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Browsing by Author "Ge, Mengting"

Now showing 1 - 8 of 8
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    Application of Comprehensive Evaluation in New-Product-Development Evaluation: The Case of Landscape-Architectural Outdoor Wooden Furnishing
    Cui, Xiaolei; Ge, Mengting; Shen, Xiwei (MDPI, 2022-09-23)
    Successful new product development (NPD) is critical for modern outdoor wooden furnishing (OWF) manufacturing companies to achieve competitive success, since current users have the serious requirements of aesthetics, materials and environmental quality. Identifying the competitive performance of a product in development is an effective means to minimize the risk of failure. However, the literature reviews of the comprehensive evaluation (CE) model for OWF NPD are very rare. In this study, the CE method that applies three steps, which include constructing evaluation criteria, establishing a trapezoidal fuzzy analytic hierarchy process (AHP) and proposing a CE model is applied to assess the performance of a product in development and to minimize the risk of product failure in the market. The study aims to propose a CE approach for OWF NDP, which utilizes multiple methods that incorporate a literature review, questionnaire, Delphi method and fuzzy trapezoidal AHP. Finally, an integrated CE model is proposed to measure the competitive performance of NPD. A case study of a series of OWF in Harbin Pingfang Park, China is presented to illustrate the feasibility of the model. The result demonstrates that the proposed method predicts the performance of a product in development objectively and comprehensively. This evaluation method, being an assessment tool, can help designers and decision makers make better decisions and will predict the competitive performance of a product so as to reduce the risk of economic losses, not merely depending on previous experience and personal expectation.
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    Effects of Air Exchange Rate on VOCs and Odor Emission from PVC Veneered Plywood Used in Indoor Built Environment
    Ge, Mengting; Zheng, Yongli; Zhu, Yifanzi; Ge, Jintian; Zhang, Qin (MDPI, 2023-09-14)
    As people spend more than 80% of the day in an indoor built environment, indoor air quality pollution caused by volatile organic compounds (VOCs) emitted from wood-based panels has attracted attention. PVC veneered plywood used in the indoor built environment and relevant VOCs and odor emission under different air exchange rates were studied in this research. Microcell thermal extraction technology was used to sample under the conditions of three different air exchange rates and loading factors: 0.2 m3·h−1·m−2, 0.5 m3·h−1·m−2, and 1.0 m3·h−1·m−2, respectively. Gas Chromatography-Olfactometry-Mass Spectrometry (GC-MS-O) was used to analyze VOCs and their odor release characteristics. The key odor characteristic compounds were analyzed by subjective and objective methods, and the main sources of odor release from the board were analyzed. In this experiment, the time-intensity method is mainly used to analyze the mass concentration of VOCs released from plywood. By comparing the mass concentration and odor intensity of VOCs released from plywood and its components under different air exchange rates and loading factors, the influence of the ratio of air exchange rate to loading factor on plywood is judged. The results show that with three different ratios of air exchange rate to loading factor, the VOCs emission concentration and odor intensity of plywood can be affected greatly and are the highest at 0.2 m3·h−1·m−2. The components released by PVC veneered plywood are mainly aromatic compounds, alkanes and aldehydes. The research findings can guide the indoor built environment design and construction process to control the emission of VOCs by adjusting the air exchange rate, which helps build more healthy and sustainable living environments for humans.
