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定义时空对象代替空间对象作为基本研究单元, 改进传统Moran's I指数为时空Moran's I指数, 以便适于分析道路交通的时空特性; 通过Moran散点图给出时空自相关意义下的交通流时空状态特征分类: 拥堵聚集、畅通聚集、拥堵异质和畅通异质.为说明改进时空Moran's I指数分析法的实际应用价值, 以北京市二环快速路外环方向的车流速度数据为例, 进行时空自相关指标计算, 并从全局与局部自相关两个方面分析时 空自相关指标所反映的交通状态时空分布与演化规律.
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关键词:
- 改进Moran's I指数 /
- 交通状态 /
- 时空自相关 /
- 时空分布
An improved Moran's I method is proposed to describe the spatio temporal features of road traffic flow based on the traditional Moran's I. The spatio temporal distribution classification of road traffic status including homogenous congested and uncongested traffic, heterogeneous congested and uncongested traffic is then given through Moran plotting graph. To verify the applicability of the proposed method, the traffic flow data along the second ring-shape urban expressway in Beijing is introduced for analysing the spatio temporal distribution and evolution of road traffic status from global and local autocorrelation through using the proposed method.-
Keywords:
- improved Moran's I /
- traffic state /
- spatio-temporal autocorrelation /
- spatio-temporal distribution
[1] Moran P A P 1950 Biometrika 37 17
[2] Chen Y G 2009 Geograph. Res. 28 1449 (in Chinese) [陈彦光 2009 地理研究 28 1449]
[3] Cliff A D, Ord J K 1973 Spatial Autocorrelation (London: Pion Limited)
[4] Cliff A D, Ord J K 1981 Spatial Processes: Models and Applications (London: Pion Limited)
[5] Anselin L 1995 Geograph. Anal. 27 93
[6] Zhu K L, Hao C L, Wang X B 2009 International Trade, Governmental Support and R&D Efficiency of Western Region in China Qingdao, China, July 24-29, 2009 544
[7] Yang Z S, Sliuzas R, Cai J M, Ottens H F L 2012 Int. J. Appl. Earth Observ. Geoinform. 19 252
[8] Zhang C S, Luo L, Xu W L, Ledwith V 2008 Sci. Total Environ. 398 212
[9] Huo X N, Li H, Sun D F, Zhou L D, Li B G 2012 Int. J. Environ. Res. Public Health 9 995
[10] Fuller M M, Enquist B J 2012 Ecography 35 510
[11] Trautwein C, Schinegger R, Schmutz S 2012 Aquat. Sci. 74 329
[12] Prasannakumar V, Vijith H, Charutha R, Geetha N 2011 Procedia Soc. Behav. Sci. 21 317
[13] Moons E, Brijs T, Wets G 2009 Lecture Notes in Comput. Sci. 5730 288
[14] Wen H Y, Xing K, Shen F 2008 Comput. Commun. 3 31 (in Chinese) [温惠英, 邢康, 沈芬 2008交通与计算机 3 31]
[15] Li S B, Wu J J, Gao Z Y, Lin Y, Fu B B 2011 Acta Phys. Sin. 60 050701 (in Chinese) [李树彬, 吴建军, 高自友, 林永, 傅白白 2011 物理学报 60 050701]
[16] He Z B, Ma S F, He G G 2010 Acta Phys. Sin. 59 171 (in Chinese) [贺正冰, 马寿峰, 贺国光 2010物理学报 59 171]
[17] Liu S X, Guan H Z, Yan H 2012 Acta Phys. Sin. 61 090506 (in Chinese) [刘诗序, 关宏志, 严海 2012 物理学报 61 090506]
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[1] Moran P A P 1950 Biometrika 37 17
[2] Chen Y G 2009 Geograph. Res. 28 1449 (in Chinese) [陈彦光 2009 地理研究 28 1449]
[3] Cliff A D, Ord J K 1973 Spatial Autocorrelation (London: Pion Limited)
[4] Cliff A D, Ord J K 1981 Spatial Processes: Models and Applications (London: Pion Limited)
[5] Anselin L 1995 Geograph. Anal. 27 93
[6] Zhu K L, Hao C L, Wang X B 2009 International Trade, Governmental Support and R&D Efficiency of Western Region in China Qingdao, China, July 24-29, 2009 544
[7] Yang Z S, Sliuzas R, Cai J M, Ottens H F L 2012 Int. J. Appl. Earth Observ. Geoinform. 19 252
[8] Zhang C S, Luo L, Xu W L, Ledwith V 2008 Sci. Total Environ. 398 212
[9] Huo X N, Li H, Sun D F, Zhou L D, Li B G 2012 Int. J. Environ. Res. Public Health 9 995
[10] Fuller M M, Enquist B J 2012 Ecography 35 510
[11] Trautwein C, Schinegger R, Schmutz S 2012 Aquat. Sci. 74 329
[12] Prasannakumar V, Vijith H, Charutha R, Geetha N 2011 Procedia Soc. Behav. Sci. 21 317
[13] Moons E, Brijs T, Wets G 2009 Lecture Notes in Comput. Sci. 5730 288
[14] Wen H Y, Xing K, Shen F 2008 Comput. Commun. 3 31 (in Chinese) [温惠英, 邢康, 沈芬 2008交通与计算机 3 31]
[15] Li S B, Wu J J, Gao Z Y, Lin Y, Fu B B 2011 Acta Phys. Sin. 60 050701 (in Chinese) [李树彬, 吴建军, 高自友, 林永, 傅白白 2011 物理学报 60 050701]
[16] He Z B, Ma S F, He G G 2010 Acta Phys. Sin. 59 171 (in Chinese) [贺正冰, 马寿峰, 贺国光 2010物理学报 59 171]
[17] Liu S X, Guan H Z, Yan H 2012 Acta Phys. Sin. 61 090506 (in Chinese) [刘诗序, 关宏志, 严海 2012 物理学报 61 090506]
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