SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Comparison of Neural and Conventional Approaches to Mode Choice Analysis
7 references·15 citing·40 second hop
Comparison of Neural and Conventional Approaches to Mode Choice Analysis (2000)Comparison of Neural and Conventional App…Fuzzy sets (1996)Fuzzy setsDiscrete choice analysis: Theory and application to travel demand (1988)Discrete choice analysis: The…Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete Choice Analysis: The…Specification Tests for the Multinomial Logit Model (1984)Specification Tests for the M…Multinomial probit: The theory and its application to demand forecasting (1981)Multinomial probit: The theor…A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences (1978)A Conditional Probit Model fo…Fuzzy sets (1965)Fuzzy setsComparing hundreds of machine learning and discrete choice models for travel demand modeling: An empirical benchmark (2024)Comparing hundreds of machine…Changeability of transport behaviour in a large city from the perspective of working days and Sundays: The case of Łódź, Poland (2023)Changeability of transport be…A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability (2022)A neural-embedded discrete ch…Enhancing discrete choice models with representation learning (2020)Enhancing discrete choice mod…Travel-To-School Mode Choice Modelling Employing Artificial Intelligence Techniques: A Comparative Study (2019)Travel-To-School Mode Choice …A review of Machine Learning (ML) algorithms used for modeling travel mode choice (2019)A review of Machine Learning …Spatial Transferability of Neural Network Models in Travel Demand Modeling (2018)Spatial Transferability of Ne…Development of neuro‐fuzzy‐based multimodal mode choice model for commuter in Delhi (2018)Development of neuro‐fuzzy‐ba…Capturing travel entities to facilitate travel behaviour analysis : A case study on generating travel diaries from trajectories fused with accelerometer readings (2016)Capturing travel entities to …Decision tree method for modeling travel mode switching in a dynamic behavioral process (2015)Decision tree method for mode…Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting (2014)Hybrid approaches based on SA…MODELLING USER MODE CHOICES BY AN ELLIPSOIDAL FUZZY APPROACH (2013)MODELLING USER MODE CHOICES B…Travel Mode Choice Modeling Based on Improved Probabilistic Neural Network (2010)Travel Mode Choice Modeling B…The modeling of mode choices of intercity freight transportation with the artificial neural networks and adaptive neuro-fuzzy inference system (2008)The modeling of mode choices …Predicting Mode Choice through Multivariate Recursive Partitioning (2004)Predicting Mode Choice throug…Conditional logit analysis of qualitative choice behavior (1972)The measurement of urban travel demand (1974)The structure of random utility models (1977)Econometric Models for Probabilistic Choice Among Products (1980)Discrete/Continuous Models of Consumer Demand (1984)Are Choice Experiments Incentive Compatible? A Test with Quality Differentiated Beef Steaks (2004)Estimating the Social Benefit of Constructing an Underground Railway in London (1963)TRAVEL TIME AND THE PRICE OF LEISURE (1966)Drivers of Customer Satisfaction for Software Products: Implications for Design and Service Support (1995)The paired combinatorial logit model: properties, estimation and application (2000)Discrete Choice Modeling (2009)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)GMDH-based hybrid model for container throughput forecasting: Selective combination forecasting in nonlinear subseries (2017)Forecasting Tourist Daily Arrivals With A Hybrid Sarima–Lstm Approach (2020)A Hybrid System Based on Dynamic Selection for Time Series Forecasting (2021)A technique for measurement of attitudes (1932)MODELING THE CHOICE OF RESIDENTIAL LOCATION (1978)Choice modelling in the age of machine learning - Discussion paper (2021)A deep generative model for feasible and diverse population synthesis (2023)Prospect Theory: An Analysis of Decision under Risk (1979)Mixed MNL models for discrete response (2000)The Mixed Logit model: The state of practice (2003)Large Language Models Predict Transportation Mode Choice Behavior for a Variety of Alternative Sets (2025)Mixed logit applications in travel behaviour research (2025)How the built environment affects physical activity (2002)UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning (2002)Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009)Agglomeration benefits and location choice: Evidence from Japanese manufacturing investments in the United States (1995)Measuring Market Power in the Ready-to-Eat Cereal Industry (1998)Economic Choices (2001)Experience-weighted Attraction Learning in Normal Form Games (1999)Statistical Methods for the Analysis of Discrete Choice Experiments: A Report of the ISPOR Conjoint Analysis Good Research Practices Task Force (2016)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field (2010)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
this work references cited by second hop

References

  • 1965Fuzzy sets67,827 cited
  • 1996Fuzzy sets46,880 cited
  • 1987Discrete Choice Analysis: Theory and Application to Travel Demand.5,542 cited
  • 1988Discrete choice analysis: Theory and application to travel demand3,257 cited
  • 1984Specification Tests for the Multinomial Logit Model2,510 cited
  • 1978A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences913 cited
  • 1981Multinomial probit: The theory and its application to demand forecasting348 cited

Cited by

  • 2020Enhancing discrete choice models with representation learning152 cited
  • 2014Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting98 cited
  • 2022A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability77 cited
  • 2019A review of Machine Learning (ML) algorithms used for modeling travel mode choice62 cited
  • 2008The modeling of mode choices of intercity freight transportation with the artificial neural networks and adaptive neuro-fuzzy inference system61 cited
  • 2024Comparing hundreds of machine learning and discrete choice models for travel demand modeling: An empirical benchmark55 cited
  • 2015Decision tree method for modeling travel mode switching in a dynamic behavioral process

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

49 cited
  • 2019Travel-To-School Mode Choice Modelling Employing Artificial Intelligence Techniques: A Comparative Study40 cited
  • 2018Spatial Transferability of Neural Network Models in Travel Demand Modeling15 cited
  • 2010Travel Mode Choice Modeling Based on Improved Probabilistic Neural Network15 cited
  • 2018Development of neuro‐fuzzy‐based multimodal mode choice model for commuter in Delhi13 cited
  • 2004Predicting Mode Choice through Multivariate Recursive Partitioning13 cited
  • 2023Changeability of transport behaviour in a large city from the perspective of working days and Sundays: The case of Łódź, Poland7 cited
  • 2013MODELLING USER MODE CHOICES BY AN ELLIPSOIDAL FUZZY APPROACH6 cited
  • 2016Capturing travel entities to facilitate travel behaviour analysis : A case study on generating travel diaries from trajectories fused with accelerometer readings6 cited