Urban Greenery Research Articles

Visual Quality Assessment of Historical Street Scenes: A Case Study of the First “Real” Street Established in Baghdad

Historical street scenes materialize essential cultural and artistic values for the cities in which they are located and their citizens. However, the visual quality of historical scenes is susceptible to a number of causes that could result in their deterioration. These causes can be environmental or man-made, with either generating elements that may influence the perceived visual quality of historical scenes. Therefore, this research is to assess the visual quality of historical street scenes and identify the elements that can potentially impact them. The study adopted a photo survey approach employing a Likert Scale as the main method to assess visual quality. In addition, a heatmap analysis technique was utilized to identify the elements that impact the visual quality of historical street scenes. The results indicate respondents’ high levels of dissatisfaction with the visual quality of Baghdad’s historical street scenes. The results also showed that modern facade materials, security concrete walls, and degraded buildings’ facades are elements that had a negative impact to the overall scenic quality. On the other hand, historical religious buildings, urban greenery, and unique historical buildings are elements that have a positive impact on the visual quality of historical street scenes. This research represents an approach for evaluating the visual impact and visual quality of historical street scenes, providing a quantitative tool for future initiatives focusing on the visual quality of historical legacy scenes. This research is a starting point for both researchers in urban conservation and architectural history, and municipal offices of improving the visual quality of historic streets scenes.

Identifying Green Gentrification in Chongqing Central Park Based on Price Feature Model

As part of urban planning, urban greening plays a significant role in mediating urban development and improving quality of life for residents. However, studies have indicated that urban greening efforts may result in green gentrification, in which the creation of urban green spaces improve the quality of life of residents on the one hand, and increases the house prices in the surrounding area, thereby preventing low-income residents enjoying the ecological environment benefits. Even though, there are only a few studies that examine the connection between green gentrification and urban greenery in China. Moreover, there is a need for further investigation into the manifestations and characteristics of green gentrification and whether it always results in displacement. Therefore, we chose Chongqing Central Park as the study area. The results demonstrated that the house prices have increased exponentially over the past ten years in this area, the neighborhood is largely populated by middle- and high-income individuals, and residents who were more than 30 minutes away from the park no longer enjoyed it as often. By using a price feature model, ecological, architectural, and neighborhood features were correlated with house prices, and it was found that the distance to the park correlated more significantly with house prices. As a result, Chongqing Central Park area has witnessed a green gentrification process in the last decade, which reflects the green paradox to some extent, that is, urban greening brings high quality ecological environment but also reduce the equity of human living conditions. Therefore, we suggest taking social impacts of ecological construction into account while ensuring sustainable urban development in urban greening efforts.

Incorporating networks in semantic understanding of streetscapes: Contextualising active mobility decisions

Planning for active mobility satisfies many fundamental tenets of good urban design and planning. However, planning for active mobility is a complex endeavour due to numerous local, place-based factors that influence active mobility decisions. Recent advancements in urban data research have demonstrated the effectiveness of deep learning methods in evaluating active mobility potential for urban environments. At present, the incorporation of semantic information from deep learning models and street view imagery into spatio-temporal contexts remains a challenge. In particular, knowledge extraction from deep learning models remains an open question for urban planning and decision-making. Towards this issue, we propose a functional deep learning and network science workflow that employs open data from OpenStreetMap and Mapillary to assess factors affecting active mobility decisions and route planning. We demonstrate the generalisability of our analytical workflow through two case studies focusing on urban greenery in Nerima city (Japan) and urban visual complexity in Pasir Ris town (Singapore). Our results reveal clear patterns of heterogeneity in urban streetscapes and identify unevenness in street infrastructure provision based on destination types. Using this information, we propose specific areas for design intervention to improve active mobility planning. Our workflow is applicable for a diverse range of use cases making it relevant to a wide range of stakeholders, not limited to, urban researchers, policy makers and urban planners.

