city networks membership dataset

<br><b>A snapshot of city network membership and environmental collaboration between local governments</b><br>This dataset represents the most comprehensive available accounting of city government memberships, as of late-2017, in city networks (TMNs), covering 84 networks and 10,343 cities in 208 countries. This accounts specifically for the collective and individual TMN memberships of each local government by category as follows: The number of concurrent memberships in all (84) TMNs observed collectively (Column J, “TMN”); a subset of the number of concurrent memberships specifically within the 31 environmentally-focused TMNs observed (Column K, “ETMN”); the individual memberships in specific, non-environmental TMNs (Columns L – BL, colored in light blue); and the individual memberships in specific environmental TMNs (Columns BM – CQ, colored in green). Coordinates are included for each city to enable use in mapping software, such as ArcGIS, for spatially joining with other city-level datasets. To enable merging with other national-level datasets, we also include ISO 3166 Country Codes at the 2- and 3-digit level.The networks represented in each category are listed in Table 1 in the Readme file. Figures 1 and 2 in that file and in Acuto and Leffel (2020) [1] visualize the data geographically as graduated symbols representing relative concurrent memberships (Fig. 1) and network ties formed by TMN secretariat-member city connections (Fig 2). Total geographic coverage includes 10,343 cities in 208 countries.Data from the TMN column is analyzed in Acuto and Leffel (2020),[1] which describes the full global landscape of memberships, and data from the ETMN column is analyzed in Leffel (2022),[2] which shows an association between urban greenhouse gas emissions reductions and concurrent ETMN memberships. A summary of the scholarship and state of the field of city network in environmental governance is provided in the more recent Acuto, Pejic, Mokhles et al. (2023) [3]. See footnotes for full citations.Please refer to the dataset's ReadMe file for more information on the content, method and application<br>[1] Acuto, Michele, and Benjamin Leffel. (2021) “Understanding the Global Ecosystem of City Networks.” <b><i>Urban Studies</i></b><b> </b>58 (9). 1758–74. doi:10.1177/0042098020929261.[2] Leffel, Benjamin. (2022). “Toward Global Urban Climate Mitigation: Linking National and Polycentric Systems of Environmental Change.” <b><i>Sociology of Development</i></b> 8 (1): 111–37. doi:https://doi.org/10.1525/sod.2021.0018.[3] Acuto, M., Pejic, D., Mokhles, S., Leffel, B. Leffel, B., Gordon, D., Martinez, R., Cortes, S. and Oke, C. (2024) What three decades of city networks tell us about city diplomacy’s potential for climate action. <b><i>Nature Cities</i></b> <b>1</b>, 533, 1-6. https://doi.org/10.1038/s44284-024-00101-0 <br>

### 地方政府间城市网络成员身份与环境协作快照
本数据集为截至2017年末现有最全面的城市政府在城市网络（TMNs）中的成员身份统计样本，涵盖208个国家的10343座城市与84个城市网络。本数据集按类别分别统计各地方政府的集体与个体城市网络成员身份：其一为所有84个观测城市网络的同时成员数（对应J列"TMN"）；其二为其中聚焦环境领域的31个城市网络（ETMN）的同时成员数（对应K列"ETMN"）；其三为特定非环境类城市网络的个体成员身份（对应L列至BL列，浅蓝色标注）；其四为特定环境类城市网络的个体成员身份（对应BM列至CQ列，绿色标注）。

数据集包含每座城市的坐标信息，可用于ArcGIS等制图软件，以与其他城市级数据集开展空间关联分析。为便于与国家级数据集合并，本数据集同时提供2位与3位编码的ISO 3166国家代码。

各类别涵盖的城市网络详见数据集自述文件（Readme File）中的表1。该自述文件及Acuto与Leffel（2020）[1]中的图1、图2将数据以分级符号可视化，分别代表相对同时成员数（图1）以及由城市网络秘书处-成员城市联结形成的网络关联（图2）。本数据集的地理覆盖范围涵盖208个国家的10343座城市。

TMN列的相关分析见Acuto与Leffel（2020）[1]，该文献阐述了全球城市网络成员身份的整体格局；ETMN列的相关分析见Leffel（2022）[2]，该文献揭示了城市温室气体减排与同时加入环境类城市网络之间的关联。Acuto、Pejic、Mokhles等人（2023）[3]对城市网络环境治理领域的研究成果与研究现状进行了综述。完整引用信息见脚注。

如需了解数据集的内容、构建方法与应用场景，请参阅该数据集的自述文件。

[1] Acuto, Michele, 与Benjamin Leffel. (2021) 《理解全球城市网络生态系统》. 《城市研究》(Urban Studies) 58(9): 1758–1774. doi:10.1177/0042098020929261.
[2] Leffel, Benjamin. (2022) 《迈向全球城市气候治理：联结国家与多中心环境变化体系》. 《发展社会学》(Sociology of Development) 8(1): 111–137. doi:https://doi.org/10.1525/sod.2021.0018.
[3] Acuto, M., Pejic, D., Mokhles, S., Leffel, B., Gordon, D., Martinez, R., Cortes, S. 与Oke, C. (2024) 《三十年城市网络研究揭示城市外交在气候行动中的潜力》. 《自然-城市》(Nature Cities) 1, 533: 1–6. https://doi.org/10.1038/s44284-024-00101-0