نویسنده
Göçer, Özgür, Göçer, K., Özcan, Barış, Bakovic, M., Kıraç, Mustafa Furkan
تاریخ انتشار
2019-02
محل انتشار
-
Elsevier
موضوع
Pedestrian tracking, Spatio-temporal mapping, Outdoor spaces, Occupancy pattern, Sustainable campus, Logistic geographically weighted regression
نوع
دوره ای
زبان
انگلیسی
دیجیتال
بله
نسخه خطی
خیر
کتابخانه
دانشگاه اوزیغین
شناسه دارایی کتابخانه
2210-6707
شماره ثبت
7176dd41-3e20-43a9-ab89-59aea1ab4cbe
محل کتابخانه
Computer Science, Architecture
تاریخ
2019-02
یادداشتها
TÜBİTAK
متن نمونه
The design of a livable and comfortable environment has been one of the main aims of sustainable university campus design. The creation of outdoor spaces for accommodating amenities has a positive effect on users with regard to various physiological and psychological aspects. Knowing how daily activity patterns and pedestrian movements are distributed across space is important for assessing whether or not human use and design plans are in fact successful. The aim of this study is to determine occupancy patterns and pedestrian routes in outdoor spaces during different seasons at a sustainable university campus by using spatial statistical analyses that involve ANN, MC and SDE. To perform these analyses, the researchers attempted to use a pedestrian tracking method from camera surveillance to aggregate the required data by conducing a longitudinal study. The data that were aggregated by pedestrian tracking was visualized with the use of a spatio-temporal mapping method in GIS. Logistic GWR was performed to seek the relationship between occupancy pattern (clustered distribution) and design layout of open spaces, comprising the variables of proximity to the attraction centers/entrances, and visual integration. The results confirmed that occupants prefer to use the areas that have high visual integration value and are close to attraction centers.
DOI
10.1016/j.scs.2018.11.006
Cilt
45
