土地利用のアクセシビリティは持続可能な交通手段の選択にどのような影響を与えるのか？
実施中
ピニェイロ アベウ タイチ コンノ
This study investigates how land-use accessibility influences sustainable travel mode choice using GPS trajectory data. Each trip will be reconstructed from recorded location points and classified by transport mode, including walking, cycling, rail, car, and other vehicle-based travel. The study will integrate trajectory-derived indicators with land-use and built-environment variables, such as land-use mix, population and employment density, point-of-interest accessibility, distance to railway stations, road network connectivity, and access to essential services. A hybrid methodological framework will be developed by combining XGBoost-SHAP with a random parameters logit model. First, XGBoost-SHAP will identify the most important factors and reveal nonlinear relationships and interaction effects between land use, accessibility, and travel behavior. Then, a random parameters logit model will quantify the effects of key variables while accounting for unobserved heterogeneity across individuals, locations, and time periods. The results are expected to clarify which land-use and accessibility conditions encourage walking, cycling, and public transport use, and to provide policy implications for transit-oriented development, 15-minute city planning, and sustainable land use–transport integration.
変更のために新しい申請を保存します。 This will save a new application on the system for a modification.
申請中の研究者は表示されません。 / Pending researchers are not shown.
柳澤 大地 / 東京大学 大学院工学系研究科 航空宇宙工学専攻
申請中のデータセットは表示されません。 / Pending datasets are not shown.
【別途書類手続き。通常より審査期間が長くなります】実人流データ（東京都、2023年5月）
年次報告の内容はメンバーのみ表示されます。