Space Layout Research Articles

The Identification of Cultural Landscapes That Form Spatial Patterns in Gelgel Village, Klungkung

Gelgel is a village located in Klungkung regency, Bali. The landscape has a long historical background that can be traced back to the Bali kingdom era. The Gelgel cultural landscape has been certainly experienced changes from time to time. From the landscape architecture perspective, the socio-cultural changes throughtout the time will create spatial patterns that relates with the spatial functions. The imprint a spatial pattern can be useful for present and future spatial planning and space utilization. Therefore, it is necessary to carry out research to identify the types of cultural landscapes as well as the layout and function of cultural landscape spaces in Gelgel Village. The research uses qualitative methods to direct the process of data collection techniques that are observation, in-depth interviews, and literature study. This research aims to find the spatial layout and functions based on the indentified cultural landscape in Gelgel village. The research shows that the cultural landscape in Gelgel Village consists of four major cultural elements that are social systems and organizations, livelihoods, arts, and religious systems and ceremonies. Those cultural elements found can be categorized into tangible and intangible cultural landscapes. Laying out the identified cultural landscapes spatially shows that the modern Gelgel village spatial pattern is centered. Even though the pattern is centralistic, the area division is still based on parahyangan, pawongan, and palemahan zoning system imbued from the Balinese philosophy Tri Hita Karana. Each area functions according to the Tri Hita Karana philosophy that guides the Balinese harmonious life with God, people, and the environment.

Research on constructing a safety assessment model for the “Environment-Psychology” space in urban villages based on CPTED theory

ABSTRACT This study aimed to develop an “environment-psychological” safety assessment model for urban villages. The objective was to create a comprehensive safety evaluation and identify key influencing factors. To start, establish a spatial environmental safety assessment system for urban villages, drawing on the six principles of Crime Prevention Through Environmental Design (CPTED) theory. Use Analytic Hierarchy Process and Bayesian network analysis for determining weights and scores. The research findings reveal that: 1) The safety of the spatial environment in urban villages is directly induced by factors such as “natural surveillance” and “image maintenance” while being indirectly impacted by factors like “territoriality” and “access control.” Notably, the effects of activity support and target hardening on spatial environmental safety are found to be insubstantial. 2) Z urban village in Xuzhou city has a level IV spatial environmental safety rating. Factors include line-of-sight transparency, environmental hygiene, and road layout. The proposed optimization measures include improving space layout, enhancing surveillance levels, and maintaining a favorable environment for crime prevention. This study aids decision-makers in establishing priority sequences for spatial planning during urban village renewal. The “Environment-Psychology” model enhances the explanatory power of environmental factors on psychological elements and can aid in spatial optimization strategies.

Investigation of Heat Source Layout Optimization by Using Deep Learning Surrogate Models

Abstract The heat source layout optimization (HSLO) is typically used to facilitate superior heat dissipation in thermal management. However, HSLO is characterized by numerous degrees-of-freedom and complex interrelations between components. Conventional optimization methodologies often exhibit limitations such as high computational demands and diminished efficiency, particularly for complex scenarios. This study demonstrates the application of deep learning surrogate models based on the feedforward neural network (FNN) to optimize heat source layouts. These models provide rapid and precise evaluations, with diminished computational loads and enhanced efficiency of HSLO. The proposed approach integrates coarse and fine search modules to traverse the layout space and pinpoint optimal configurations. Parametric examinations are taken to explore the impact of refinement grades and conductive ratios, which dominate the optimization problem. The pattern changes of the conductive channel have been presented. Moreover, the critical conductive ratio has been found, below which the conductive material can no longer contribute to heat dissipation. The outcomes elucidate the fundamental mechanisms of HSLO, providing valuable insights for thermal management strategies.

