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Yusuke Hara

Tohoku University (per OpenAlex) · ORCID · OpenAlex

9 papers in scope · 8 published · 1 on the econ.EM arXiv · 156 citations · h-index 6 (over the papers listed here)

Papers

(1 of 9)

Discovering the common latent structure of commercial districts focusing on the spatial co-occurrence relationship between stores
published2024 · Environment and Planning B Urban Analytics and City Science · 1 citations
with Kazuya Inagaki
SPATIAL TRANSFERABILITY OF A MODE CHOICE MODEL CONSIDERING USER HETEROGENEITY AND DIFFERENCES IN SERVICE LEVELS
published2024 · Japanese Journal of JSCE
with Takuto Aizawa
Markovian traffic equilibrium assignment based on network generalized extreme value model
published2021 · Transportation Research Part B Methodological · 8 citations
with Yuki Oyama, Takashi Akamatsu
working paper2020 · arXiv · 3 citations
Traffic state estimation on a two-dimensional network by a state-space model
published2019 · Transportation Research Part C Emerging Technologies · 22 citations · first circulated 2018
with Yosuke Kawasaki, Masao Kuwahara
Behavioral mechanism design for transportation services: Laboratory experiments and preference elicitation cost
published2018 · Transportation Research Part B Methodological · 6 citations
Network-wide traffic state estimation using a mixture Gaussian graphical model and graphical lasso
published2017 · Transportation Research Part C Emerging Technologies · 36 citations
with Junpei Suzuki, Masao Kuwahara
Analysis of dynamic decision-making in a bicycle-sharing auction using a dynamic discrete choice model
published2017 · Transportation · 9 citations
with Eiji Hato
Traffic Monitoring immediately after a major natural disaster as revealed by probe data – A case in Ishinomaki after the Great East Japan Earthquake
published2015 · Transportation Research Part A Policy and Practice · 71 citations
with Masao Kuwahara

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.