Pedestrian tracking in outdoor spaces of a suburban university campus for the investigation of occupancy patterns

Name: Pedestrian tracking in outdoor spaces of a suburban university campus for the investigation of occupancy patterns
Author: Göçer, Özgür, Göçer, K., Özcan, Barış, Bakovic, M., Kıraç, Mustafa Furkan

İsim	Pedestrian tracking in outdoor spaces of a suburban university campus for the investigation of occupancy patterns
Yazar	Göçer, Özgür, Göçer, K., Özcan, Barış, Bakovic, M., Kıraç, Mustafa Furkan
Basım Tarihi:	2019-02
Basım Yeri	- Elsevier
Konu	Pedestrian tracking, Spatio-temporal mapping, Outdoor spaces, Occupancy pattern, Sustainable campus, Logistic geographically weighted regression
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2210-6707
Kayıt Numarası	7176dd41-3e20-43a9-ab89-59aea1ab4cbe
Lokasyon	Computer Science, Architecture
Tarih	2019-02
Notlar	TÜBİTAK
Örnek Metin	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

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

Pedestrian tracking in outdoor spaces of a suburban university campus for the investigation of occupancy patterns

Yazar Göçer, Özgür, Göçer, K., Özcan, Barış, Bakovic, M., Kıraç, Mustafa Furkan

Basım Tarihi 2019-02

Basım Yeri - Elsevier

Konu Pedestrian tracking, Spatio-temporal mapping, Outdoor spaces, Occupancy pattern, Sustainable campus, Logistic geographically weighted regression

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2210-6707

Kayıt Numarası 7176dd41-3e20-43a9-ab89-59aea1ab4cbe

Lokasyon Computer Science, Architecture

Tarih 2019-02

Notlar TÜBİTAK

Örnek Metin 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