Urban Landscape Design Research Articles

EFFECT OF THE CULTURAL AND NATURAL ENVIRONMENT ON THE DESIGN OF GREEN URBAN SPACES FOR THE SALHIA COMPLEX

This study was aimed to identify the basic principles and design considerations (cultural and natural) that can be relied upon in the urban landscape design for vertical residential complexes in Baghdad city. The descriptive and analytical approach was followed to collect and extract the data for urban green spaces of Al-Salhia residential complex within Baghdad city that based on six tools for data collection and analysis which were: field survey, climatic factors analysis, urban fabric analysis, personal interviews, cultural factors analysis, and questionnaire. The questionnaire was distributed to a random sample of the people and specialists from Al-Salhia complex residents. After collecting the forms, the data was gathered by the "Excel Office Microsoft" software, and the " System Analysis Statistical" program was used to download the data and the differences between the means were compared with the least significant difference "LSD" test. The results revealed that the decrement in the green space’s percent of the complex and their efficien. And the shades created by the residential buildings were not taken into consideration by designing the green spaces and their impact.

Automated urban landscape design: an AI-driven model for emotion-based layout generation and appraisal

The evolution of a city is significantly shaped by the design of its urban landscape. The advancement of artificial intelligence has substantially increased convenience for individuals. This research proposes an urban landscape layout model powered by artificial intelligence that automatically generates urban landscape design based on deep learning (URDDL) with two dimensions: emotional tendency and urban landscape appraisal. The input image represents land use and surrounding road conditions, while the output image depicts the selection of the main entrance and the internal spatial function layout. The Pix2Pix model is trained to learn the internal function layout based on varying land use and road conditions. Additionally, a domain-specific dictionary is constructed using an existing semantic resource vocabulary, where positive and negative sentiment words are compared with their corresponding sentiment values, focusing on categories such as Stimulate, Sense, and Action. Experimental results indicate that the absolute average error of the URDDL model is 91.31%, with a maximum error of 96.87%. The degree of fit is highly appropriate for evaluating the emotional prediction of urban landscapes. The findings demonstrate that the URDDL model outperforms traditional design methods regarding generated results, suggesting its potential for future applications in automated landscape design.

Investigating the Satisfaction of Residents in the Historic Center of Macau and the Characteristics of the Townscape: A Decision Tree Approach to Machine Learning

The historic city of Macau is China’s 31st world heritage site, and its residents have actively contributed to preserving its heritage and will continue to reside there for the foreseeable future. Residents’ satisfaction with the current urban environment is closely related to the landscape characteristics of the towns surrounding the historic center of Macau. This study aims to analyze the relationship between landscape characteristics and residents’ satisfaction, determine the key factors affecting their satisfaction and how they are combined, and provide a scientific basis for urban planning. This study used a decision tree machine learning model to analyze 524 questionnaire survey responses that addressed five aspects of the historic town’s landscape: the architectural, Largo Square, street, mountain and sea, and commercial landscapes. The data-driven approach helped find the best decision path. The results indicate that (1) the layout of Largo Square, the commercial colors and materials, the location of the former humanities and religion center, and the commercial signage system are the primary factors influencing residents’ satisfaction. (2) Incorporating decision tree parameters with information entropy as the splitting criterion and a minimum sample split number of two (with no maximum depth) led to the best performance when investigating residents’ satisfaction with Macau’s historic town landscape characteristics. (3) A reasonable layout for Largo Square (satisfaction > 3.50), prominent and harmonious commercial colors and materials (satisfaction > 3.50), rich cultural and religious elements (satisfaction > 4.50), and an excellent commercial signage system (satisfaction > 4.00) can significantly improve residents’ satisfaction. This provides important empirical support and a reference for urban planning and landscape design in Macau and other historical and cultural cities.

Incorporation mechanism of traditional Chinese garden elements in modern urban landscape design: an exploratory analysis based on grounded theory

