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Volume 38, Issue 4 (2023)
GeoRes 2023, 38(4): 435-443 |
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Received: 2023/06/11 | Accepted: 2023/10/8 | Published: 2023/10/18
Received: 2023/06/11 | Accepted: 2023/10/8 | Published: 2023/10/18
How to cite this article
Shahidi Rizi M, Irvani H, Jabal Ameli A, Piravi Vanak M. Space Syntax and Hermeneutics of Scale in Shahid Beheshti Street of Karaj. GeoRes 2023; 38 (4) :435-443
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1- Department of Architecture and Urban Planning, Esfahan Branch, Islamic Azad University, Esfahan, Iran
2- Department of Architecture, Faculty of Architecture, Ardestan Branch, Islamic Azad University, Ardestan, Iran
3- Department of Artstudies, Isfahan University of Arts, Isfahan, Iran
2- Department of Architecture, Faculty of Architecture, Ardestan Branch, Islamic Azad University, Ardestan, Iran
3- Department of Artstudies, Isfahan University of Arts, Isfahan, Iran
Abstract (1054 Views)
Aims: The concept of scale and spatial structure are key concepts in the analysis, planning and design of urban spaces. Among urban spaces, streets play a very important role in the structure of cities due to their wideness and dispersion. Considering the importance of these cases, the purpose of this research is to analyze the relationship between scale and spatial structure in urban streets.
Methodology: This is a mixed applied study carried out in Shahid Beheshti street, karaj in 2022. The development of the theoretical model of the scale in the urban space has been done using the correlation method of confirmatory factor analysis. Also, the spatial syntax variables of the study area were extracted based on the axis map in DepthMap software and its relationship was analyzed through the Pearson correlation test with the scale model data of Shahid Beheshti Street.
Findings: The findings indicate the effect of the factors "dimensions and proportions", "enclosure", "components and activity" on the scale in Shahid Beheshti Street, Karaj. In such a way that the change in each of these variables can change the scale in the objective and perceptual dimension. Also, the scale has a significant relationship with the spatial structure of Shahid Beheshti Street in Karaj in both objective and perceptual dimensions. This relationship is direct with the "connection" variable and inverse with the "depth" variable
Conclusion: By analyzing the space syntax of urban streets, it is possible to predict the scale error in the urban structure and improve this error in both perceptual and objective dimensions with spatial changes.
Methodology: This is a mixed applied study carried out in Shahid Beheshti street, karaj in 2022. The development of the theoretical model of the scale in the urban space has been done using the correlation method of confirmatory factor analysis. Also, the spatial syntax variables of the study area were extracted based on the axis map in DepthMap software and its relationship was analyzed through the Pearson correlation test with the scale model data of Shahid Beheshti Street.
Findings: The findings indicate the effect of the factors "dimensions and proportions", "enclosure", "components and activity" on the scale in Shahid Beheshti Street, Karaj. In such a way that the change in each of these variables can change the scale in the objective and perceptual dimension. Also, the scale has a significant relationship with the spatial structure of Shahid Beheshti Street in Karaj in both objective and perceptual dimensions. This relationship is direct with the "connection" variable and inverse with the "depth" variable
Conclusion: By analyzing the space syntax of urban streets, it is possible to predict the scale error in the urban structure and improve this error in both perceptual and objective dimensions with spatial changes.
Keywords:
References
1. Ahmadnejad F, Adeebkia V, Hassanzadeh M, Rouhani H (2021). Investigation of the human scale in the city's events under study: Urmia city. Urban Design Studies and Urban Research. 4(3):13-26. [Persian] [Link]
2. Alipour Esfahani M, Zamani B, Shahivandi A (2018). Compiling components affecting the quality of social vitality in streets (case study: Historic street of Sepah, Isfahan). Maremat & Me'mari-e Iran. 8(15):119-136. [Persian] [Link]
3. Alizadeh K, Anbari H (2017). The role of urban spaces defenseless in occurrence of crime with an emphasis on Parks District 9 Mashhad. Research and Urban Planning. 8(29):141-160. [Persian] [Link]
4. Bahrini F, Bell S, Mokhtarzadeh S (2017). The relationship between the distribution and use patterns of parks and their spatial accessibility at the city level: A case study from Tehran, Iran. Urban Forestry & Urban Greening. 27:332-342. [Link] [DOI:10.1016/j.ufug.2017.05.018]