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    An Evaluation Model of Riparian Landscape: A Case in Rural Qingxi Area, Shanghai
    Wang, Ling; Ge, Mengting; Chen, Naiguang; Ding, Jiahui; Shen, Xiwei (MDPI, 2022-09-08)
    The suburbs around Shanghai have a complex river network and a unique Chinese water-town culture. The riparian landscape in the rural Qingxi area has important regional, ecological, and social significance; it serves as an important part of the local bioclimate, but the existing studies on river vegetation did not pay enough attention to the riparian landscape in the countryside around the metropolis. The goal of this study was to examine a comprehensive evaluation model for the river plant landscape in the countryside surrounding a high-density metropolis such as Shanghai in the face of the national policy of rural revitalization and the low-carbon development problem, and to propose optimization strategies accordingly. Therefore, in this study, we selected 91 rivers in the Qingxi area and investigated their plant communities. According to the characteristics of the riparian landscape and its relationship with the river environment and local bioclimate, we classified the 91 riparian landscapes into four types of quadrats: natural landscape, residential recreation, roadside linear landscape, and agricultural landscape. In addition, based on the 13 indicator layers under the categories of ecological carrying capacity, landscape beauty, and social service, we calculated the comprehensive evaluation value (CEV) and comprehensive evaluation index (CEI) of 91 river quadrants using specific formulas to scientifically evaluate the riparian landscape in the rural Qingxi area of Shanghai. Finally, based on the existing problems summarized through data analysis, the researchers proposed five optimization directions: (1) increasing vegetation diversity, (2) choosing native and culturally representative species, (3) improving waterfront planting design, (4) achieving ecological riverbank construction, and (5) building greenway systems and recreational spaces. This study proposed an innovative evaluation model for the riparian vegetation landscape and tested its feasibility by site survey, which provided new visions for future rural landscape research.
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    Examine an Intelligence Education Framework of Landscape Architecture (EFLA) Based on Network Model of Technology in Landscape Architecture (NMTLA)
    Ge, Mengting; Kong, Jie; Yang, Qiuyi; Chen, Mingze; Wang, Wenji (MDPI, 2023-07-19)
    The discipline of Landscape Architecture (LA) is currently expanding its disciplinary boundary. The supporting Technology in LA (TLA) is always evolving and optimized to solve environmental problems. Considering the uncertain classification of the current LA knowledge for education and the importance of technology in LA education, a refined education framework of LA is needed. This research first established a Network Model of Technology in LA (NMTLA) using Network Analysis (NA) and expert interviews. Then, this research proposed an Education Framework of LA (EFLA) based on the NMTLA. To build the NMTLA, this research identified 23 key categories of TLA through content analysis of secondary research. Then, the expert interview and network theory were used to analyze and visualize the relationships among the categories. By examining the degree centrality, closeness centrality, and betweenness centrality of different TLA, this study developed an EFLA which summarizes the twenty-three categories of TLA into four domains: core techniques, applied technologies, integrated technologies, and specific technologies. This study also proposes a series of suggestions for how to apply different categories of TLA in today’s and future LA education. The proposed NMTLA and EFLA in this research can contribute to the development of future LA higher education. They also can potentially address the Sustainable Development Goals (SDGs) in LA education and industry. However, the scope of this study is currently limited to LA education in the USA, which could be expanded to include a worldwide perspective in future research. To enhance the validity of the conclusions, a larger sample size for interviews should be employed in further studies.
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    Examining the Conceptual Model of Potential Urban Development Patch (PUDP), VOCs, and Food Culture in Urban Ecology: A Case in Chengdu, China
    Shen, Xiwei; Chen, Mingze; Ge, Mengting; Padua, Mary G. (MDPI, 2022-08-26)
    In China, traditional food is a significant element of culture that affects human behaviors. The point of interest (POI) of traditional food restaurants’ location and their volatile organic compounds (VOCs) emissions affect the urban ecology. Rather than examine potential urban development patch (PUDP) based on land use data, the perspective of this paper is to examine the PUDP, air quality, and food culture in urban ecology in Chengdu, China. Methods: First, the research identifies three types of PUDP models (open PUDP, landscape PUDP, and conflict PUDP) with the weighted overlay of land use data, then uses machine learning to examine the relationship between PUDP, POI of traditional food restaurant, and VOCs. Results: The study generates three types of PUDP which are open PUDP, landscape PUDP, and conflict PUDP. VOCs and POI of traditional restaurant have a strong correlation, and both have a significant negative correlation with open PUDP. However, the landscape PUDP and conflict PUDP do not show an obvious relationship with food POI and VOCs. Conclusion: The results indicate that the future urban ecology should consider restaurant location, VOCs from restaurants, and their relationship to urban land use data as they have a strong relationship.
