Optimizing Urban Planning Through Spatial Network Analysis: a Case Study of Danang City
https://doi.org/10.24057/2071-9388-2025-3594
Abstract
Urban planning is a complex process that addresses present conditions while shaping future development. However, it often relies on subjective assessments by planners and managers. This study explores the spatial network of Da Nang City through Multiple Centrality Assessment (MCA) and Space Syntax Analysis to provide an objective basis for urban planning. Key indicators, including Connectivity (Space Syntax), are calculated to assess movement, accessibility, flow, and social interaction within the urban network. Additionally, Closeness, Betweenness, Straightness, and Angular Centrality (MCA) are measured, highlighting the significance of streets and intersections in shaping urban dynamics. The findings are evaluated against Da Nang’s urban planning framework to assess its effectiveness and propose solutions for optimizing the master plan. The study identifies strengths and areas for improvement in the city’s layout, resulting in a proposed urban structure organized around five functional cores to enhance connectivity, efficiency, and sustainable growth. This research offers data-driven insights to assist urban planners in refining Da Nang’s spatial framework, contributing to the city’s longterm resilience and sustainable development.
Keywords
Space Syntax,
Multiple Centrality Assessment,
urban configuration,
spatial network,
sustainable urban development
Supporting agencies: The authors would like to thank M.Arch Tran Duc Quang from Da Nang University of Technology - Da Nang University for providing valuable research materials. We also express our gratitude to Ho Chi Minh City University of Technology and Education for providing partial financial support.
About the Authors
Thinh Duy Do
Ho Chi Minh City University of Technology and Education
Viet Nam
Viet Nam
1 Vo Van Ngan Street, Ho Chi Minh City
Thoi Duy Do
Ho Chi Minh City University of Technology and Education
Viet Nam
Viet Nam
1 Vo Van Ngan Street, Ho Chi Minh City
References
1. Al_Sayed K., Turner A., Hillier B., Iida S. and Penn A. (2014). Space syntax methodology. 4th ed. London: Bartlett School of Architecture, University College London (UCL).
2. Batty M. (2004). A new theory of space syntax. London: Centre for Advanced Spatial Analysis, University College London. (CASA Working Paper No. 75).
3. Berhie G. K. and Haq S. (2017). Land use and transport mode choices: Space syntax analysis of American cities. Enquiry: The ARCC Journal for Architectural Research, [online] 14(1), 1–22. https://doi.org/10.17831/enq:arcc.v14i1.429
4. Boeing G. (2017). OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks. Computers, Environment and Urban Systems, [online] 65, 126–139. https://doi.org/10.1016/j.compenvurbsys.2017.05.004
5. Caniggia G. and Maffei G. L. (2001). Architectural composition and building typology: Interpreting basic building (Saggi e documenti, 176). Firenze: Alinea Editrice. ISBN 978-8881254262.
6. Crucitti P., Latora, V., and Porta, S. (2006). Centrality measures in spatial networks of urban streets. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 73(3 Pt 2), 036125. https://doi.org/10.1103/PhysRevE.73.036125
7. Danang People’s Committee. (2020). Điều chỉnh Quy hoạch chung thành phố Đà Nẵng đến năm 2030, tầm nhìn đến năm 2045. Đà Nẵng: Ủy ban nhân dân TP Đà Nẵng – Sakae Corporate Advisory & Surbana Jurong.
8. Da Nang Urban Planning Institute (UPIO). (2018). Master planning of Danang city (adjusted toward 2030 and vision to 2050). Đà Nẵng: Da Nang Urban Planning Institute.
9. Das J. and Ram S. (2024). Exploring the relationship of transport network and land use patterns: An approach through weighted centrality assessment. Urban, Planning and Transport Research, [online] 12(1), Article 2323946. https://doi.org/10.1080/21650020.2024.2323946
10. Fleischmann M. (2019). Momepy: Urban morphology measuring toolkit. Journal of Open Source Software, [online] 4(43), 1807. https://doi.org/10.21105/joss.01807
11. Freeman L. C. (2002). Centrality in social networks: Conceptual clarification. In: Social Network: Critical Concepts in Sociology, Vol. 1. London: Routledge, pp. 238–263
12. Gehl J. (2013). Cities for People. Washington, DC: Island Press.
13. He M., Xu H., Wang R., Chen J., Liu S. and Li T. (2021). Research on site selection of old campus bookstore based on the combination of space syntax and analytic hierarchy process: Take Huangjiahu Campus of Wuhan University of Science and Technology as an example. IOP Conference Series: Earth and Environmental Science, [online] 662, 012071. https://doi.org/10.1088/1755-1315/662/1/012071
14. Hillier B., Penn A., Hanson J., Grajewski T. and Xu J. (1993). Natural movement: Or, configuration and attraction in urban pedestrian movement. Environment and Planning B: Planning and Design, 20(1), 29–66. https://doi.org/10.1068/b200029
15. Hillier B. (2007). Space is the machine: A configurational theory of architecture. Cambridge: Cambridge University Press.
