Yunfeng Chen

Dr. Yunfeng Chen

School of Construction Management Technology, Purdue University, West Lafayette, Indiana, 47907, USA
orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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YAYibin Ao
Yibin Ao
QFQiqi Feng
Qiqi Feng
ZZZhongli Zhou
Zhongli Zhou
YCYunfeng Chen
Yunfeng Chen
Tong WangTong Wang
Tong Wang
The rural three-tier healthcare system is an essential part of the Chinese healthcare service system. To ensure rural residents’ equal access to such healthcare services, it is necessary to examine the current status of the healthcare system in rural China and formulate corresponding improvement suggestions. This study therefore collects the data from the China Health Statistics Yearbook, the China Health Yearbook and the China Statistical Yearbook between the years 2004 and 2021 to calculate the Gini coefficient (G), health resource density index (HRDI) and Theil index (T) first, and then perform the Mann–Kendall test afterwards to evaluate the equity of healthcare resource allocation comprehensively. This series of analysis helps in drawing the following conclusions: (1) county and county-level city medical and health institutions (CMHIs) show a higher development trend in comparison with township hospitals (THs) and village clinics (VCs); (2) VCs have higher institutional fairness, while for beds and personnel, CMHIs and THs are more fairly positioned; (3) more specifically for CMHIs and THs, personnel allocation is more fair than beds and institution allocations; (4) the density of healthcare resources in the eastern and central regions is higher than that in the western part, while the intra-regional distribution of beds and personnel in the west and central regions is better than that in the eastern region; (5) intra-regional differences are more significant than inter-regional differences and the fairness according to population distribution is higher than that of geographical area allocation. The results of this study provide theoretical basis for further optimizing the allocation of healthcare resources and improving the fairness of healthcare resources allocation from a macro perspective.


17 January 2022 in Engineering, Construction and Architectural Management
Verified
Journal Article
Closed access
XGXingzhou Guo
Xingzhou Guo
HWHongyue Wu
Hongyue Wu
YCYunfeng Chen
Yunfeng Chen
YCYuan Chang
Yuan Chang
YAYibin Ao
Yibin Ao
Purpose: Personal lifestyle, work environments and work-related factors can significantly affect occupant productivity. Although many studies examine the affecting factors of occupant productivity in offices, explorations for the home-based work environment, which is designed mainly for living purposes, are still scarce. Moreover, current pandemic has made work from home a new normal for workers around the world. Therefore, it is important to identify key causal factors of occupant productivity when working from home.Design/methodology/approach: This study employed descriptive analysis and regression analysis method to explore the relationship among personal lifestyle, indoor environmental quality and work-related factors toward occupant productivity. A questionnaire including a comprehensive list of key measures was designed and 189 valid responses were collected from more than 13,000 participants.Findings: Results show that a healthy lifestyle, the perceived satisfaction of visual and acoustic environment, communication, interest in work, workload, flexible schedule and privacy positively affect occupant productivity when working from home, while coffee consumption, outside views and windows have negative effect.Originality/value: Opportunities to enhance occupants' home-based work productivity include developing a healthy lifestyle by taking advantage of flexible schedule, equipping a working room at home with advanced and intelligent environment control systems, and improving communication, workload and schedule by changing the policy of companies.

YAYibin Ao
Yibin Ao
LTLing Tan
Ling Tan
QFQiqi Feng
Qiqi Feng
LTLiyao Tan
Liyao Tan
HLHongfu Li
Hongfu Li
YCYunfeng Chen
Yunfeng Chen
The global climate change has resulted in huge flood damages, which seriously hinders the sustainable development of rural economy and society and causes famers’ livelihood problems. In flood-prone areas, it is imperative to actively study short and long-term strategies and solve farmers’ livelihood problems accordingly. Following the sustainable development analysis framework proposed by the Department for International Development (DFID), this study collects empirical data of 360 rural households in six sample villages in the Jialing River Basin of Sichuan Province, China through a village-to-household field questionnaire and applies the Multinominal Logit Model (MNL) to explore the influence of farmer households’ capital on livelihood strategy choice. Research results show that: (1) In human capital category, the education level of the household head has a significant positive impact on the livelihood strategies of farmers’ families; (2) In physical capital category, farmer households with larger space have more funds to choose among flood adaptation strategies; (3) In natural capital category, house location and the sale of family property for cash have the greatest negative impact on farmers’ livelihood strategies; (4) Rural households with more credit opportunities in financial capital are more willing to obtain emergency relief funds; (5) Farmers’ families helped by the village for a long time will probably not choose to move to avoid floods, but are more likely to choose buying flood insurance. This study provides an empirical reference for effective short and long term prevention and mitigation strategies design and application in rural in flood-prone areas.

9 March 2022 in Frontiers in Public Health
Verified
Journal Article
Open access
HWHongyue Wu
Hongyue Wu
QSQ. Chelsea Song
Q. Chelsea Song
RPRobert W. Proctor
Robert W. Proctor
YCYunfeng Chen
Yunfeng Chen
Work-from-home (WFH) influences both work and life, and further impacts family relationships. The current study explored the impacts of WFH on family relationships during the COVID-19 pandemic and identified effective adaptive processes for maintaining family relationships under WFH. Using the Vulnerability-Stress-Adaptation (VSA) model, the study examined the roles of adaptive processes (spending time with family members and balancing work and life) and demographic differences (gender, age, marital status, and education level) in the relation between WFH and family relationships. Path analysis results based on an online survey (N = 150) suggested that, overall, WFH improved family relationships through proper adaptive processes. WFH had a positive relation to time spent with family members, and this relation was especially salient for workers with lower education levels. While there was no statistically significant overall relation between WFH and work-life balance, older workers tended to engage in increased work-life balance during WFH. Both adaptive processes were positively related to family relationship quality. The findings advance the understanding of family relationships and WFH and provide practical recommendations to enhance family relationships under WFH.

1 January 2024 in Journal of Civil Engineering Education
Verified
Journal Article
Closed access
FYFan Yang
Fan Yang
TATemitope Akanbi
Temitope Akanbi
OCOscar Wong Chong
Oscar Wong Chong
JZJian-song Zhang
Jian-song Zhang
LDLuciana Debs
Luciana Debs
BHBryan J. Hubbard
Bryan J. Hubbard