城市环境管理网络:组织如何在马里兰州巴尔的摩市合作、共享资源和交换知识

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY
Selena M. Livas , Dexter H. Locke , Nancy F. Sonti
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引用次数: 0

摘要

谁是管理当地社区环境的团体?他们在哪里工作?他们和谁一起工作?管理测绘和评估项目(STEW-MAP)调查已经对美国和世界各地几十个城市的环境管理团体进行了编目和测绘。该调查收集了受访者及其合作者之间的关系和网络联系。在本研究中,我们将重点放在2019年马里兰州巴尔的摩市的调查上,以更好地了解整个城市环境管理组织之间的关系。我们利用指数随机图模型(ergm)来探索预测三种不同类型关系形成的因素:协作、资源共享和知识共享。该网络包括1201个节点,节点总数为2884条。我们的研究结果表明,每种领带类型的网络结构都是独特的,但度分布有正偏斜的共同趋势,表明存在许多低度节点。我们还发现,这些组织的主要关注点和组织类型在其行为上产生了实质性的变化;由于一些小组被孤立,而另一些小组未得到充分利用,有一组小组设法渗透到所有三个网络中:以雨水为重点的小组。这项研究是第一个分析这个特定数据集的研究,也是少数几个使用网络模型分析通过STEW-MAP项目收集的数据的研究之一。这项工作帮助我们了解塑造巴尔的摩管理网络的社会力量,同时指出从业者可能扩大其影响范围的方法。总的来说,这项工作有助于拓宽我们对现代城市背景下地方环境合作的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urban environmental stewardship networks: How organizations collaborate, share resources, and exchange knowledge within Baltimore, Maryland
Who are the groups stewarding the environment within local communities, where do they work, and who do they work with? The Stewardship Mapping and Assessment Project (STEW-MAP) survey has cataloged and mapped environmental stewardship groups in dozens of cities within the US and worldwide. The survey collects relational, network ties among respondents and their collaborators. In this study, we focus on the 2019 Baltimore, Maryland survey to better understand the relationships among environmental stewardship organizations across the city. We utilize exponential random graph models (ERGMs) to explore the factors that predict the formation of three distinct types of ties: collaboration, resource sharing, and knowledge sharing. The networks include 1,201 nodes with 2,884 total ties among them. Our results show that the network structure of each tie type is unique, but there is a shared tendency for degree distributions to be positively skewed, indicating the presence of many lower degree nodes. We also find that the main focus of these organizations and the organization type create substantial variation in their behavior; with some groups siloed, and others underutilized, one set of groups has managed to permeate all three networks: stormwater-focused groups. This study is the first to analyze this specific dataset and one of the few to use network models to analyze data collected through the STEW-MAP project. This work helps us understand the social forces shaping Baltimore’s stewardship network, while pointing to ways in which practitioners could potentially expand their reach. Overall, this work helps broaden our understanding of local environmental cooperation within a modern urban context.
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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
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