5. Bonyadi N, Fathi M, Jahdi N (2023). Evaluation of urban plans based on security improvement in deteriorated area using space syntax (case study: Qalamestan Karaj). Research and Urban Planning. 14(53):151-168. [Persian] [Link]
6. Dharmasthala S, Sun Q, Langenheim N (2021). Are high distributed streetscapes also located in the high social interaction streets? A space syntax approach on street liveability assessment. Proceedings of the 2021 28th International Conference on Geoinformatics. Nanchang, China: IEEE. p. 1-7. [Link] [DOI:10.1109/IEEECONF54055.2021.9687512]
7. Esposito D, Santoro S, Camarda D (2020). Agent-based analysis of urban spaces using space syntax and spatial cognition approaches: A case study in Bari, Italy. Sustainability. 12(11):4625. [Link] [DOI:10.3390/su12114625]
8. Ewing R, Handy S (2009). Measuring the unmeasurable: Urban design qualities related to walkability. Journal of Urban Design. 14(1):65-84. [Link] [DOI:10.1080/13574800802451155]
9. Fathi M, Sajjadzadeh H, Moini SM (2023). Effect of physical and spatial factors of high-rise official buildings in Karaj City, Iran, on employee productivity. Geografical Researches. 38(1):55-64. [Persian] [Link]
10. Hekmatnia H, Nasiri Hendeh Khaleh E, Esmaeili F, Nezafat Takleh B, Fattahi D, Mogadam D (2022). Investigating and evaluating the resilience of Karaj communication network (case study: Shahid Beheshti and Azadi Streets). Journal of Geography and Environmental Hazards. 10(4):151-173. [Persian] [Link]
11. Jabbari M, Fonseca F, Ramos R (2018). Combining multi-criteria and space syntax analysis to assess a pedestrian network: The case of Oporto. Journal of Urban Design. 23(1):23-41. [Link] [DOI:10.1080/13574809.2017.1343087]
12. Lamíquiz PJ, López-Domínguez J (2015). Effects of built environment on walking at the neighbourhood scale. A new role for street networks by modelling their configurational accessibility?. Transportation Research Part A: Policy and Practice. 74:148-163. [Link] [DOI:10.1016/j.tra.2015.02.003]
13. Lindal PJ, Hartig T (2013). Architectural variation, building height, and the restorative quality of urban residential streetscapes. Journal of Environmental Psychology. 33:26-36. [Link] [DOI:10.1016/j.jenvp.2012.09.003]
14. Neufert E (2019). Architects' data. 5th ed. Hoboken: John Wiley & Sons. [Link]
15. Nikpour A, Yarahmadi M (2020). Recognizing the components of street vitality as promoting the quality of social life in small urban spaces case study: Chamran Street, Shiraz. Journal Sustainable City. 3(1):41-54. [Persian] [Link]
16. Safian MJ, Ansari M, Ghafari A, Masood M (2012). Hermeneutical phenomenology survey of relation between place and architecture. Journal of Philosophical Investigations. 5(8):93-129. [Persian] [Link]
17. Shahabi Nejad A, Aboie R, Ghalenoei M, Mozafar F (2015). Human scale in Naghshe-Jahan square. Maremat & Me'mari-e Iran. 4(8):1-18. [Persian] [Link]
18. Shen Q, Zeng W, Ye Y, Arisona SM, Schubiger S, Burkhard R, et al (2018). StreetVizor: Visual exploration of human-scale urban forms based on street views. IEEE Transactions on Visualization and Computer Graphics. 24(1):1004-1013. [Link] [DOI:10.1109/TVCG.2017.2744159]
19. Tibbalds F, editor (2012). Making people-friendly towns: Improving the public environment in towns and cities. London: Taylor & Francis. [Link] [DOI:10.4324/9780203469521]
20. Van Der Hoeven F, Van Nes A (2014). Improving the design of urban underground space in metro stations using the space syntax methodology. Tunnelling and Underground Space Technology. 40:64-74. [Link] [DOI:10.1016/j.tust.2013.09.007]
21. Von Schonfeld KC, Bertolini L (2017). Urban streets: Epitomes of planning challenges and opportunities at the interface of public space and mobility. Cities. 68:48-55. [Link] [DOI:10.1016/j.cities.2017.04.012]
22. Wang L, Han X, He J, Jung T (2022). Measuring residents' perceptions of city streets to inform better street planning through deep learning and space syntax. ISPRS Journal of Photogrammetry and Remote Sensing. 190:215-230. [Link] [DOI:10.1016/j.isprsjprs.2022.06.011]
23. Wang R, Lu Y, Zhang J, Liu P, Yao Y, Liu Y (2019). The relationship between visual enclosure for neighbourhood street walkability and elders' mental health in China: Using street view images. Journal of Transport & Health. 13:90-102. [Link] [DOI:10.1016/j.jth.2019.02.009]
24. Watsonville (2012). General plan, chapter 4: Urban design and human scale. [Link]
25. Xing Z, Guo W (2022). A new urban space analysis method based on space syntax and geographic information system using multisource data. ISPRS International Journal of Geo-Information. 11(5):297. [Link] [DOI:10.3390/ijgi11050297]
26. Ye Y, Richards D, Lu Y, Song X, Zhuang Y, Zeng W, et al (2019). Measuring daily accessed street greenery: A human-scale approach for informing better urban planning practices. Landscape and Urban Planning. 191:103434. [Link] [DOI:10.1016/j.landurbplan.2018.08.028]