Spatial Analysis Based Urban Road Network Partition Method for Macroscopic Evaluation


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In order to improve the reliability of urban road network operation evaluation, the road network regional Partition methods were launched in this paper. The geographic grid was introduced first, and a 4-level road network model was defined. Then, the spatial analysis based urban road network division method was proposed by analyzing the characteristics of road network operation. This method can reflect the influence between adjacent regional units, and improve the reliability of urban road network division. Finally, this research took a certain area in Beijing as a case study, and divided the road network as several regional units. Macroscopic evaluation result shows that it is effective for scientifically describing the road network operation status.



Edited by:

Shucai Li




W. J. Zou et al., "Spatial Analysis Based Urban Road Network Partition Method for Macroscopic Evaluation", Applied Mechanics and Materials, Vols. 97-98, pp. 512-517, 2011

Online since:

September 2011




[1] Yagoda N H et al. Subdivision of Signal Systems into Control Areas[J]. Traffic Engineering, 1973, 43(12): 42-45.

[2] James E M, Paul P J. Statistical Designation of Traffic Control Subareas[J]. Journal of Transportation Engineering, 1985, 111(3): 208-223.


[3] Zong Tian, Thomas Urbanik. A System Partition Approach to Improve Signal Timing[C]. TRB 2003 Annual Meeting, Washington D.C.: Transportation Research Board, (2003).

[4] Yu Quan. Study on key issues of dynamic coordination of urban traffic signal control system[D]. Beijing: Beijing University of Technology, 2005. ( In Chinese).

[5] Shang Deshen, Shi Jianjun. The Transportation Controlled Area Dynamic Division Research[J]. Road Traffic & Safety, 2007, 7(1): 27-29. ( In Chinese).

[6] Yang Bo, Liu Hai-zhou. Improvement of the Method about the Partition of Traffic Zone[J]. Traffic and Transportation, 2007, (z1): 5-7. ( In Chinese).

[7] LI Xiao-dan. Theory and Method Study on traffic zone dynamic division based on spatial clustering analysis[D]. Shanghai: Tongji University, 2005. ( In Chinese).

[8] Anselin L. Spatial Econometrics: Methods and Models. Boston: Kluwer Academic, (1988).

[9] Anselin L. Spatial Externalities, Spatial Multipliers and Spatial Econometrics[J]. International Regional Science Review 2003, 26(2): 153-66.


[10] James LeSage, Sudipto Banerjee, Manfred M. Fischer et al. Spatial statistics: Methods, models & computation[J]. Computational Statistics & Data Analysis, 2009, 53(8): 2781-2785.