Extrapolation-enhanced model for travel decision making: An ensemble machine learning approach considering behavioral theory

作者：

Highlights：

• An extrapolation-enhanced approach for modeling travel decision making.

• Leveraging the complementary merits of ensemble machine learning algorithms and knowledge-based decision-making theory.

• Empirical tests based on one estimation dataset and two test datasets.

• Superior predictive performances in terms of model extrapolation ability.

摘要

•An extrapolation-enhanced approach for modeling travel decision making.•Leveraging the complementary merits of ensemble machine learning algorithms and knowledge-based decision-making theory.•Empirical tests based on one estimation dataset and two test datasets.•Superior predictive performances in terms of model extrapolation ability.

论文关键词：Travel behavior,Machine learning,Intelligent transport system,Behavioral theory

论文评审过程：Received 24 October 2020, Revised 4 January 2021, Accepted 16 February 2021, Available online 18 February 2021, Version of Record 25 February 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.106882