Regeneration of industrial heritage: a study on the feasibility of expanding into campus space

With the rapid pace of urbanization, campuses are confronted with the challenge of increasingly limited land resources. Traditional campus planning has proven inadequate in meeting the growing educational demands. In this context, exploring the feasibility of repurposing industrial heritage sites for campus space has emerged as a crucial research topic, offering valuable opportunities to expand campus facilities. This paper takes the regeneration design of industrial heritage along the Jiangsu Canal as an illustrative example and analyzes its potential value, modes of reuse, and design strategies. It further investigates how these sites can be transformed into educational spaces within a campus setting. Through practical applications in industrial heritage regeneration design, this paper explores three dimensions: adaptive integration with external spatial environments, functional replacement within internal structures, adaptive reconstruction of space layouts, and renewal of architectural forms. Ultimately, feasible strategies for regenerating and expanding industrial heritage into campus spaces are summarized herein, providing novel ideas and methodologies for future campus expansion endeavors. Concurrently, we hope to raise awareness among all sectors of society regarding the protection and reuse of industrial heritage while collectively promoting sustainable development in this field.

The Impact of Territorial Spatial Transformation on Carbon Storage: A Case Study of Suqian, East China

The carbon storage of terrestrial ecosystems plays a crucial role in mitigating climate change, and the transformation of territorial space has a significant impact on the carbon cycle of a country’s terrestrial ecosystems. Therefore, evaluating the impact of space transformation on carbon storage is essential for enhancing regional carbon storage potential and reducing carbon emissions. We use the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to analyze the dynamic changes in territorial spatial transformation and carbon storage from 2000 to 2020 in Suqian, as well as their relationship. On this basis, the optimization strategy and specific path for improving territorial space carbon storage capacity were determined. The results show the following: that (1) from 2000 to 2020, territorial spatial transformation in Suqian was dramatic, with the most significant changes occurring between 2005 and 2010. The scale of mutual transformation between agricultural production space and urban–rural construction space was the largest. (2) Carbon storage gradually decreased in Suqian City, with a total reduction of 1.23 × 106 tons over 20 years and an annual decrease of 1.46%. The carbon density of forested space was significantly higher than that of other spaces. The conversion of agricultural production space and forestland space to urban–rural construction space was the main factor driving a decrease in carbon storage. (3) Territorial spatial transformation is a spatial manifestation of the evolution of human–land relationships. Regulating the function, scale, structure and layout of territorial space as a whole and implementing differentiated management of specific space will be beneficial to optimize carbon storage in Suqian.

Graph Feature Fusion-Driven Fault Diagnosis of Complex Process Industrial System Based on Multivariate Heterogeneous Data

The stable operation of the process industrial system, which is integrated with various complex equipment, is the premise of production, which requires the condition monitoring and diagnosis of the system. Recently, the continuous development of deep learning (DL) has promoted the research of intelligent diagnosis in process industry systems, and the sensor system layout has provided sufficient data foundation for this task. However, these DL-driven approaches have had some shortcomings: (1) the output signals of heterogeneous sensing systems existing in process industry systems are often high-dimensional coupled and (2) the fault diagnosis model built from pure data lacks systematic process knowledge, resulting in inaccurate fitting. To solve these problems, a graph feature fusion-driven fault diagnosis of complex process industry systems is proposed in this paper. First, according to the system’s prior knowledge and data characteristics, the original multisource heterogeneous data are divided into two categories. On this basis, the two kinds of data are converted to physical space graphs (PSG) and process knowledge graphs (PKG), respectively, according to the physical space layout and reaction mechanism of the system. Second, the node features and system spatial features of the subgraphs are extracted by the graph convolutional neural network at the same time, and the fault representation information of the subgraph is mined. Finally, the attention mechanism is used to fuse the learned subgraph features getting the global-graph representation for fault diagnosis. Two publicly available process chemistry datasets validate the effectiveness of the proposed method.

