Author
Göçer, Özgür, Göçer, K., Özcan, Barış, Bakovic, M., Kıraç, Mustafa Furkan
Publication Date
2019-02
Publication Place
-
Elsevier
Subject
Pedestrian tracking, Spatio-temporal mapping, Outdoor spaces, Occupancy pattern, Sustainable campus, Logistic geographically weighted regression
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
2210-6707
Record ID
7176dd41-3e20-43a9-ab89-59aea1ab4cbe
Library Location
Computer Science, Architecture
Date
2019-02
Notes
TÜBİTAK
Sample Text
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
