Changes Research on Spatial Distribution of Resident Trips Based on Information Entropy

Abstract

Abstract: Based on analysis of information entropy, this paper puts forward that information entropy can describe the spatial distribution changes of one city’s resident trips better than OD desire line in different periods. A case study in Guangzhou draws out conclusions that the increase of equilibrium degree of spatial distribution from 1984 to 1998 is mainly due to the improvement of Guangzhou’s internal function and its inconspicuously decrease from 1998 to 2005 is mainly due to the extending of region scale and the change of city configuration.

Key words: information entropy, system, resident trips, spatial distribution

摘要： 在简要分析信息熵原理的基础上提出：相对于OD期望线，信息熵可以从定量的角度更加直观地表征同一城市不同时期居民出行空间分布的变化情况。对广州市不同时期的居民出行空间分布进行实例分析后得出结论：1984年至1998年居民出行空间分布均衡程度提高主要与城市内部功能完善有关；1998年至2005年居民出行空间分布均衡程度缓慢下降主要与城市地域规模的扩大以及城市形态的变化有关。

关键词: 信息熵, 系统, 居民出行, 空间分布

CLC Number:

U491.1

LIN Hong, LI Jun. Changes Research on Spatial Distribution of Resident Trips Based on Information Entropy[J]. Journal of Transportation Systems Engineering and Information Technology, 2007, 7(5): 110-114 .

林红,李军. 基于信息熵的居民出行空间分布变化研究[J]. 交通运输系统工程与信息, 2007, 7(5): 110-114 .

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URL: http://www.tseit.org.cn/EN/abstract/abstract17588.shtml

http://www.tseit.org.cn/EN/Y2007/V7/I5/110

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