2022 Fiscal Year Research-status Report
Development of an environmentally friendly ICT platform for transport management and analysis of user preferences
| Project/Area Number |
22K14339
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| Research Institution | Hiroshima University |
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Principal Investigator |
VARGHESE VARUN 広島大学, 先進理工系科学研究科(国), 助教 (40834718)
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| Project Period (FY) |
2022-04-01 – 2024-03-31
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| Keywords | Transportation Planning / Machine Learning / ICT / Emissions / Randomized Control Trial |
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| Outline of Annual Research Achievements |
Firstly, based on a two-week field experiment in Hiroshima, an empirical analysis established positive impact of monetary incentives on mode choice utility. Meanwhile, people with pro-environmental attitudes were observed to be less likely to choose cars and more likely to choose public transit and non-motorized transport modes. The findings were presented at the 102nd TRB annual meeting.
Second analysis in the project, tested the impact of data preprocessing and GPS data frequency on accuracy and interpretability using machine learning models. The results show that data preprocessing have a larger impact as compared to GPS data frequency.
Third analysis involves a comprehensive review of literature on travel mode recommender systems, which summarizes the different algorithms, data types, and impacts of such tools.
One manuscript is currently under review and two under preparation.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The project is progressing as per plan.
Background work to understand the impact of monetary incentive provision and personal preferences on mode choice was finished. The relative contribution of both of these important variables on predicted transport mode shares was also evaluated. In addition, the impact of data collection frequency and data preprocessing on model prediction accuracy and interpretability was also analyzed. A review of previous literature on existing tools was also conducted as per plan.
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| Strategy for Future Research Activity |
In the second year of the project, the coding work on the algorithm development will be done. This part would entail development of the ICT platform which recommends travel mode to people based on CO2 emission minimization. Upon completion of the ICT platform, the platform will be tested through a trial survey in Higashihiroshima, Japan. The findings of the project will be summarized in papers and will be presented in peer-reviewed conferences and published in journals.
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| Causes of Carryover |
Personnel expenditure and remuneration cost allocated for first fiscal year (2022-23) will be used in the second year for the development of ICT platform and the implementation of the trial survey.
Additionally, Miscellaneous cost allocated in the first fiscal year (2022-23) was supposed to be used for making papers open access. As our manuscripts are still under review and under preparation, this budget will be used for the same purpose in the second fiscal year (2023-24).
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Research Products
(1 results)