Comparative analysis of space layouts and facade systems for office retrofit design in hot climate

ABSTRACT Worldwide, office buildings account for almost one-third of global energy consumption. Therefore, the energy retrofit design of office buildings could reduce total energy consumption. Considering the benefits of advanced facade systems, retrofit facade design is an effective strategy for energy conservation while improving daylight performance, occupant well-being, and productivity. This paper compares the daylight and energy performance of single and double-skin facade systems used in a typical office building in a hot climate with different space layouts. The main objective is to optimize the daylight and energy performance of various facade systems in combination with a wide range of design variables. Simulations were conducted in DesignBuilder software using a multi-objective optimization approach. Eleven design variables and 103 simulations were considered with the objective of enhancing daylight performance while reducing cooling and lighting loads. Based on the results, single-skin facade configurations could enhance daylight performance significantly compared to double-skin facades, while double-skin facades performed better by reducing the risk of glare and annual energy consumption. Using single and double-skin facade systems could reduce annual total energy consumption by 50% and 60% compared to the existing building.

The Influence of Immediate Common Space and Building Layout on Social Interaction in Residential Apartments: A Case Study in Sulaimani

Numerous academics have demonstrated the value of immediate communal spaces in residential projects. In contemporary apartment site planning, these places are essential but sometimes ignored and categorized as leftover negative spaces rather than intentional interaction areas, diminishing the conventional forms of interpersonal communication. However, there is no proof of this relationship's causality. This study eliminates this gap and explores whether territoriality function-based building arrangement convex layouts can moderate the link between physical design and social interactions. Since culture and social interaction are closely related, what are the effects of these spaces and their layout on social interaction in Sulaimani City and other cities with similar cultural and social contexts? This study is a comparative analysis of four selected projects. They are selected according to their different building arrangement layout. This study used two methods: a physical analysis of arrangements design and a quantitative survey questionnaire, and the samples were taken from (40%) of the total selected units. Out of the 182 questionnaires randomly distributed to the households, only 156 were retrieved. The Kruskal-Wallis test by SPSS is used to analyze data. According to the findings, there are significant differences between cases. This discovery emphasizes how crucial constructive layout is in producing a convex positive social space. In conclusion, research reveals that the built environment, through convex positive building arrangements, influences social interactions indirectly by fostering territoriality and a sense of belonging, both of which positively affect social interactions.

Effects of turbine layout spacing and angle on wake interference of floating offshore wind farms

Effects of turbine layout spacing and angle on wake interference of floating offshore wind farms

Multifunction Robot for Reducing Sensors Count in Greenhouse Monitoring

Abstract: Over the years, greenhouse systems have been utilized to regulate the ambient conditions of precious crops in an effort to increase agricultural productivity. The crucial elements of a typical greenhouse are the construction of a polyhouse, the placement of artificial lighting, the careful use of vents, watering methods, and the calculated application of insecticides and pesticides, among other things. Numerous factors are crucial for optimum plant development, including soil moisture, temperature, humidity, light intensity, greenhouse layout, and plant spacing. Various monitoring and control methods have been suggested and put into practice for automated greenhouses throughout the years. For parameter monitoring in different plots of a green house, a number of sensors are often needed in green house automation. The interface between these sensors and the monitoring device is crucial. In exchange for a fee, several wired and wireless sensor networking solutions are being tested. This paper focuses on adopting a robotic approach to reduce the sensor count in the automated greenhouse system. The need of multiple sensors is eliminated as the robot can move across the greenhouse to collect data at required locations.

