In the era of emerging technologies, the transportation system is witnessing the introduction of innovative mobility services, such as autonomous vehicles, which possess unique service features that cannot be seen fro...In the era of emerging technologies, the transportation system is witnessing the introduction of innovative mobility services, such as autonomous vehicles, which possess unique service features that cannot be seen from conventional travel modes. To facilitate the understanding of the behavioral impacts and the adoption of innovative mobilities, a novel binary weibit model with an oddball alternative (BW-O) is developed for the binary choice between conventional and emerging mobilities. The BW-O model explicitly considers the unprecedented (or unique) service features of emerging travel modes while retaining the closed-form choice probability. This study empirically illustrates the application of the BW-O model in the mode choice context. The desirable properties of the BW-O model compared to the existing binary choice models are discussed both theoretically and empirically. In the binary mode choice problem with an emerging travel mode, the unique service features of the emerging mode can lead to the “oddball” effect and “superstar” effect, which play a critical role in the travel behavior and mode adoption. The BW-O model inherently captures both effects by considering a higher perception variance for the emerging mode and asymmetric choice probabilities between different modes. Thus, as revealed by the empirical results, the BW-O model outperforms the basic binary weibit model in terms of both model fit and predictive power. The developed BW-O model is not only applicable to the mode choice problem in transportation systems, but also opens a door for more general class-imbalanced binary choice contexts where an alternative has additional attractiveness and asymmetric choice probability.展开更多
This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities.The study's focus is an out-patient trip to a health care facility,and the source of ...This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities.The study's focus is an out-patient trip to a health care facility,and the source of data is the China Health and Retirement Longitudinal Study(CHARLS)for 2011.2013 and 2015.Based on a random utility framework,the study finds that making a rip to ureat an ilness or for a check-up increases the likelihood of an out-patient trip by 52 and 31 probability points,respectively.Out-patient visits for which in-surance is not relevant,When the individual pays most of the out:of-pocket costs and when the facility is a public facility are also important factors.Diagnosed and other per-sonal health factors have some but much more modest effects on one's trip choice.The analysis also identifies differential modal impacts of health indicators.A series of robustness tests generally confirm the results and identify areas for further research.Including a no-trip option,the biannual sunvey and infrequent out-patient trip-making mitigate endogeneity concerns.The analysis has broad health policy and transportation implications for an ageing population whose share is increasing.展开更多
基金National Natural Science Foundation of China(72071174)Research Grants Council of the Hong Kong Special Administrative Region(PolyU 15222221 and PolyU 15221922)+1 种基金Smart Cities Research Institute(CDA9)and the Research Institute of Land and Space(1-CD7N)at the Hong Kong Polytechnic Universitythe Chiang Mai University in Thailand.
文摘In the era of emerging technologies, the transportation system is witnessing the introduction of innovative mobility services, such as autonomous vehicles, which possess unique service features that cannot be seen from conventional travel modes. To facilitate the understanding of the behavioral impacts and the adoption of innovative mobilities, a novel binary weibit model with an oddball alternative (BW-O) is developed for the binary choice between conventional and emerging mobilities. The BW-O model explicitly considers the unprecedented (or unique) service features of emerging travel modes while retaining the closed-form choice probability. This study empirically illustrates the application of the BW-O model in the mode choice context. The desirable properties of the BW-O model compared to the existing binary choice models are discussed both theoretically and empirically. In the binary mode choice problem with an emerging travel mode, the unique service features of the emerging mode can lead to the “oddball” effect and “superstar” effect, which play a critical role in the travel behavior and mode adoption. The BW-O model inherently captures both effects by considering a higher perception variance for the emerging mode and asymmetric choice probabilities between different modes. Thus, as revealed by the empirical results, the BW-O model outperforms the basic binary weibit model in terms of both model fit and predictive power. The developed BW-O model is not only applicable to the mode choice problem in transportation systems, but also opens a door for more general class-imbalanced binary choice contexts where an alternative has additional attractiveness and asymmetric choice probability.
文摘This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities.The study's focus is an out-patient trip to a health care facility,and the source of data is the China Health and Retirement Longitudinal Study(CHARLS)for 2011.2013 and 2015.Based on a random utility framework,the study finds that making a rip to ureat an ilness or for a check-up increases the likelihood of an out-patient trip by 52 and 31 probability points,respectively.Out-patient visits for which in-surance is not relevant,When the individual pays most of the out:of-pocket costs and when the facility is a public facility are also important factors.Diagnosed and other per-sonal health factors have some but much more modest effects on one's trip choice.The analysis also identifies differential modal impacts of health indicators.A series of robustness tests generally confirm the results and identify areas for further research.Including a no-trip option,the biannual sunvey and infrequent out-patient trip-making mitigate endogeneity concerns.The analysis has broad health policy and transportation implications for an ageing population whose share is increasing.
