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Journals / Türkiye Coğrafi Bilgi Sistemleri Dergisi / 2024 / Cilt: 6 Sayı: 2

GIS-based analysis of relationship between building density and capacity of urban streets

Khalil Valizadeh Kamran(University of Tabriz)0000-0003-4648-842X
Pages
67–73
Publication Date
2024-12-20
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Because the density increase is possible when v/c<1 at peak hours while this amount is higher than1 at (11-12) and (18- 19), Thus in order to improve the situation options like the travel building of the usages, the effect of BRT and street parking spaces were addressed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Governments adopted the policy of increasing accumulation in cities in order to maximum use of desired lands of city districts and to prevent from city buildings in the environment created subsequent to the horizontal city developments.
📊
Key Findings & Data:One of the basic foundations that must be evaluated while the population accumulation of capability increase, is the traction ability of accountability communication network in both public and private transport system to new travels created by any new user introduction.
💡
Conclusion & Impact:Because the density increase is possible when v/c<1 at peak hours while this amount is higher than1 at (11-12) and (18- 19), Thus in order to improve the situation options like the travel building of the usages, the effect of BRT and street parking spaces were addressed.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:GIS · Building Density · Urban Streets

Abstract

Governments adopted the policy of increasing accumulation in cities in order to maximum use of desired lands of city districts and to prevent from city buildings in the environment created subsequent to the horizontal city developments. One of the basic foundations that must be evaluated while the population accumulation of capability increase, is the traction ability of accountability communication network in both public and private transport system to new travels created by any new user introduction. In this paper, we discussed about the relation between accumulation and traffic capacity of city streets with regard to a case study of Imam Khomeini Street in Tabriz city, Iran. This relation has been modeled with Logistic and AHP models. After investigating the service level of the street for 14 consecutive hours it is evident that the traffic is saturated at the peak hours and based on this study the suggestion for density increase is eliminated. Because the density increase is possible when v/c<1 at peak hours while this amount is higher than1 at (11-12) and (18- 19), Thus in order to improve the situation options like the travel building of the usages, the effect of BRT and street parking spaces were addressed.

Özet

Governments adopted the policy of increasing accumulation in cities in order to maximum use of desired lands of city districts and to prevent from city buildings in the environment created subsequent to the horizontal city developments. One of the basic foundations that must be evaluated while the population accumulation of capability increase, is the traction ability of accountability communication network in both public and private transport system to new travels created by any new user introduction. In this paper, we discussed about the relation between accumulation and traffic capacity of city streets with regard to a case study of Imam Khomeini Street in Tabriz city, Iran. This relation has been modeled with Logistic and AHP models. After investigating the service level of the street for 14 consecutive hours it is evident that the traffic is saturated at the peak hours and based on this study the suggestion for density increase is eliminated. Because the density increase is possible when v/c<1 at peak hours while this amount is higher than1 at (11-12) and (18- 19), Thus in order to improve the situation options like the travel building of the usages, the effect of BRT and street parking spaces were addressed.

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Cite This Article

Kamran, K. V. (2024). GIS-based analysis of relationship between building density and capacity of urban streets. Türkiye Coğrafi Bilgi Sistemleri Dergisi, Cilt: 6 Sayı: 2, 67–73. https://doi.org/10.56130/tucbis.1535766

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References (12)

  1. Bhuyan, P., & Nayak, M. S. (2013). A review on level of service analysis of urban streets. Transport Reviews, 33, 219-238. https://doi.org/10.1080/01441647.2013.779617
  2. Dahal, K. R., & Chow, T. E. (2014). A GIS toolset for automated partitioning of urban lands. Environmental Modelling & Software, 55, 222-234. https://doi.org/10.1016/j.envsoft.2014.01.024
  3. Jiang, B., & Yao, X. (2006). Location-based services and GIS in perspective. Computers, Environment and Urban Systems, 30, 712-725. https://doi.org/10.1016/j.compenvurbsys.2006.02.003
  4. Kim, J. J., Kim, D. Y. (2009). Effects of a building’s density on flow in urban areas. Advances in Atmospheric Sciences, 26, 45-56. https://doi.org/10.1007/s00376-009-0045-9.
  5. Klosterman, R. E., Brail, R. K., & Bossard, E. G. (1993). Spreadsheet models for urban and regional analysis. Center for Urban Policy Research.
  6. Landis, J., Zhang, M., & Fotheringham, A. (1999). Using GIS to improve urban activity and forecasting models: three examples. Spatial models and GIS: New potential and new models, 63-81.
  7. Lantada, N., Pujades, L. G., & Barbat, A. H. (2009). Vulnerability index and capacity spectrum-based methods for urban seismic risk evaluation. A comparison. Natural hazards, 51, 501-524. https://doi.org/10.1007/s11069-007-9212-4
  8. Li, D. F. (20079. Compromise ratio method for fuzzy multi-attribute group decision making. Applied Soft Computing, 7(3), 807-817. https://doi.org/10.1016/j.asoc.2006.02.003
  9. Munoz, F. (2003). Lock living: urban sprawl in Mediterranean cities. Cities, 20, 381-385. https://doi.org/10.1016/j.cities.2003.08.003
  10. Neckerman, K. M., Purciel-Hill, M., Quinn, J. W., Rundle, A. (2013). Urban design qualities for New York City. In: measuring urban design. Metropolitan planning + design. Island Press.
  11. Pan, G., Qi, G., Wu, Z., Zhang, D., & Li, S. (2013). Land-use classification using taxi GPS traces. Intelligent Transportation Systems, IEEE Transactions, 14(1), 113-123. https://doi.org/10.1109/TITS.2012.2209201
  12. Papinski, D., & Scott, D. M. (2011). A GIS-based toolkit for route choice analysis. Journal of Transport Geography, 19, 434-442. https://doi.org/10.1016/j.jtrangeo.2010.09.009