16. Jiang B. and Claramunt C. (2004). Topological analysis of urban street networks. Environment and Planning B: Planning and Design, 31(1), 151–162. https://doi.org/10.1068/b2901
17. Kang C.-D. (2015). The effects of spatial accessibility and centrality to land use on walking in Seoul, Korea. Cities, 46, 94–103. https://doi.org/10.1016/j.cities.2015.05.007
18. Li Q., Zhou S., and Wen P. (2019). The relationship between centrality and land use patterns: Empirical evidence from five Chinese metropolises. Computers, Environment and Urban Systems, 78, 101356. https://doi.org/10.1016/j.compenvurbsys.2019.101356
19. Liu Y., Wei X., Jiao L., and Wang H. (2016). Relationships between street centrality and land use intensity in Wuhan, China. Journal of Urban Planning and Development, 142(3), 05015001. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000296
20. Marshall S. (2004). Streets and Patterns. London: Routledge.
21. Marshall S., and Banister D. (2007). Land Use and Transport: European Research Towards Integrated Policies. Bingley: Emerald Group Publishing Limited.
22. Matějček J. and Přibyl O. (2020). Space syntax: A multi-disciplinary tool to understand city dynamics. In: 2020 Smart City Symposium Prague (SCSP), 1st ed. New York: IEEE, 1–6. https://doi.org/10.1109/SCSP49902.2020.9119343
23. Newman M. E. J. (2005). A measure of betweenness centrality based on random walks. Social Networks, 27(1), 39–54. https://doi.org/10.1016/j.socnet.2004.11.009
24. Porta S., Crucitti P., and Latora V. (2006a). The network analysis of urban streets: A dual approach. Physica A: Statistical Mechanics and its Applications, 369(2), 853–866. https://doi.org/10.1016/j.physa.2005.12.063
25. Porta S., Crucitti P., and Latora V. (2006b). The network analysis of urban streets: A primal approach. Environment and Planning B: Planning and Design, 33(5), 705–725. https://doi.org/10.1068/b32045
26. Porta S., Strano E., Iacoviello V., Messora R., Latora V., Cardillo A., Wang F., and Scellato S. (2009). Street centrality and densities of retail and services in Bologna, Italy. Environment and Planning B: Planning and Design, 36(3), 450–465. https://doi.org/10.1068/b3319
27. Prime Minister of Vietnam. (2019). Decision No. 147/QĐ-TTg: Approval of the task of adjusting the general planning of Da Nang City to 2030, with a vision to 2045. Hanoi: Government Office.
28. Rui Y., and Ban Y. (2014). Exploring the relationship between street centrality and land use in Stockholm. International Journal of Geographical Information Science, 28(7), 1425–1438. https://doi.org/10.1080/13658816.2014.900300
29. Seamon D. (2015). The life of the place: A phenomenological commentary on Bill Hillier’s theory of Space Syntax. Nordic Journal of Architectural Research, 27, 35–52.
30. Sevtsuk A., and Mekonnen M. (2012). Urban network analysis. Revue Internationale de Géomatique, N(287), 305. https://doi.org/10.3166/rig.287.305-322
31. Shi X., Liu D., and Gan J. (2024). A study on the relationship between road network centrality and the spatial distribution of commercial facilities—A case of Changchun, China. Sustainability, 16(5), 3920. https://doi.org/10.3390/su16053920
32. Song C., Liu Q., Song J., Yang D., Jiang Z., Ma W., Niu F., and Song J. (2023). The interactive relationship between street centrality and land use intensity—A case study of Jinan, China. International Journal of Environmental Research and Public Health, 20(9), 5127. https://doi.org/10.3390/ijerph20095127
33. Turner A. (2001). Depthmap: A program to perform visibility graph analysis. In: Proceedings of the 3rd International Symposium on Space Syntax, 1st ed. London: Space Syntax Laboratory, 12–31.
34. Turner A. (2007). From axial to road-centre lines: A new representation for space syntax and a new model of route choice for transport network analysis. Environment and Planning B: Planning and Design, 34(3), 539–555. https://doi.org/10.1068/b32045
35. Van Nes A. (2014). Space syntax in theory and practice. In: C. Steinitz, H. Arias and A. Rajabifard, eds., Geodesign by integrating design and geospatial sciences, 1st ed. Dordrecht: Springer, 237–257.
36. Van Nes A. and Yamu C. (2021). Analysing linear spatial relationships: The measures of connectivity, integration, and choice. In: A. Van Nes and C. Yamu, eds., Introduction to space syntax in urban studies, 1st ed. Cham: Springer, 35–86.
37. Wang S., Xu G. and Guo Q. (2018). Street centralities and land use intensities based on points of interest (POI) in Shenzhen, China. ISPRS International Journal of Geo-Information, 7(12), 425. https://doi.org/10.3390/ijgi7120425
38. Yin G., Liu T., Chen Y. and Hou Y. (2022). Disparity and spatial heterogeneity of the correlation between street centrality and land use intensity in Jinan, China. International Journal of Environmental Research and Public Health, 19(23), 15558. https://doi.org/10.3390/ijerph192315558
Review
For citations:
Duy Do T., Duy Do T. Optimizing Urban Planning Through Spatial Network Analysis: a Case Study of Danang City. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2025;18(2):70-81. https://doi.org/10.24057/2071-9388-2025-3594
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