年別の研究成果
年別の研究成果
検索結果
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2023
Activity detection with google maps location history data: Factors affecting joint activity detection probability and its potential application on real social networks
Parady, G., Suzuki, K., Oyama, Y. & Chikaraishi, M., 2023 1月, In: Travel Behaviour and Society. 30, p. 344-357 14 p.研究成果: Article › 査読
Open Access -
Capturing positive network attributes during the estimation of recursive logit models: A prism-based approach
Oyama, Y., 2023 2月, In: Transportation Research Part C: Emerging Technologies. 147, 104014.研究成果: Article › 査読
Open Access -
2022
Markovian traffic equilibrium assignment based on network generalized extreme value model
Oyama, Y., Hara, Y. & Akamatsu, T., 2022 1月, In: Transportation Research Part B: Methodological. 155, p. 135-159 25 p.研究成果: Article › 査読
Open Access2 被引用数 (Scopus) -
2020
Methodologies for understanding and improving pedestrian mobility
Bierlaire, M., Scarinci, R., Nikolić, M., Oyama, Y., Molyneaux, N. & Wang, Z., 2020 5月 18, Handbook of Urban Mobilities. Taylor and Francis, p. 97-106 10 p.研究成果: Chapter
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2019
Prism-based path set restriction for solving Markovian traffic assignment problem
Oyama, Y. & Hato, E., 2019 4月, In: Transportation Research Part B: Methodological. 122, p. 528-546 19 p.研究成果: Article › 査読
4 被引用数 (Scopus) -
2018
Link-based measurement model to estimate route choice parameters in urban pedestrian networks
Oyama, Y. & Hato, E., 2018 8月, In: Transportation Research Part C: Emerging Technologies. 93, p. 62-78 17 p.研究成果: Article › 査読
Open Access16 被引用数 (Scopus) -
Pedestrian activity model based on implicit path enumaration
Oyama, Y. & Hato, E., 2018, Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation. Wong, A. W. G., Wong, S. H. F. & Leung, G. L. M. (eds.). Hong Kong Society for Transportation Studies Limited, p. 331-338 8 p. (Proceedings of the 21st International Conference of Hong Kong Society for Transportation Studies, HKSTS 2016 - Smart Transportation).研究成果: Conference contribution
2 被引用数 (Scopus) -
2017
A discounted recursive logit model for dynamic gridlock network analysis
Oyama, Y. & Hato, E., 2017 12月, In: Transportation Research Part C: Emerging Technologies. 85, p. 509-527 19 p.研究成果: Article › 査読
Open Access21 被引用数 (Scopus) -
2013
Modeling transformation in neighborhood with urban redevelopment in built-up area of Tokyo incorporating effect of interaction
Kokubun, A., Hato, E. & Oyama, Y., 2013, p. 1-22. 22 p.研究成果: Paper › 査読