ABSTRACT Following China’s reform and opening up in 1978, the image of European and American city construction has shaped China’s modern urban environment, but the creation of Chinese cities’ original intrinsic cultural landscape has been neglected. This leads to a break in the inheritance of garden culture in contemporary public and open urban landscape design. This study investigates the process of integrating traditional Chinese gardens into contemporary landscapes using grounded theory. In this study, In Vivo Coding is utilized to conduct a thorough analysis of textual materials through a three-step process: Open Coding, Axial Coding, and Selective Coding saturation test. The identified data are meticulously coded and summarized, culminating in the construction of a theoretical model. The study revealed that the incorporation of traditional Chinese garden elements in contemporary urban landscape design involves several key aspects: firstly, employing the traditional layout and spatial form of the entire design site; secondly, integrating modern public landscape design scenes with traditional garden design concepts to evoke a distinct Chinese ambiance; furthermore, utilizing both modern technology and materials alongside traditional techniques to create multi-dimensional elements within the site. The present study systematically synthesizes and examines the incorporation of traditional Chinese garden elements in contemporary urban design across six dimensions. This research offers a theoretical framework for the preservation of traditional garden culture and its integration into modern landscape, as well as furnishing mechanisms and methodologies for integrating traditional culture into contemporary landscape design practice. This research provides a valuable reference for preserving and practically implementing traditional garden elements in contemporary urban landscapes.

Improved Variable Scale Optimisation Algorithm in Water Saving Landscape Design and Its Application

Abstract With the acceleration of urbanisation, the problem of water resource shortage is becoming increasingly serious. Currently, the water use situation in Chinese cities is severe and the contradiction between the supply and demand of water resources is prominent, which has become one of the main factors restricting sustainable development of cities. Traditional research on water-saving landscape design focuses mainly on the analysis of the efficiency of water resource utilisation within a single area or city. The scope of the research is limited and the research methods are individual, which cannot fully meet the current needs of sustainable urban water-saving landscape design. The improved variable scale optimisation algorithm has become an indispensable tool in modern landscape design and would play a more important role in landscape design and ecological environment protection in the future. In response to the shortcomings of traditional variable-scale optimisation algorithms in solving the optimisation problem of water-saving landscape design for ecological sustainable development, this article would use an improved variable-scale optimisation algorithm to study the water-saving landscape design for ecological sustainable development in Community X, City B, Province A. The research results indicated that there were three experts who rated the effect of the water saving landscape design of the first group of designers as good or above, accounting for 37.5 %. The number of people who rated the effectiveness of water-saving landscape design in the second group as good or higher was 8, representing 100 %. The improved variable-scale optimisation algorithm could effectively improve the application of water-saving landscape design in ecological sustainable development.

Examining the importance of neighborhood natural, and built environment factors in predicting older adults' mental well-being: An XGBoost-SHAP approach

BackgroundPrevious studies have shown that urban neighborhood environmental factors significantly influence the health outcomes of urban older adults. However, most cross-sectional studies exploring the health effects of these factors have failed to quantify the relative importance of each factor. MethodsWe use XGBoost machine learning techniques and SHAPley Additive Interpretation (SHAP) to rank the importance of urban neighborhood environmental factors in shaping the mental health of urban older adults. To address self-selection bias in housing choice, we distinguish older adults living in private housing from those living in public as residents in private housing have more freedom to choose where to live. ResultsThe results show that both natural and built environmental factors in urban neighborhoods are important predictors of mental well-being scores. Five natural environmental factors (blue space, perceived greenery quantity, NDVI, street view greenness, aesthetic quality) and three built environmental factors (physical activity facilities quality, physical activity facilities quantity, neighborhood disorder) had considerable predictive power for mental well-being scores in two groups. Among them, blue space, perceived greenery quantity and street view greenness quantity became less important after controlling for self-selection bias, possibly because of the unequal distribution of quantity and quality, and the performance of neighborhood disorder, aesthetic quality and physical activity facilities quality was more sensitive in public housing. ConclusionsThese results highlight the nuanced and differential effects of neighborhood environmental exposures on mental well-being outcomes, depending on housing preferences. The results of this study can provide support for decision makers in urban planning, landscape design and environmental management in order to improve the mental well-being status of urban older adults.

The edible green roof: sustainable urban landscape design through biophilic concept for food security in Semarang Metropolitan Region, Indonesia

The edible green roof: sustainable urban landscape design through biophilic concept for food security in Semarang Metropolitan Region, Indonesia

Application of gamification based virtual robots in urban landscape Design: Interaction and entertainment experience in the design process

The traditional design process lacks fun and participation, so new elements need to be introduced to enhance the attraction and creativity of the design. The goal of the research is to design an urban landscape design method based on gamified elements and virtual robots to increase the interactivity and entertainment experience in the design process, and to explore its impact on the design results. This paper proposes an urban landscape design framework based on gamified elements and virtual robots, which includes multiple stages in the design process, each of which introduces different gamified tasks and interactions of virtual robots. Designers can gain new design ideas and inspiration by completing tasks and interacting with virtual robots. The study evaluated the effects of design methods using gamification elements and virtual robots on the design process and design results. The results show that this approach effectively increases the engagement and enjoyment of the design process, while also promoting innovation and sustainability of the design results. The urban landscape design method based on gamification elements and virtual robots has broad application prospects, which can bring more creativity and fun to urban landscape design.