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    Examining the Microclimate Pattern and Related Spatial Perception of the Urban Stormwater Management Landscape: The Case of Rain Gardens
    Ge, Mengting; Huang, Yang; Zhu, Yifanzi; Kim, Mintai; Cui, Xiaolei (MDPI, 2023-07-12)
    This study examines the microclimate pattern and related spatial perception of urban green stormwater infrastructure (GSI) and the stormwater management landscape, using rain gardens as a case study. It investigates the relationship between different rain garden design factors, such as scale, depth, and planting design, and their effects on microclimate patterns and human spatial perception. Taking an area in Blacksburg, Virginia, as the study site, twelve rain garden design scenarios are generated by combining different design factors. The potential air temperature, relative humidity, and wind speed/direction are analyzed through computational simulation. Additionally, feelings of comfort, the visual beauty of the landscape, and the overall favorite are used as an evaluation index to investigate people’s perception of various rain garden design options. The study found that a multilayer and complex planting design can add more areas with moderate temperature and higher humidity. It also significantly improves people’s subjective perception of a rain garden. Furthermore, a larger scale rain garden can make people feel more comfortable and improve the visual beauty of the landscape, highlighting the importance of designing larger and recreational bioretention cells in GSI systems. Regarding depth, a relatively flatter rain garden with a complex planting design can bring stronger air flow and achieve better visual comfort and visual beauty. Overall, by examining the microclimate pattern and related perception of rain gardens, this study provides insight into better rain garden design strategies for the urban stormwater management landscape. It explores the potential of rain garden design in urban GSI and responds to climate change.
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    Exploring Tourists' Multilevel Spatial Cognition of Historical Town Based on Multi-Source Data - A Case Study of Feng Jing Ancient Town in Shanghai
    Wang, Ling; Ding, Jiahui; Chen, Mingze; Sun, Yuan; Tang, Xueyun; Ge, Mengting (MDPI, 2022-11-01)
    Conducting research on the spatial cognition of tourists in historical towns helps to balance cultural heritage protection and tourism development. However, the current tourist cognition research is not comprehensive enough in terms of data sources, time dimension, and spatial objects. This research takes Fengjing Ancient Town in Shanghai as an example, and through multi-source data analysis explores how tourists’ perception and cognition of the attractions changes, discusses the impacts of characteristic of spatial system and elements on perception, and then establishes a spatial cognition analysis framework involving time dimension, cognitive depth, and spatial type. On-site aerial photos, Sina Weibo check-in data, tourist memory maps, and photos from tourism websites were used to classify tourists’ spatial cognition through content analysis, theme classification, and GIS spatial analysis. This research finds that tourists have formed three cognitive levels in the travel process, from “initial spatial consciousness” to “place memory” then to “imagery perception”. Meanwhile, space is the most important object of tourists’ cognition, and it is also the carrier of other intangible cultures. In terms of spatial cognition and ancient town tourism, this research finds the tourists’ spatial cognition of Fengjing Ancient Town is related to the main river and main tourist routes that represent the image characteristics of the ancient town. This research shows that clear boundaries of tourism space, richer folk activities, and more sequential tourism routes could help tourists form a more systematic spatial cognition. Based on the findings, this research also establishes an analysis and application framework of tourists’ multilevel spatial cognition to provide optimization suggestions for development of tourism.
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    How Virtual Reality Renderings Impact Scale and Distance Perception Compared to Traditional Representation
    Ge, Mengting; Huang, Yang; Kim, Mintai (Wichmann Verlag, 2023-05)
    Spatial scale and distance are essential attributes of physical space in landscape design. Individuals’ perceptions of spatial scale and distance reflect how well they understand a space, and decides how they design the space. This research studies how scale and distance perception in landscape design projects using Virtual Reality (VR) renderings can differ from traditional design representations. This study examines perception of space using three design representation methods: VR simple 3D model, VR realistic rendered model, and traditional representation with the illustrative plan. Fifty-four individuals with design education and practice experience participate in this research. Participants were divided into 3 groups, and every group used one design representation method to estimate the spatial scale of selected space and distance to selected objects. Participants’ perceptions are investigated through survey and statistically analysed. This research enriches VR-related studies from the perspective of spatial perception and awareness. It inspires diverse possibilities of future design representation in the design industry and education.