Impact of Communication Quality in Facilitating Citizen Participation in Urban Planning

Author:

Yonggang Huang1

Affiliation:

1. Beijing Institute of Technology, Haidian District, 100081 Beijing, China.

Abstract

Urban planning procedures are difficult for individuals to understand due to their complexity, which stems from the large number of parties involved, the existence of legal and political processes, and the presence of bureaucracy. Despite towns' efforts to include more residents in shaping their communities, participation remains low, and citizens' involvement often occurs late in the design process, when changes are more difficult to implement. That is not because people are not interested; instead, it is because plans have not been conveyed well enough for people to understand the repercussions before it is too late to have an impact. Citizens' comprehension, involvement, and ownership of plan proposals may all benefit from more opportunities for public participation in the planning process. As an alternative to data based only on technical and statistical understanding, citizen engagement may augment analysis with useful information at a human level. In that regard, this study will investigate how towns might enhance communication quality by making information more readily available and presenting it in a style and tone that are more likely to encourage debate and collaboration among its constituents.

Publisher

Anapub Publications

Subject

History,Sociology and Political Science,Ophthalmology,General Medicine,Ophthalmology,General Medicine,Ophthalmology,Orthopedics and Sports Medicine,Physical Therapy, Sports Therapy and Rehabilitation,Education,Organizational Behavior and Human Resource Management,Sociology and Political Science,Industrial relations,Infectious Diseases,Virology,Rheumatology,Rheumatology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Understanding Citizen Engagement in the Era of Smart Cities;Edge Computing - Architecture and Applications for Smart Cities [Working Title];2024-09-11

2. Comparison of Machine Learning Techniques Based on Feature Reduction to Detect Diabetic Retinopathy;2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS);2023-03-17

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