Environmental Design of Psychological Counseling Room Based on Environmental Psychology Theory

The fierce competition in modern society has brought great pressure on people, resulting in increasingly serious mental health problems. Due to the relatively late development of psychological counseling services in China, the construction of psychological counseling rooms is still in its infancy, and there are few achievements in studying psychological counseling rooms from the perspective of environmental psychology. Environmental psychology is a discipline that studies the relationship between man and the environment, and it pays attention to the influence of the environment on man's psychology, behavior, and cognition. In the field of psychological counseling, the application of environmental psychology theory is of great significance to improve the effect of psychological counseling. Based on environmental psychology, this paper discusses the importance of the environmental design of a psychological consultation room. By analyzing the space layout, privacy protection, atmosphere building, science and technology integration, green elements, and barrier-free design, this paper puts forward a design scheme for a psychological consultation room that is more in line with humanistic needs. This scheme aims to create a comfortable, safe, and efficient psychological counseling environment for visitors and improve the effect of psychological counseling.

Space Layout Simulation of Assembled Nanoarchitecture Based on Improved Particle Swarm Optimization

In order to solve the problem that the traditional building space configuration model cannot meet the optimization of building space characteristics, the author proposes the optimization of building space utilization based on spatialized particle swarm optimization. First, to solve the problem of optimal allocation of space units, the PSO algorithm is modified to encode the space units by means of character coding.Secondly, the maximum standardization method is used for data processing, and the factors affecting space utilization are summarized, the objective function of optimal allocation of architectural space is given from three aspects: economic benefits, social benefits and ecological benefits; Finally, by analyzing the advantages and disadvantages of master-slave parallel model and point-to-point parallel model, a chained parallel structure is proposed. The experimental results show that: The experimental data is based on the utilization of building space in these three regions in 2015, and the vector map is divided into 30 m × A grid of 30 m in size, and all statistical data and spatial data are projected on each grid cell. The difference between the fitness values of the final convergence of the three parallel models is small, and the main difference is the convergence speed. During the run time test, set the three parallel models to run under the conditions of 8, 16, 32 and 64 nodes respectively. Because of the combination of the advantages of master-slave model and point-to-point model, the running time of chained parallel model is significantly lower than that of the other two parallel models. Conclusion: Through data simulation test, it is verified that the chained parallel model has higher fitness, convergence speed and shorter running time, and its performance is better than the other two, indicating that the optimization algorithm proposed by the author has good performance.

Study on the Spatial Arrangement of Urban Parkland under the Perspective of Equity—Taking Harbin Main City as an Example

The connotation and measurement standard of “fairness” in parkland planning is closely related to the level of urban development and residents’ needs, with solid realism and dynamics, and it is still a complex problem to control accurately in planning. Therefore, to conduct a more comprehensive study, taking the main urban area of Harbin as an example, this paper combined urban development background and practical problems at different stages and, based on POI and AOI data, divided the connotation of “equity” in park green space planning into two levels: “spatial equity” and “social equity”. Based on these two levels of fairness, the research framework of urban park green space layout is constructed. Kernel density estimation and GIS-based network analysis were used to study the spatial layout and accessibility of urban parkland. The ability to match supply and demand for parkland in the study area as a whole was analyzed using a gridded two-step moving search method, as well as the degree of equity in the enjoyment of urban parkland by vulnerable groups including the elderly and children using the Lorenz curve with the Gini coefficient, the share index, and the entropy of the locality. The results show that: (1) the parkland is concentrated in the seven main urban areas of the two–two junctions, and the cohesion distribution trend is outside the distribution. (2) Motorized vehicles have the best 15-min accessibility for travel, but it still does not cover all the parkland. (3) Supply and demand within the region are unsatisfactory, with the area with the strongest supply and demand capacity for parkland accounting for only 3.19% of the total area. (4) The Gini coefficient of parkland enjoyed by the residents of Harbin city center is 0.407, with a massive gap in the overall distribution. In addition, the share index of vulnerable groups of the elderly and children all have share indices below 1, and the results of the analysis of locational entropy indicate that the level of street park green space resources enjoyed by these two groups belongs to the low socio-spatial equity pattern, which is not balanced. This study investigates the spatial layout of urban parkland from two equity levels, which can provide new ideas for the equity study of urban green space planning.

