通讯机构：
[Shihai Wu] S;School of Architecture, Changsha University of Science and Technology, Changsha 410083, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
Belt and Road Initiative (BRI);mining resources;investment risk assessment;entropy-fuzzy method
摘要：
As the Belt and Road Initiative (BRI) continues to advance, the proportion of China's investment in mineral resources has increased yearly. However, the current research on mineral resources investment risk mainly focuses on specific resources or combinations of minerals. There is still a lack of risk assessment research regarding mineral resources as a whole, which leads to the lack of appropriate methods for decision makers to consider the overall investment risk. This research establishes a six-dimension (6-D) investment evaluation indicator system to comprehensively assess the mineral resources, including political, economic, social, resource potential, environmental risks, and China factors, and 50 countries were studied. Various mineral resources are integrated into the resource potential dimension for quantitative risk assessment calculations. The entropy- fuzzy method determines the indicator's weights and calculates the risk assessment. The results indicate that resource potential is the main determinant of overseas mineral resources investment. The outcomes show that Saudi Arabia, the United Arab Emirates, Pakistan, India, Kazakhstan, Malaysia, Indonesia, and Russia are ideal for China's mineral resources investment. The findings provide a theoretical and methodological basis for the further macroscopic study of mineral resources investment risk between countries.
通讯机构：
[Simian Liu; Jiaqi Shi] H;Health Building Research Center, Central South University, Changsha 410075, China<&wdkj&>College of Architecture, Changsha University of Science & Technology, Changsha 410114, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>School of Architecture and Art, Central South University, Changsha 410075, China<&wdkj&>Health Building Research Center, Central South University, Changsha 410075, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>School of Architecture and Art, Central South University, Changsha 410075, China
关键词：
residential environments;indoor air quality;satisfaction;the elderly;ancient town
摘要：
This study uses behavioral observation, interviews, and questionnaire research to investigate the residential environment. It also evaluates the elderly in four representative ancient towns of Xiangxi, namely, Liye Ancient Town, Furong Ancient Town, Liexi Ancient Town, and Xichehe Ancient Town. It includes indoor air (CO2, PM2.5, PM10) and light intensity monitoring for the residential environment. The results showed that the elderly had a significant sense of frustration and loneliness. Of the elderyly, 70% believed the current living environment had an impact on healthy living, and 45% believed the safety and convenience of the living environment should be improved. More than 80% of the elderly were dissatisfied with their indoor acoustic environment, and more than 70% were dissatisfied with their home transportation. More than 85% of the elderly considered traditional wooden components and spaces to be the source of cultural identity. Furthermore, the average indoor PM2.5 concentration during the fire pit fire was 350-600 mu g/m(3), about 4.7-8 times the Chinese standard value. The average concentration of PM10 in all rooms was more than 400 mu g/m(3), approximately three times the Chinese standard value. Also, targeted environmental improvement strategies were proposed. The study results provided actual information to develop a systematic approach and a targeted design based on the needs to improve the residential environment of the elderly in ancient cities.
期刊：
International Journal of Industrial and Systems Engineering,2022年41(3):349-362 ISSN：1748-5037
通讯作者：
Xiong, H.-H.
作者机构：
[Lie Yu] School of Hydraulic Engineering, Changsha University of Science and Technology, Changsha, 410114, China;[Chuan He; Jin Lin; Xin Xiang] School of Architecture, Changsha University of Science and Technology, Changsha 410114, China;[Hui-hua Xiong] School of Architecture and Urban Planning, Hunan City University, Yiyang, 413000, China
通讯机构：
School of Architecture and Urban Planning, Hunan City University, Yiyang, China
期刊：
Engineering with Computers,2022年38(1):647-660 ISSN：0177-0667
通讯作者：
Loke Kok Foong;Lyu, Zongjie
作者机构：
[Wu, Dizi] Changsha Univ Sci & Technol, Sch Architecture, Changsha 410004, Peoples R China.;[Loke Kok Foong] Ton Duc Thang Univ, Dept Management Sci & Technol Dev, Ho Chi Minh City, Vietnam.;[Loke Kok Foong] Ton Duc Thang Univ, Fac Civil Engn, Ho Chi Minh City, Vietnam.;[Lyu, Zongjie] Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam.;[Lyu, Zongjie] Duy Tan Univ, Fac Civil Engn, Da Nang 550000, Vietnam.
通讯机构：
[Loke Kok Foong] T;[Lyu, Zongjie] D;Ton Duc Thang Univ, Dept Management Sci & Technol Dev, Ho Chi Minh City, Vietnam.;Ton Duc Thang Univ, Fac Civil Engn, Ho Chi Minh City, Vietnam.;Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam.
关键词：
Energy efficiency;Heating load;Neural computing;Metaheuristic vortex search algorithm
摘要：
针对城市历史文化问题的研究,文章采用数字可视化软件(CiteSpace),以"历史街区""保护"为主题,对CNKI数据库与Web of Science数据库近30年发表的相关论文的研究机构、作者、关键词等知识图谱进行可视化分析.更加直观地呈现出历史文化街区保护的整体信息全景,系统地梳理该领域的研究现状、研究前沿和研究热点.归纳总结出,国内外历史文化街区保护研究主要涵盖了历史街区的概念与评定标准、保护原则与手段、量化技术在街区保护中的应用和多元视角下街区保护等内容.探寻了我国关于历史街区保护的研究脉络和演变规律.研究表明,我国30年历史文化街区保护的相关研究逐步走向成熟和完善,但在整体联动性、研究的深度和广度,以及经济和社会治理层面的研究还有待进一步提升,后续研究将在大数据、人工智能技术和智慧城市背景下更加科学和全面地展开.
