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关于城市交通、物流、生态综合发展的复杂系统研究方法
引用本文:王飞跃,戴汝为,张嗣瀛,陈国良,汤淑明,杨东援,杨晓光,李平. 关于城市交通、物流、生态综合发展的复杂系统研究方法[J]. 复杂系统与复杂性科学, 2004, 1(2): 60-69
作者姓名:王飞跃  戴汝为  张嗣瀛  陈国良  汤淑明  杨东援  杨晓光  李平
作者单位:1. 中国科学院复杂系统与智能科学重点实验室,北京,100080;亚利桑那大学,图森,亚利桑那,美国
2. 中国科学院复杂系统与智能科学重点实验室,北京,100080
3. 青岛大学,山东,青岛,266071
4. 中国科学技术大学,安徽,合肥,230026
5. 同济大学,上海,200092
6. 浙江大学,浙江,杭州,310027
基金项目:国家自然科学基金委杰出青年研究基金 ( 60 12 5 3 10 )
摘    要:必须综合考虑城市交通、物流和生态等城市化问题;这类问题不存在“一劳永逸”的解决方案;这类问题不存在一般意义的最优解,更不存在唯一的最优解。因此,基于复杂系统的思想,讨论在“不断探索和改善”的原则下,如何利用人工系统、计算实验、平行系统等新方法和理论,结合从定性到定量的综合集成方法和并行分布式高性能计算技术。寻求城市交通、物流和生态等城市化问题的有效解决方案,建立城市交通系统全面、协调、可持续发展的新型研究体系和方法。

关 键 词:城市交通 物流业 城市生态系统 人工系统
文章编号:1672-3813(2004)02-0060-10
修稿时间:2004-05-12

A Complex System Approach for Studying Sustainable and Integrated Development of Metropolitan Transportation,Logistics and Ecosystems
WANG Fei-yue ,,DAI Ru-wei ,ZHANG Si-ying ,CHEN Guo-liang ,TANG Shu-ming ,YANG Dong-yuan ,YANG Xiao-guang ,LI Ping. A Complex System Approach for Studying Sustainable and Integrated Development of Metropolitan Transportation,Logistics and Ecosystems[J]. , 2004, 1(2): 60-69
Authors:WANG Fei-yue     DAI Ru-wei   ZHANG Si-ying   CHEN Guo-liang   TANG Shu-ming   YANG Dong-yuan   YANG Xiao-guang   LI Ping
Affiliation:WANG Fei-yue 1,6,DAI Ru-wei 1,ZHANG Si-ying 2,CHEN Guo-liang 3,TANG Shu-ming 1,YANG Dong-yuan 4,YANG Xiao-guang 4,LI Ping 5
Abstract:This discussion of this paper is based the following considerations: An integrated approach must be used to address problems in sustainable development of metropolitan transportation, logistics, and ecosystems; There is no permanent solution to those problems; There is no optimal solution to those problems, lest unique solutions. Our objective is to use the concepts and methods in complex systems and complexity to find effective solutions to those problems, and eventually to establish a systematic approach for investigating the problems in sustainable development of metropolitan transportation, logistics, and ecosystems under the principle of continuous exploration and improvement. Our major methods and tools are artificial systems, computational experiments, parallel systems, meta-synthesis, halls of workshops, and parallel and distributed computing, especially grid computing and peer-to-peer computing.
Keywords:transportation  logistics  ecosystems  artificial systems  computational experiments  parallel systems  meta-synthesis  halls of workshops
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