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Demonstration of public participation and communication through social media in the network society within Shanghai

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  • Miaoxi Zhao
  • Yanliu Lin
  • Ben Derudder

Abstract

The rapid development of information and communication technology has led to the Internet and social media becoming a vital platform for public participation in China. The present research sought to understand the complexity of participation in the network society by taking the cancellation of the number 55 bus route in Shanghai as a case study. Both qualitative and quantitative research methods were used to analyze data from a leading social networking site in China. An analysis of participation patterns led to an understanding of the main characteristics of public participation in the network society, and a statistical analysis of the network revealed the features of elite participants in the planning adjustment. A qualitative approach was also used to explore the communication process, which was influenced by Chinese social capital— guanxi . The case study revealed an uneven pattern of public participation in the network society, and suggestions are provided to enhance fairness and effectiveness in this process.

Suggested Citation

  • Miaoxi Zhao & Yanliu Lin & Ben Derudder, 2018. "Demonstration of public participation and communication through social media in the network society within Shanghai," Environment and Planning B, , vol. 45(3), pages 529-547, May.
  • Handle: RePEc:sae:envirb:v:45:y:2018:i:3:p:529-547
    DOI: 10.1177/2399808317690154
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    1. Bernard J. Jansen & Mimi Zhang & Kate Sobel & Abdur Chowdury, 2009. "Twitter power: Tweets as electronic word of mouth," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2169-2188, November.
    2. Yongjun Shin & Dong-Hee Shin, 2012. "Community Informatics and the New Urbanism: Incorporating Information and Communication Technologies into Planning Integrated Urban Communities," Journal of Urban Technology, Taylor & Francis Journals, vol. 19(1), pages 23-42.
    3. Divya Chandrasekhar & Yang Zhang & Yu Xiao, 2014. "Nontraditional Participation in Disaster Recovery Planning: Cases From China, India, and the United States," Journal of the American Planning Association, Taylor & Francis Journals, vol. 80(4), pages 373-384, October.
    4. Cascetta, Ennio & Cartenì, Armando & Pagliara, Francesca & Montanino, Marcello, 2015. "A new look at planning and designing transportation systems: A decision-making model based on cognitive rationality, stakeholder engagement and quantitative methods," Transport Policy, Elsevier, vol. 38(C), pages 27-39.
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