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首页> 外文会议>18th world congress on intelligent transport systems, 2011 ITS America's annual meeting and exposition. >APPLICATIONS OF SOCIAL NETWORK ANALYSIS IN REGIONAL ITS DEVELOPMENTS
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APPLICATIONS OF SOCIAL NETWORK ANALYSIS IN REGIONAL ITS DEVELOPMENTS

机译：社会网络分析在区域发展中的应用

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This paper aims to apply Social Network Analysis method in an investigation of interagency relationship in regional ITS system development. Government agencies who are involved in policy making, planning, and implementation of ITS systems rely on inter-agency cooperation to achieve their goals and expectations. From a network analysis perspective, these agencies build up ties with others and form networks for a specific purpose. We suggest a network-based approach to investigate the inter-agent interactions in regional ITS communities. Data on interagency relationships are based on direct observations and historic data. The network analysis approach enables us to recognize key groups/communities, identify key nodes and links, and discover structural holes with the potential of recommending new ties between agencies. The New York-New Jersey-Connecticut metropolitan region is a very unique example of complex transportation systems, where agencies are involved in multiple levels of policy making, planning, and implementation of activities in the transportation domain. By studying the centrality measures and component partitions of the individual networks and their combination, we found some agencies who were appointed to address regional issues function effectively and are active in assisting interagency communication. It was also observed that some agencies present themselves in more favorable positions when they participate in the regional ITS developments, while others are not as powerful in terms of controlling and monitoring information exchange in the network. The result of this research may facilitate the improvements of collaboration mechanism between agencies to achieve higher effectiveness.
机译：本文旨在将社会网络分析方法应用于区域ITS系统开发中的机构间关系调查。参与ITS系统的决策，规划和实施的政府机构依靠机构间合作来实现其目标和期望。从网络分析的角度来看，这些机构与其他机构建立了联系，并为特定目的形成了网络。我们建议使用一种基于网络的方法来调查区域ITS社区中的代理间交互。机构间关系数据基于直接观察和历史数据。网络分析方法使我们能够识别关键的团体/社区，识别关键的节点和链接，并发现可能建议中介机构之间建立新联系的结构性漏洞。纽约-新泽西州-康涅狄格州都会区是复杂交通系统的一个非常独特的例子，在该系统中，代理机构参与了交通领域活动的多层次决策，计划和实施活动。通过研究单个网络的集中度度量和组成部分及其组合，我们发现一些被任命为解决区域问题的机构有效地发挥了作用，并积极协助机构间的沟通。还观察到，一些机构参与区域ITS的发展时会处于更有利的位置，而其他机构在控制和监视网络中的信息交换方面却没有那么强大。这项研究的结果可能有助于改善机构之间的协作机制，以达到更高的效力。

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