Importance of Urban Green Areas in the Context of Current and Future Global Changes: Lessons Learned from a Case Study in Bratislava (Slovakia)

As one of the largest cities in Slovakia, Bratislava needs to proceed with the greenery concept with regard to mechanisms for adapting to climate change. The potential of developing new areas can be seen in public, semi-public, and private spaces. In this sense, the aim of our research was to map the current situation of urban greenery in the city, identify the capacity for enhancement of small urban green spaces, and present the option of participating in the development of green areas in the selected places to the city’s inhabitants. The condition of urban greenery was analysed and described, with a special emphasis on the untapped potential of green areas on housing estates. Using examples from abroad, cases of successful revitalisation of urban greenery areas on housing estates are given, and the main problems faced by the selected region were assessed. Apart from the above-mentioned main aim, there was the intention to discover new trends for using greenery in the urban environment, to compare past and present conditions, or to present new options and possibilities for designing greenery. A proposal to set up a new system of private and semi-public green areas is viewed as a possible promising result. As another required step, we analysed the effect that different types of information media have on the strengthening of relationship between the city and its inhabitants, i.e., to improve the communication dialogue by establishing an online platform on greenery issues and to increase attention as well as inhabitants’ participation in public life.

Developing a 3D City Digital Twin: Enhancing Walkability through a Green Pedestrian Network (GPN) in the City of Imola, Italy

Predominantly, dense historical cities face insufficient pedestrian-level greenery in the urban spaces. The lack of greenery impacts the human thermal comfort on the walking paths, which contributes to a considerable reduction in pedestrian flow rate. This study aims at developing a model to assess pedestrian-level thermal comfort in city environments and then evaluate the feasibility of creating a green pedestrian network (GPN). Imola, as a historical city in Italy with a compact urban pattern, is selected as the case study of this paper. To accomplish this, a three-dimensional digital twin at city scale is developed for the recognition of real-time shade patterns and for designing a GPN in this city. The 3D model of the proposed digital twin is developed in the Rhinoceros platform, and the physiological equivalence temperature (PET) is simulated through EnergyPlus, Honeybee, and Ladybug components in grasshopper. This study provides the city with a digital twin that is capable of examining pedestrian-level thermal comfort for designing a GPN based on real-time PET in the compact urban morphology of Imola. The PET model indicates that during the hottest hour of the 25th of June, pedestrians in open spaces can experience 3 °C more than on narrow shaded streets. The results are validated based on in situ datasets that prove the reliability of the developed digital twin for the GPN. It provides urban planners and policy makers with a precise and useful methodology for simulating the effects of pedestrian-level urban greenery on human thermal comfort and also guarantees the functionality of policies in different urban settings.

A Combined Methods of Senile Trees Inventory in Sustainable Urban Greenery Management on the Example of the City of Sandomierz (Poland)

The sustainable management of urban greenery consists, among others, of the inventory, valuation, and protection of trees of monumental size. This article presents the results of the inspection of 13 large trees growing in the city of Sandomierz, located in south-eastern Poland. The examined specimens belong to five species: Norway maple (Acer platanoides L.), common ash (Fraxinus excelsior L.), white poplar (Populus alba L.), English oak (Quercus robur L.), and small-leaved lime (Tilia cordata Mill.). The health condition of the trees was assessed using acoustic and electrical tomography, as well as chlorophyll fluorescence tests. Diagnostics employing sound waves and electrical resistivity were crucial in assessing tree health. The data based on chlorophyll fluorescence confirmed the results obtained during tomographic examinations. It was an innovative combination of three non-invasive methods of examining the health condition of trees and their valuation. Economic valuation allows us to reduce to common denominator issues that are often difficult to decide due to different perspectives—expressing the economic value of trees. Calculating the value of trees allowed us to show the city’s inhabitants the value of trees that are of monumental size. Thanks to the cooperation of scientists with the city authorities, an economic plan for trees of monumental size was created, distinguished by an individualized and holistic approach to each specimen covered by the study. The database prepared has a chance to become an effective management instrument used by environmental protection authorities and a source of knowledge and education for the city’s inhabitants.

