This article explores the critical role of spatial analysis in optimizing urban transportation networks, highlighting its significance in addressing the challenges posed by rapid urbanization. The text begins by emphasizing the necessity of efficient transportation systems, introducing spatial analysis as an essential solution. The theoretical framework intertwines urban planning, geography, and computational sciences, laying the groundwork for understanding spatial analysis’s multifaceted nature. Two contrasting case studies, Singapore's success in transportation optimization through spatial analysis and Los Angeles's ongoing struggle with traffic congestion, provide real-world context and insights. The article further delves into the tools and applications of spatial analysis, demonstrating its breadth from traffic management to policy-making, and addresses challenges and future prospects with a focus on data integrity and system integration. The concluding discussion synthesizes these insights, advocating for the adoption of spatial analysis in urban planning to foster efficient, sustainable, and equitable transportation networks.

Rubei Zhang. Spatial Analysis of Transportation Networks for Urban Planning. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 8: 1-5. https://doi.org/10.25236/IJNDES.2023.070801.

[1] Kashef, M., et al. Architects and planners approaches to urban form and design in the Toronto region: A comparative analysis[J]. Geoforum, 2008, 39(1):414-437.

[2] Zhong, C., et al. Detecting the dynamics of urban structure through spatial network analysis[J]. International Journal of Geographical Information Science, 2014, 28(11):2178-2199.

[3] Liu, S., Zhu, X., et al. Accessibility analyst: an integrated GIS tool for accessibility analysis in urban transportation planning[J]. Environment and Planning B: Planning and Design, 2004, 31(1):105-124.

[4] Murray, A. T., et al. Advances in location modeling: GIS linkages and contributions[J]. Journal of geographical systems, 2010, 12(1):335-354.

[5] Knaap, E., et al. The cartography of opportunity: Spatial data science for equitable urban policy[J]. Housing Policy Debate, 2017, 27(6):913-940.

[6] Saelens, B. E., et al. Environmental correlates of walking and cycling: findings from the transportation, urban design, and planning literatures[J]. Annals of behavioral medicine, 2003, 25(2): 80-91.

[7] Sharifi, A., et al. Progress and prospects in planning: A bibliometric review of literature in Urban Studies and Regional and Urban Planning, 1956–2022[J]. Progress in Planning, 2023, 1:100740.

[8] Thévenin, T., Mimeur, C., et al. Mapping Half a Century of Accessibility via the French Railway Network, 1860–1910[B]. Creative Ways to apply Historical GIS: Promoting Research and Teaching about Europe, 2023:149-162.

[9] McGill, R., et al. Reviewing the Science of Town Planning[J]. Current Urban Studies, 2023, 11(1):24-42.

[10] Oh, S., vom Hofe, R., et al. Transit-induced Agglomeration and Employment Opportunity: A Spatial Econometric Analysis of Skill-and Industry-specific Job Clusters in Philadelphia, PA[J]. Journal of Regional Analysis & Policy, 2023, 53(1):82-104.