Street landscape environment design based on visual technology and entertainment robots: Computer simulation gamification landscape design

In recent years, with the development of social economy and the innovation of science and technology, the street landscape environment design based on visual technology and entertainment robot has been widely concerned. This paper aims to explore how to use computer simulation and gamification design methods to enhance the entertainment and attractiveness of street landscapes. In this paper, the basic principles of computer vision and V2X vehicle networking are deeply studied, and a series of simulation experiments and data analysis are carried out in combination with actual scenarios to verify the feasibility and effectiveness of V2X vehicle networking mode based on computer vision in urban street landscape design. V2X vehicle networking mode through real-time information exchange with road infrastructure, other vehicles, pedestrians, etc., can obtain a large number of urban streetscape design related data. Studies have shown that this design approach can increase people’s interest and engagement in street landscapes, and increase the entertainment experience and sense of interaction of urban residents.

Application of artificial intelligence sensor and visual image technology in the analysis of hydrophilic space landscape characteristics

With the continuous development of intelligent sensor technology and artificial intelligence, the application of artificial intelligence feature recognition at the level of intelligent sensor information acquisition to urban landscape analysis has become a current research trend and hot spot, but also brings us new research directions and challenges. In this paper, the multi-sensor collaborative filtering algorithm is optimized, and a method based on evidence theory is proposed to deal with the fuzzy and unclear information generated in the process of multi-sensor collaboration. Then, the analysis and recognition of multi-sensor fusion information using AI technology are analyzed in detail. This paper discusses the problems in multi-sensor information fusion and related solutions. Combined with the key nodes of 3D object AI feature recognition, multi-sensor collaborative Dempster Shafer evidence theory and 3D convolutional neural network waterfront space landscape feature recognition sub-model are constructed, and the waterfront space landscape recognition analysis model is tested and analyzed. The results show that the multi-sensor information collection Kalman filtering fusion algorithm effectively realizes the recognition of landscape feature information and the filtering of irrelevant interference information combined with an artificial intelligence algorithm to build a landscape feature recognition model. Among all kinds of landscape recognition, the recognition effect of beach inflow is the best, and the recognition accuracy, recall, and F1 value are all above 95. However, the identification effect of hydrophilic plank roads and underwater breakwater is relatively poor. The recognition accuracy of the hydrophilic platform is the lowest at 83.16 % among the eight landscape types, and the recall rate of underwater breakwater is the lowest at 79.96 % among the eight landscape types. In general, the multi-sensor Kalman filtering algorithm information fusion model designed in this paper has higher recognition accuracy and better classification performance for the collection and classification of the entire landscape dataset. The work of this paper provides a new idea and direction for the design and application of waterfront landscape identification and analysis systems based on intelligent sensors and artificial intelligence technology and lays a certain foundation for the intelligent design of urban waterfront landscapes.

Deep Learning-based Joint Optimization and Application Research of Urban Network Communication System and Landscape Design

Deep Learning-based Joint Optimization and Application Research of Urban Network Communication System and Landscape Design

Economic evaluation of alternative urban park designs that conserve irrigation water

AbstractIncreasing the area of drought‐tolerant native vegetation in urban parks is a potential strategy to adapt to growing water scarcity under climate change. With a case study in Perth, Australia, we undertake benefit–cost analyses to understand the potential impacts of modifying urban park landscape designs away from conventions dominated by watered grass towards alternatives with more native vegetation. Considering the costs of establishing and maintaining alternative designs alone, we find that local governments can save money by reducing the extent of watered grass cover in parks. Incorporating nonmarket benefits into the analyses provides evidence of positive community net benefits from making changes to conventional park designs. We show that an alternative park design featuring a mix of 60% native vegetation and 40% watered grass delivers the highest net benefits for both new park development and retrofits to existing parks. These findings suggest it is time to rethink urban park design norms in Australia to better align landscaping choices with community preferences under a changing climate.

Research on the outdoor thermal comfort of children in Hangzhou and Its influence on the underlying surface reflectance.