Multi-objective structure optimization and performance analysis of catalytic micro-reactor channel designed by an improved topology optimization model

Previous micro-reactor channel studies mainly focus on the limited design space or structure layout, rarely exploits design forms in which the procedural topology structure evolves freely. Therefore, a multi-objective topology optimization model are proposed for the inverse free evolution of micro-reactor channels, which can synergistically balance the effects among three objectives of reaction rate, flow loss and heat transfer to achieve optimal comprehensive performance. The topology optimization problem is formulated based on the material density-based design variable. The fluid dynamics response of design variables at each optimization iteration is updated by solving multi-physics governing equations, objective functions and variable constraints. Adjoint-based sensitivity analysis and GCMMA algorithm are used to obtain the gradient information of objective functions and update design variables, respectively. Additionally, the strict volume constraints and proposed pseudo-design-domain concept are introduced into the multi-objective function. In numerical examples, the influence of different Re conditions and different multi-objective weight-ratios on optimal designs is investigated, and their regular evolution mechanisms and the trade-off between performance optimization and structure evolution are analyzed. Then, the optimization principles for topology structure and performance parameters under the control of multi-objective functions are revealed. Finally, the comprehensive performance of micro-reactors under topology optimization method is compared with that of traditional micro-reactors to demonstrate the effectiveness of the improved method and reveal the physical mechanisms of multi-objective performance enhancement. The comparison results show that topology optimization designs can achieve 86.1% growth in reaction rate and 47.1% reduction in flow loss, and comprehensive performance coefficients have also been significantly optimized.

The impact of the visual layout of university open space on students' behavior and satisfaction level: the case of Iran University of Science and Technology

PurposeVisual aesthetics are a vital aspect of environmental quality. The objective of this study is to demonstrate the implementation of visibility analysis and visual quality standards on a campus to enhance productivity and effectiveness.Design/methodology/approachThis study has identified the most crucial and valuable metrics for evaluating the visual quality of open spaces through an analysis of theoretical foundations and relevant background information. To achieve research goal, a multi-method approach was employed, incorporating a survey, user satisfaction ratings and ISOVIST simulation techniques. Specifically, this study focused on assessing the quality of open spaces in three open areas located on the campus of the Iran University of Science and Technology.FindingsBased on the study’s findings, the most significant factors that students considered when evaluating the visual quality of open spaces on the Iran University of Science and Technology campus were green areas, gathering spaces and architectural elements such as furniture, color and texture. Among the three open areas examined, “Open Space One” was identified as the most satisfactory location for students. According to the study, “sensory richness,” “complexity” and “mystery” were significant indicators of students' satisfaction in this area. This area also had the widest radius and field of view feasible, which gave it a feeling of openness and spaciousness.Originality/valueThis study explores the influence of students' experiences, behavioral patterns and visual analyses on their use of open spaces on university campuses, with a focus on the Iran University of Science and Technology. By assessing students' satisfaction levels with these spaces, this research provides valuable insights that can guide the initial analysis stage before the design process and facilitate design optimization during the development stages. The results highlight the importance of considering user experiences and visual analysis when planning and creating open spaces on university campuses.HighlightsConducting an initial analysis before developing a design plan can be very helpful in understanding how users think and behave.The three criteria of visual quality that have the strongest correlation with students' satisfaction with “open space” are “mystery,” “sensory richness” and “complexity.”Two factors, namely the “radius of vision” and the “area” index, significantly influence students' satisfaction with open spaces.Outdoor designers should incorporate “green space” and “gathering spaces” into their designs since the presence of these is effective in attracting and satisfying students.The number of people using an open space has little to do with how satisfied students are with it.Half of the students use open areas between 11:00 and 14:00, so the provision of “canopy” and “shelter” in these spaces is essential.

