial Dependency | |
| Spatial Models | |
| Spatial sorting | |
| Spillover | |
| SRI | |
| starting point bias | |
| Stated choice | |
| Stated choice design | |
| Stated choice experiment | |
| stated choice experiments | |
| stated choice methods | |
| stated preference | |
| Stated Preference (SP) | |
| stated preference choice data | |
| Stated preference experiments | |
| stated preference methods | |
| Stated preference survey | |
| stated preferences | |
| statistical efficiency | |
| Status quo effects | |
| stochastic variables | |
| strategic responding | |
| substitution | |
| substitution pattern | |
| sugar tax | |
| supermarket scanner data | |
| survey consequentiality | |
| survey engagement | |
| Sustainable investments | |
| swing weighting | |
| Switzerland | |
| T | |
| Technology adoption | |
| Telecommuting | |
| Temporal | |
| Text data | |
| the Great East Japan Earthquake in 2011 | |
| Third workplace | |
| three-generation households | |
| time series | |
| time use | |
| Time use decisions | |
| time-geography | |
| Tracking data | |
| Tracking of choice behavior | |
| Transaction model | |
| transboundary pollution | |
| transparent neural networks | |
| transport mode-use | |
| Transportation | |
| Travel behavior | |
| travel demand | |
| Travel mode choice | |
| Travel time reliability | |
| Twitter data | |
| two-dimensional movement | |
| Two-Sided Market | |
| Two-stage choice model | |
| two-wheelers | |
| U | |
| unaccounted autocorrelation | |
| unbalanced panel data | |
| Unimodal distribution | |
| Unobserved heterogeneity | |
| urban ecosystem services | |
| urban imagery | |
| utility functions | |
| V | |
| vaccine hesitance | |
| vaccines | |
| validity | |
| Value of a statistical injury | |
| Value of a statistical life | |
| Value of Leisure Time | |
| Value of privacy | |
| value of travel time | |
| value-based care | |
| valuing culture | |
| variational autoencoder | |
| Vehicle choice and utilization | |
| Vehicle Choice Modeling | |
| Vehicle ownership | |
| Vehicle to infrastructure | |
| Vehicle to vehicle | |
| Vehicle type choice | |
| vehicle-kilometre | |
| video experience | |
| Virtual Reality | |
| W | |
| waiting times | |
| Weibull | |
| weighting | |
| welfare analysis | |
| welfare economics | |
| Welfare effects | |
| willingness to accept | |
| Willingness to pay | |
| Willingness-to-pay | |
| Willingness-to-pay indicators | |
| Woodlands | |
| Work-from-home | |
| Working from home | |