The outdoor thermal comfort (OTC) of children is more specific than that of adults, and the complex influence of outdoor activity spaces on children's thermal comfort warrants further investigation. To investigate the outdoor thermal comfort baseline (OTCB) of children in Hangzhou and explore the thermal impact of outdoor surfaces on children, a survey was conducted in six typical outdoor activity spaces in Hangzhou, China, during spring and summer utilizing physical measurements, questionnaire surveys, and the universal thermal climate index (UTCI). This study analyzed the differences in thermal perception among children in Hangzhou in different seasons, their OTCB, and the impact of surface reflectance (Rs) on children's OTC. The results indicated the following: 1) In spring, children in Hangzhou generally felt comfortable, but their discomfort with heat noticeably increased in summer. 2) The neutral UTCIs (NUTCIs) for Hangzhou children were 11.6°C (spring) and 27.7°C (summer), and the NUTCI ranges (NUTCIRs) were 9.7-17.5°C (spring) and 25.7-30.0°C (summer); additionally, the thermal acceptability ranges (TARs) were 13.2-25.2°C (spring) and 11.8-34.8°C (summer). 3) A high Rs made children feel more uncomfortable with heat, which was primarily due to the space's total shortwave and longwave radiation, which peaked between 14:00 and 15:00. 4) Based on the research findings, corresponding bioclimatic design strategies were proposed. Recommendations include using high Rs underlays with shading, composite underlays, or the future adoption of thermochromic coatings. Keeping permeable underlays moist is essential for activating their cooling mechanisms. Fundamental safety measures are imperative. This study provides valuable data for urban planners and landscape designers to create public spaces suitable for children's outdoor activities, contributing to a harmonious and unified living environment.

Landscape design of urban culture transmission based on the regional information security of Internet of Things

In the context of the rapid development of Internet of Things technology, urban cultural communication and information security have become a new focus in the field of landscape design. This paper innovatively discusses the landscape design of urban cultural communication based on Internet of Things regional information security, aiming at building a safe and culturally rich urban landscape environment. Taking the unique regional culture of Zhangjiajie as an example, this study evaluated the cultural communication effect of landscape design under information security guarantee through in-depth case analysis and field investigation, combined with Internet of Things information security technology. The results show that the cluster head node strategy has significant advantages in resisting physical capture attacks, especially when the number of sensor nodes captured is less than 2000, the information loss rate is less than 0.1. This discovery not only improves the level of information security in the Internet of Things environment, but also provides technical support for the effective dissemination of urban culture. In addition, through the detailed analysis and evaluation of landscape, this study further reveals the important role of landscape design in regional cultural inheritance. To sum up, this study not only provides a new perspective for urban landscape design, but also provides practical guidance for the protection and dissemination of urban culture in the era of Internet of Things.

The application of IGA in urban landscape design optimization

SummaryThe foundation of urban landscape design optimization is the precise evaluation of the effectiveness. To address the issues of strong subjectivity, low efficiency, and poor accuracy in urban landscape design evaluation methods, an intelligent evaluation method combining improved genetic algorithm and error backpropagation neural network is proposed. First, based on Maslow's demand theory and questionnaire survey results, it selects indicators to construct an evaluation index system for urban landscape design. Second, in response to the performance defects of the error backpropagation neural network model, the moth flame algorithm is used to optimize it. Then, in response to the defect that the optimization effect of the moth flame algorithm is not ideal enough, a multiple strategy including improved genetic algorithm is adopted to optimize it. Finally, an urban landscape design evaluation model is constructed based on improved error backpropagation neural network. The experimental results show that the fitting coefficient of the model is 0.9523, with a minimum deviation of less than 1%. The above results indicate that the proposed model can effectively improve the accuracy and efficiency of urban landscape design evaluation, providing data support for urban landscape design optimization. The research on the intelligent development of urban landscape design is of reference significance and has to some extent promoted the development of urban landscape design.

Sonic Gathering Place: implementation of a biophilic soundscape design and its evaluation

The Sonic Gathering Place (SGP) is a prototype urban furniture installation that uses sound design to enhance the biophilic effects of plants. It uses field recordings from four different biomes in South-Eastern Australia mixed with plants that are representative of those biomes. The SGP has a circular seating structure comprising four integrated planter boxes, each with a single speaker. Nature-based field recordings play through the four-speaker array to create an immersive audio playback experience, though without masking the existing acoustic environment of the installation site. This paper focuses, as practice-led research, on the design process of the installation that encompasses four disciplinary approaches: soundscape design, biophilic design, field recording and urban furniture. Innovatively, it then reports a quantitative survey of the user’s experience of the SGP that hones understanding of human response to the design. Measured user-responses to the SGP, collected through a smartphone-based questionnaire, were overwhelmingly affirmative of the design, including a positive change in self-reported mood resulting from the visit to the SGP. These responses were observed with introduced sound levels set only marginally louder than sound levels that existed before the installation. The results signal a wider role that biophilic sound installations might play in urban landscape design.