The Impact of Sustainable Development and Spatial Rationality Planning of Urban Buildings Under the Guidance of Local Government Policies: Environmental Policy and Green Building Design Principles

In order to explore the relationship between the sustainable development of urban buildings and spatial rationality planning under the guidance of local government policies, this paper takes Beijing, Shanghai, and other regions as examples to conduct a questionnaire survey literature, analyzes environmental policies and green building principles, and puts forward several hypotheses based on relevant literature. Spatial rationality planning has an impact on the sustainable development of cities. Environmental policies and green building design principles have a constraining effect on the sustainable development of cities. Government policies can ensure the sustainability of urban building development and promote the rational distribution of space. The results show that there is an inevitable relationship between the rational spatial layout and the sustainable development of urban buildings, and environmental policy and green building design principles can promote the rational planning of space. Government policies can guide the rational layout of space and improve the sustainable development of cities. Therefore, spatial rationality planning is the main factor for the sustainable development of the city, government policy is the external factor, and environmental policy and green building design are the constraints. From the perspective of environmental policies and green building principles, local governments should guide spatial rationality planning to improve the sustainable development of buildings.

Retracted: Architectural Interior Design and Space Layout Optimization Method Based on VR and 5G Technology

Retracted: Architectural Interior Design and Space Layout Optimization Method Based on VR and 5G Technology

A comprehensive assessment method for manned confined space layouts taking into account operational posture comfort supported by artificial intelligence algorithm

Given its specialized design application, the layout design of confined spaces for human occupancy has a significant impact on the efficiency of operators, especially in the design processes aimed at aviation, aerospace, navigation, and other significant engineering fields. The influence of operational posture on layout comfort is crucial, yet existing assessment methods have limited considerations for the impact of operational posture on layout comfort. Therefore, this study proposes a layout decision support method that integrates posture recognition, simulation, and simulation-based comfort comprehensive assessment. By combining intelligent recognition technology, simulation technology, and comprehensive evaluation methods, it aims to provide a highly reliable comprehensive evaluation result for layout design and decision recommendations. To validate the effectiveness of the method, we conducted a comfort experimental evaluation involving seven individuals in the layout design of human-occupied confined spaces at Northwestern Polytechnical University. The results indicate that the proposed method offers a more objective and comprehensive means for layout design and optimization. This Improvement method not only addresses the deficiencies in existing spatial layout evaluation methods and provides a theoretical basis for architectural layout planning evaluation but also offers new perspectives and methodological support for scientific layout design and planning.

Retracted: Research on Interior Design and Space Layout Optimization Based on Multi-Intelligent Decision-Making

Retracted: Research on Interior Design and Space Layout Optimization Based on Multi-Intelligent Decision-Making

Spatial differentiation characteristics and influencing factors of the green view index in urban areas based on street view images: A case study of Futian District, Shenzhen, China

Urban green space provides a variety of benefits, and the green view index (GVI) is regarded as an effective indicator to evaluate the quality of green spaces from a human perspective. To investigate the drivers of the spatial differentiation in GVI in urban areas, the GVI was calculated based on Baidu street view images and semantic segmentation in Futian District, Shenzhen, and its spatial variation characteristics were explored. The dominant influencing factors of GVI were analyzed and screened by applying the Pearson correlation coefficient and optimal parameters-based geographical detector (OPGD). The results showed that the overall GVI was high in the study area, with an average value of approximately 28%. The scale effect of GVI was not obvious, but the spatial heterogeneity was distinct, and the hot spots and cold spots of GVI had an evident clustered distribution. The spatial variation of GVI was influenced by the vegetation cover, landscape pattern, built environment and socioeconomic factors. The normalized difference vegetation index (NDVI) was the most dominant factor affecting the spatial differentiation of GVI, followed by land cover, fractal dimension index, patch area, building density and proximity. Furthermore, the interaction of the influencing factors had a higher degree of explanation than a single factor. In highly urbanized areas, exploring the factors affecting the spatial differentiation of GVI can provide a basis for optimizing the layout and structure of green spaces, contributing to a better perception and quality of urban greening.