摘要: |
The objectives of this project are: (1) Explore advanced modeling techniques, including econometric models, such as random parameter logit models and interaction effects to identify sources of user heterogeneity, and machine learning methods, such as cluster analysis and principal component analysis, and identify modeling approach that best fits the study purpose; (2) Develop models to address various influential factors, such as user heterogeneity, demographic characteristics, mobility habits, personal preferences and attitudes, willingness to pay, and the interaction effects among them; and (3) Recommend approaches to incorporate considerations for ACES in the existing modeling framework. |