The Specific Application and Meaning Expression of Folk Art in Urban Landscape Design Under the Optimized Interactive Genetic Algorithm

In the major cities with many high-rise buildings in contemporary China, land resources are becoming more and more scarce, and the urban ecological environment is in urgent need of recycling, and due to the blind imitation of Western culture and design mode and the neglect of China traditional regional culture, the urban landscape lacks interaction, resonance, and sense of belonging with citizens, and the phenomenon of landscape similarity emerges in various cities, focusing on the landscape space of urban complexes. There are also these problems. Urban residents urgently need a third space that can adjust their physical, mental, and spiritual needs. How to design an urban complex landscape that meets the aesthetic needs and humanistic needs of contemporary cities and has regional characteristics has become the first important task of my research. Folk art is an artistic treasure created by the working people in their production and life. Folk art is the embodiment of cultural regionality and the foundation of national culture. It awakens people’s awareness of the importance of local culture, awakens people’s sense of belonging, and is closer to the local public life. Today, the living soil and social and humanistic environment of folk art are in the process of urbanization in China, and there is a trend of gradual disappearance of lifestyle changes. How to make the contemporary urban complex landscape an organic soil for the survival, expression, application, and development of folk art is an important task in contemporary urban landscape design. Based on optimization, related concepts such as symbols, folk art symbols, urban complexes, urban complex landscape design, etc. have been sorted out. The relevant experimental results show that the construction land accuracy of the logistic regression model based on genetic algorithm has increased from 78.0% to 85.3%. kappa increased from 74.5% to 81.2%. Research shows that the logistic regression parameter optimization method based on genetic algorithm has better simulation effect than the conventional logistic regression method and is more suitable for the situation of unbalanced data distribution and many data features in the simulation of large-scale urban land dynamic changes.

Urban Landscape Design Strategies Based on Cultural Heritage Protection

The article's focus is on the urban landscape design strategy based on cultural heritage protection. It introduces the importance of cultural heritage protection and discusses its significance and the relationship between urban landscape design. It also examines relevant cases of urban landscape design based on cultural heritage protection in China and abroad. Finally, it puts forward a strategy for strengthening historical protection. The article also promotes social participation and highlights the innovation of the three urban landscape design strategies. It combines this with the application of the Wuhu ancient city urban landscape example in the hope that it will provide a reference and reference for the cultural heritage protection of the city landscape.

Intelligent Urban Landscape Design Based on Deep Learning

Intelligent Urban Landscape Design Based on Deep Learning

Urban virtual environment landscape design and system based on PSO-BP neural network

In the last few years, with the fast growing of neural network field such as those for virtual reception and enhanced nature, the practice and theory of conventional landscape are impacted and challenged by virtual landscape based on these sorts of neural network technologies. On the one hand, the virtual landscape changes the carrier of landscape design from material real world to the networked virtual world, which breaks the traditional way of generating landscape and the way of expression of results. On the other hand, the virtualized and networked morphological characteristics of the virtual landscape itself and its capacity that can offer users a sense of immertion, interplay and enjoyment of the experience provide a way of extending and deepening the realm of scenery. It is also a new type of landscape that conforms to the trend of the times created in the background of the fast evolution of scientific and technical development. Virtual landscape brings new construction thinking and practical means for the application of digital city, the construction of urban context, and the development and utilization of relics. It provides an important research source for thinking about the relationship between current humanities and science, material and virtual, history and contemporary. After the research and experiment on the urban environment landscape design of PSO-BP neural network, the experimental data showed that before using the neural network method to improve Yanta East Garden, 57% of the crowd were satisfied with the overall impression of Yanta East Garden, and 17% were dissatisfied. After the improvement, 67% were satisfied with the landscape of Yanta East Garden, only 5% were dissatisfied, and the landscape satisfaction increased by 10%. The survey group believed that the landscape color of Yanta East Garden was full of historical flavor, especially the small sculptures convey the unique Qin Opera culture. The above data show that the method based on neural network is very suitable for the improvement and development of urban landscape design.