Evaluation Method of Pedestrian Facility Based on Spatial Statistics

2018 Fiscal Year Final Research Report

• Project/Area Number: 15K18131
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Civil engineering project/Traffic engineering
• Research Institution: Tokyo Institute of Technology (2016-2018); The University of Tokyo (2015)
• Principal Investigator: Nakanishi Wataru 東京工業大学, 環境・社会理工学院, 助教 (70735456)
• Project Period (FY): 2015-04-01 – 2019-03-31
• Keywords: 歩行空間 / 交通流 / 空間相関 / 観測誤差

Outline of Final Research Achievements

We construct a pedestrian facility evaluation method based on spatial statistics and flow-density relationship of traffic theory. The following three results were obtained. (1) A pedestrian trajectory estimation and its accuracy evaluation method using spatio-temporally high resolution data from GPS observation by a smartphone was developed. (2) Using these data, the method of deriving and visualizing the fluctuation in the flow-density relationship in the facility was constructed by considering spatial correlation. (3) We applied this method to long-term observation data and confirmed the stability of the estimation results.

Free Research Field

交通工学

Academic Significance and Societal Importance of the Research Achievements

充実する歩行者挙動のモデルやデータを活用した歩行空間評価手法の構築は必ずしも進展しておらず，歩行空間設計はデザイン領域の問題として交通工学から分断されてきた．本研究成果は，両分野をつなぐ学術的意義を有する．具体的には，横断歩道や駅構内のような大きさの領域を対象に，交通工学の得意とする流量や密度のような統計量の，対象領域内部におけるばらつきを，統計的根拠に基づいて提供する．対象領域内で潜在的に歩行速度や交通量が低下しうる地点を推定可能であるため，安全で快適な歩行空間の実現に向けた社会的意義の大きい研究である．