Wei Bi

Dr. Wei Bi

orcid

Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 May 2025 in Buildings
Verified
Journal Article
Open access
PDF file
Jun WuJun Wu
Jun Wu
WLWenzhe Luo
Wenzhe Luo
WYweijian yu
weijian yu
Rungtai LinRungtai Lin
Rungtai Lin
WBWei Bi
Wei Bi
The rapid urbanization of the world has brought significant environmental, social, and economic challenges to human society. To build a sustainable county, there are many limiting factors, such as the environment, financial resources, and population. Based on this, the purpose of this study is to investigate how countries can empower their development through a sustainable design path for parks with the participation of all. The core of public participation in co-construction lies in the interactive relationship between the government, society, citizens, and many other groups. That is, “co-construction, co-governance, and sharing” is the basic content of the new pattern of social governance from the perspective of the park city; at its core is joint participation, division of labor, and cooperation. Using qualitative research methods, Kaiyuan, a county in Yunnan Province, was selected as a case study, focusing on the Phoenix Ecological Park and Happiness Lawn; citizens and managers were interviewed to explore paths for sustainable design in the counties. The contribution of this study is a research model of sustainable design for county parks with the participation of all the people. The study found that public participation should consider multiple co-constructions and formulate a sound sustainable design path from three dimensions: counties, managers, and citizens. Combined with the local characteristics of counties, the government has called on enterprises, organizations, and citizens to participate together in improving the quality of life and happiness of county residents. The results can be further verified in other counties.

16 July 2025 in Buildings
Verified
Journal Article
Open access
PDF file
ZDZhuoyao Deng
Zhuoyao Deng
DQDu Qingkun
Du Qingkun
BLBijun Lei
Bijun Lei
WBWei Bi
Wei Bi
Amid the increasing complexity of urban risks, urban parks not only serve ecological and recreational functions but are increasingly becoming a critical spatial foundation supporting public psychological resilience and social recovery. This study aims to systematically evaluate the daily adaptability of urban parks in the context of micro-risks. The research integrates the theories of “restorative environments,” environmental safety perception, urban resilience, and social ecology to construct a five-dimensional framework for perceived resilience, encompassing resilience, safety, sociability, controllability, and adaptability. Additionally, a dynamic feedback mechanism of perception–behavior–reperception is introduced. Methodologically, the study utilizes the Fuzzy Delphi Method (FDM) to identify 17 core indicators, constructs a causal structure and weighting system using DEMATEL-based ANP (DANP), and further employs the VIKOR model to simulate public preferences in a multi-criteria decision-making process. Taking three representative urban parks in Guangzhou as empirical case studies, the research identifies resilience and adaptability as key driving dimensions of the system. Factors such as environmental psychological resilience, functional diversity, and visual permeability show a significant path influence and priority intervention value. The empirical results further reveal significant spatial heterogeneity and group differences in the perceived resilience across ecological, neighborhood, and central park types, highlighting the importance of context-specific and user-adaptive strategies. The study finally proposes four optimization pathways, emphasizing the role of feedback mechanisms in enhancing urban park resilience and shaping “cognitive-friendly” spaces, providing a systematic modeling foundation and strategic reference for perception-driven urban public space optimization.