Measuring social network influence on power relations in collaborative planning: A case study of Beijing City, China

被引:4
|
作者
He, Junyao [1 ]
Lin, Yanliu [1 ]
Hooimeijer, Pieter [1 ]
Monstadt, Jochen [1 ]
机构
[1] Univ Utrecht, Dept Human Geog & Spatial Planning, Vening Meineszgebouw A,Princetonlaan 8a, NL-3584 CB Utrecht, Netherlands
基金
欧洲研究理事会;
关键词
Social media; Collaborative planning; Power relation; Network power; Social network analysis; PUBLIC-PARTICIPATION; MEDIA; STRATEGIES; COMMUNICATION; REFLECTIONS; CONTROVERSY; CONSENSUS; SOCIETY; SPHERE; NORTH;
D O I
10.1016/j.cities.2024.104866
中图分类号
TU98 [区域规划、城乡规划];
学科分类号
0814 ; 082803 ; 0833 ;
摘要
Social media has recently become a networked public sphere for social interactions and power struggles in planning practice. However, little research has been done to understand the impact of social media on power relations in collaborative planning. This study uses the Bell and Drum Tower planning practice in Beijing as a case study to elaborate on whether and how social media empowers citizens, experts, and third parties to influence decision-making and promote a communicative planning process. It develops a mixed-methods approach that combines web scraping, social network analysis, and interviews to examine networked power generated by social media. It applies the three dimensions of a network (structure, symmetry, and strength) to measure new forms of power imbalances. The findings show that experts and journalists hold a significant amount of networked power and that social actors can enhance their influence by managing and controlling information flows. Power inequalities exist in the networked public sphere but shift away from governments to other actors, yet without jeopardizing the ultimate decision-making on the ground by the government. This study bridges the gap between network power theory and network science, turning the metaphor of network power into an evidencebased analysis based on a quantitative approach.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Measuring and mapping the flood vulnerability based on land-use patterns: a case study of Beijing, China
    Jie Liu
    Zhenwu Shi
    Dan Wang
    Natural Hazards, 2016, 83 : 1545 - 1565
  • [42] Measuring and mapping the flood vulnerability based on land-use patterns: a case study of Beijing, China
    Liu, Jie
    Shi, Zhenwu
    Wang, Dan
    NATURAL HAZARDS, 2016, 83 (03) : 1545 - 1565
  • [43] Shared-power governance in managing common pool resources case study: collaborative planning to manage thematic parks in Bandung City, Indonesia
    Nururrohmah, Zainab
    Suhirman
    CITIES 2015: INTELLIGENT PLANNING TOWARDS SMART CITIES, 2016, 227 : 465 - 476
  • [44] Research on an Analytical Framework for Urban Spatial Structural and Functional Optimisation: A Case Study of Beijing City, China
    Zhang, Wenting
    Li, Bo
    LAND, 2021, 10 (01) : 1 - 19
  • [45] DYNAMIC CHANGES AND IMPACT FACTORS OF VEGETATION COVERAGE IN THE HIGHLY URBANIZED CITY: A CASE STUDY OF BEIJING, CHINA
    Yuan, R. C.
    Wang, Z. C.
    Hu, W. M.
    Yin, C. X.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2022, 20 (06): : 4819 - 4834
  • [46] Life cycle carbon emission intensity assessment for photovoltaic greenhouses: A case study of Beijing City, China
    Wang, Longze
    Mao, Yuteng
    Li, Zhehan
    Yi, Xinxing
    Ma, Yiyi
    Zhang, Yan
    Li, Meicheng
    RENEWABLE ENERGY, 2024, 230
  • [47] Scenario analysis of urban energy saving and carbon abatement policies: A case study of Beijing city, China
    Feng, Y. Y.
    Zhang, L. X.
    18TH BIENNIAL ISEM CONFERENCE ON ECOLOGICAL MODELLING FOR GLOBAL CHANGE AND COUPLED HUMAN AND NATURAL SYSTEM, 2012, 13 : 632 - 644
  • [48] Measuring Enterprise-University-Institute collaborative innovation network of climate change mitigation technologies in China: a social network analysis approach
    Yuan, Qiezeng
    Chen, Heng
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [49] Entrepreneurial action and social private planning: a case study on relations between business and society
    Pantoja, Igor
    BRESIL-S, 2014, 6 : 119 - 140
  • [50] Predicting Trust Relations Within a Social Network: A Case Study on Emergency Response
    Vedula, Nikhita
    Parthasarathy, Srinivasan
    Shalin, Valerie L.
    PROCEEDINGS OF THE 2017 ACM WEB SCIENCE CONFERENCE (WEBSCI '17), 2017, : 53 - 62