摘要

This study investigates the transformative role of digital technologies in community governance through a mixed-methods case study of Zhejiang Province's Future Communities initiative. Utilizing a mixed-methods research design, we first identify six distinct community typologies from demographic data across 28 pilot communities via clustering analysis. We then systematically integrate these quantitative classifications with deep qualitative insights from resident interviews, which serve as a critical corrective to the top-down framework. Our findings illustrate a significant tension between policy ambitions and lived realities: while residents acknowledge the convenience of smart technologies, their experiences are dominated by cross-cutting challenges, including a persistent digital divide that transcends age, profound anxieties about data privacy and surveillance, and a strong desire for human-centric services over rigid automation. The findings highlight that effective and equitable digital governance depends on context-sensitive and human-centered design, emphasizing inclusivity, participatory processes, and robust data protection. By linking demographic typologies with resident experiences, this study proposes a theoretically informed and empirically grounded analytical framework that can inform the adaptive design of governance strategies in the digital era. The research offers valuable insights for policymakers, urban planners, and scholars seeking to advance more inclusive and ethically grounded forms of digital governance.

文献来源

内容结构

1. Introduction 引言

图1 浙江省未来社区建设的空间分布

图2 研究设计框架

2. Literature review文献综述

2.1. Global visions of digital community governance数字社区治理的全球愿景

2.2. Smart governance in China: Structural drivers and institutional constraints 中国的智慧治理：结构驱动因素与制度限制

2.3. Implementing future communities in Zhejiang: Platformization and its limits在浙江实施未来社区：平台化及其局限性

2.4. Theoretical frameworks for typology and scenario planning类型学与情景规划的理论框架

2.5. Research gap研究空白

3. Methods方法

3.1. Development of a comprehensive community database综合社区数据库的开发

3.1.1. Database design, structure, and data sources 数据库设计、结构与数据源

3.1.2. Data collection, processing, and storage数据收集、处理与存储

3.2.1. Data preparation for clustering 聚类数据准备

3.2.2. Optimal cluster determination最优簇确定

3.2.3. K-means clustering implementationK-均值聚类实现

3.3. Aligning community needs with governance scenarios将社区需求与治理场景对齐

3.3.1. Overview of governance scenarios治理场景概述

3.4. Qualitative data collection and analysis定性数据收集与分析

3.4.1. Participant selection and data collection 参与者选择与数据收集

3.4.2. Qualitative data analysis定性数据分析

4. Result结果

4.1. Community typologies based on population profiles基于种群特征的群落类型

4.2. The lived realities of digital governance: Three key themes from qualitative interviews数字治理的现实生活：定性访谈中的三个关键主题

4.2.1. Theme 1: The chasm of usability and the persistent digital divide主题1：可用性的鸿沟与持续的数字鸿沟

4.2.2. Theme 2: The privacy-convenience trade-off and a crisis of data trust 主题2：隐私与便利权衡及数据信任危机

4.2.3. Theme 3: The limits of automation and the enduring value of human interaction主题3：自动化的局限性与人类互动的持久价值

4.3. Integrated analysis: Aligning governance scenarios with typologies and resident realities综合分析：将治理场景与类型学和居民现实对齐

4.3.1. Economically suitable communities (ESC)经济适宜社区（ESC）

4.3.2. Family matured communities (FMC)家庭成熟社区（FMC）

4.3.3. Modern professional communities (MPC) 现代专业社区(MPC)

4.4.4 Vibrantly diverse communities (VDC)充满活力的多元社区（VDC）

4.3.5. Culturally comfortable communities (CCC)文化舒适社区（CCC）

4.3.6. Youthful vigor communities (YVC) 青年活力社区（YVC）

5. Discussion讨论

5.1. Tensions between data-driven models and lived realities数据驱动模型与现实生活中的张力

5.2. Practical lessons for human-centered digital governance以人为本的数字治理的实用经验

5.3. Theoretical implications: A socio-technical dialogue with Chinese smart urbanism理论启示：与中国智慧城市主义的社会技术对话

5.4. Limitations and future research directions局限性与未来研究方向

6. Conclusion结论

思维导图

注：思维导图由AI工具基于原文解析而得。

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