@techreport{oai:ipsj.ixsq.nii.ac.jp:00234916,
 author = {峰, 和仁 and アッタウィール, アハマド and イ, ボ-ヨン and キム, ハンナ and ユン, チャンソク and 我妻, 広明 and Kazuhito, Mine and Ahmad, Altaweel and Bo-Young, Lee and Han-Na, Kim and Jang-Sok, Yoon and Hiroaki, Wagatsuma},
 issue = {29},
 month = {Jun},
 note = {本研究では，韓国国内物流における鉄道と道路輸送の分担率分析に Logit モデルを適用することを検討する．Logit モデルは，経済学の確率効用理論を応用した非集計モデルであり，従来中心的だった集計モデルよりも少ないサンプル数でモデル化が可能である．また，推定式内に説明変数の効果が含まれることから，将来予測や，その推定精度の評価の観点から，特定の効果を得るような施策の検討が可能になる．本研究では韓国内の物流に関して，オープンデータを活用し，予測手法について検討を行った．, In the present study, we investigated a possible method for forecasting of the future demand of the railway transportation in South Korea by applying a logit model, which estimates the share of railway and road transportations in domestic logistics in South Korea. The logit model is a disaggregated model that applies the theory of stochastic utility in economics and can be modeled with a smaller number of samples than the conventional aggregated model. In addition, since the effects of explanatory variables are included in the estimation formula, it becomes possible to consider measures to obtain specific effects from the perspective of future predictions and evaluation of the estimation accuracy. In this case study, open data was utilized to examine prediction methods in the sense of logistics in South Korea.},
 title = {韓国国内物流に注目した鉄道および道路輸送の分担率分析におけるLogitモデル活用の検討},
 year = {2024}
}