EN
A method proposal to detect user movement patterns in urban space: The case of Edirne-Kaleiçi*
Abstract
This study aims to define the factors that affect users’ movement preferences and propose a meth-od to identify the movement patterns in urban space. The proposed method was tested on Ed-irne-Kaleiçi, which was chosen as the study area. Edirne proves to be an appropriate case given that the spatial construct of the city bears the characteristics and the political-ideological, social, and economic impacts from different periods throughout history. Thus, the effects of socio-eco-nomic factors can be observed when movement preferences are identified. In this context, avail-able literature and different perspectives on “movement” were examined, and the components that affect movement were revealed. As a result of the model constructed with “Natural Move-ment” (based on Space Syntax Analysis Method), “Directed Movement” (based on Urban Net-work Analysis Method) and other additional components, movement patterns in the urban fabric were determined. Although the choice, integration, and intensity values are high for users accord-ing to the physical construct of streets in Kaleiçi, the movement remains in a very limited area due to the socio-economic structure and one type of intensive land-use type (retail). In addition, as a result of the correlations made with the observation data (pedestrian-vehicle counts, land market values), the consistency of the model was tested, and a positive/high-level relationship was deter-mined. This method approach will contribute to the literature because it will help integrate many different attributes under the concept of “movement” and make them questionable.
Keywords
Details
Primary Language
English
Subjects
Biochemistry and Cell Biology (Other)
Journal Section
Image Presentation
Publication Date
December 29, 2023
Submission Date
November 16, 2021
Acceptance Date
March 24, 2022
Published in Issue
Year 2023 Volume: 41 Number: 6
APA
Özkök, M. K., & Yenen, Z. (2023). A method proposal to detect user movement patterns in urban space: The case of Edirne-Kaleiçi*. Sigma Journal of Engineering and Natural Sciences, 41(6), 1157-1176. https://izlik.org/JA76DA94GM
AMA
1.Özkök MK, Yenen Z. A method proposal to detect user movement patterns in urban space: The case of Edirne-Kaleiçi*. SIGMA. 2023;41(6):1157-1176. https://izlik.org/JA76DA94GM
Chicago
Özkök, Mete Korhan, and Zekiye Yenen. 2023. “A Method Proposal to Detect User Movement Patterns in Urban Space: The Case of Edirne-Kaleiçi*”. Sigma Journal of Engineering and Natural Sciences 41 (6): 1157-76. https://izlik.org/JA76DA94GM.
EndNote
Özkök MK, Yenen Z (December 1, 2023) A method proposal to detect user movement patterns in urban space: The case of Edirne-Kaleiçi*. Sigma Journal of Engineering and Natural Sciences 41 6 1157–1176.
IEEE
[1]M. K. Özkök and Z. Yenen, “A method proposal to detect user movement patterns in urban space: The case of Edirne-Kaleiçi*”, SIGMA, vol. 41, no. 6, pp. 1157–1176, Dec. 2023, [Online]. Available: https://izlik.org/JA76DA94GM
ISNAD
Özkök, Mete Korhan - Yenen, Zekiye. “A Method Proposal to Detect User Movement Patterns in Urban Space: The Case of Edirne-Kaleiçi*”. Sigma Journal of Engineering and Natural Sciences 41/6 (December 1, 2023): 1157-1176. https://izlik.org/JA76DA94GM.
JAMA
1.Özkök MK, Yenen Z. A method proposal to detect user movement patterns in urban space: The case of Edirne-Kaleiçi*. SIGMA. 2023;41:1157–1176.
MLA
Özkök, Mete Korhan, and Zekiye Yenen. “A Method Proposal to Detect User Movement Patterns in Urban Space: The Case of Edirne-Kaleiçi*”. Sigma Journal of Engineering and Natural Sciences, vol. 41, no. 6, Dec. 2023, pp. 1157-76, https://izlik.org/JA76DA94GM.
Vancouver
1.Mete Korhan Özkök, Zekiye Yenen. A method proposal to detect user movement patterns in urban space: The case of Edirne-Kaleiçi*. SIGMA [Internet]. 2023 Dec. 1;41(6):1157-76. Available from: https://izlik.org/JA76DA94GM