The effects of shading devices on outdoor thermal and visual comfort in Southern China during summer

Shading effectively alleviates heat stress caused by heatwaves and urban heat islands. Artificial shading is a viable alternative to urban greenery when tree planting is impracticable. While tree shade has been studied extensively, the effects of shading devices on the microclimate and illuminance are not well understood. To examine the influence of shading devices on outdoor thermal and visual comfort, we conducted on-site meteorological observations and surveys (n = 1272) on a university campus in Guangzhou during the summer of 2018. In ENVI-met simulations, various shading device properties were compared, including materials, transparency, and size. Simulation results indicate that shading devices reduced mean radiant temperature, Physiological Equivalent Temperature (PET), and Universal Thermal Climate Index (UTCI) up to 24.8 °C, 12.0 °C and 5.9 °C, respectively. However, there was a negligible reduction in air temperature and wind speed. Opaque materials and glass covers with 10% transparency decreased illuminance by 73%–83% and 65%–75%, respectively. Moreover, the size threshold for optimal cooling effects differs in locations with different sky view factors and tree shade. Our survey reveals that reducing the illuminance by > 90,000 lux and sun sensation vote from +2.5 to +1 can lower the thermal sensation vote by up to one vote. As shading devices decrease illuminance and thermal indices, the cross-modal effect between visual and thermal comfort would need to be considered in optimizing the design of shading devices. Further observation and numerical simulation of outdoor microclimate and illuminance are necessary to validate this cross-modal effect in other climatic regions.

Fate of microplastics during composting and their leachability

The occurrence of chemical compounds specific to individual plastic polymers allowed the determination of components in compost feedstock (urban greenery and bio bins of households). The total concentration of plastic polymers is 431 mg/kg. The main identified polymers are polystyrene, polyethylene terephthalate, polyethylene, polycarbonate, and polypropylene. Additives used to modify the properties of plastics are present in the concentration of 195 mg/kg. Twelve compounds used as additives in the production of plastics in both the feedstock and the compost were identified. A statistically significant relationship was found between the decrease of concentration of organic matter and concentrations of compounds that identify plastic polymers (polyethylene terephthalate and polystyrene). The decrease of concentrations of compounds specific to polymers after three months was observed in the range between 33 and 84%, while the decrease for additives was 68%. After 18 months, the loss was higher than 82% except for polypropylene (only 70%). Compound leachability after three months of composting decreased to one-quarter for most polymers (except polypropylene and polyethylene), and to one-third for additives.

Landscape engineering and aesthetics approaches to design a community garden: Social activity zones appraisal in the envisaged Drwinka River Park (Kraków, Poland)

As cities are developed in line with sustainable development, space needs to be efficiently utilized. A balance must be achieved between investment sites and naturally active areas in order to shape the urban environment. In the public city, green spaces represent an indisputable element and are essential. An urban greenery plan is an essential component of a city's economic development. In recent years, spatial planning has been gaining government attention, particularly green development. Responsible management of these spaces is essential. However, urban foliage management appears to be a challenge for local authorities. In a spatial development plan, new greenery may be created, destroyed green spaces should be renovated, or brownfields must be repurposed. The purpose of this paper is to present a coherent concept for reclaiming the estate in Krakow, focusing especially on landscaping the Riverside Park. The design will create a friendly space that can be used by residents for rest and meetings, as well as enhance aesthetics and quality of life. Parks and community gardens are listed as strategic components for equipping the city with public spaces for meetings and recreation as well as other activities.

Urban dust pollution tolerance indices of selected plant species for development of urban greenery in Delhi.

The rise in urbanization has led to an increase in dust pollution which is hazardous to the health of living beings. The role of roadside plant species in intercepting particulate matter and improving air quality is well reported. Hence, this study was carried out to determine the ability of various plant species to intercept atmospheric dust and withstand the abiotic stress triggered by dust deposition. In the present investigation, three sites (viz., control, commercial, and industrial) differing in anthropogenic activities and vegetation were selected. Sixteen plant species entailing both trees and shrubs that are commonly occurring at all three sites were selected to estimate their dust interception capacity (DIC). The impact of dust pollution on foliage biochemistry and their tolerance in winter and summer seasons were analyzed. Based on biochemical, biological, and socio-economic parameters, air pollution tolerance index (APTI) and anticipated performance index (API) were evaluated. Both dust load and DIC were found to be two times higher in winter than in the summer season. Terminalia arjuna, Ficus benghalensis, and Plumeria alba were the best dust accumulators, while Prosopis juliflora accumulated least. The highest DIC was observed at the industrial site, for Terminalia arjuna (0.025mg/cm2/d) in winter and Plumeria alba (0.023mg/cm2/d) in the summer season. Photosynthetic pigments showed a negative correlation with dust load, while pH, ascorbic acid, electrolytic leakage (E.L.), and proline content showed a positive correlation. In the present study, APTI and API values were highest for Ficus religiosa, Ficus benghalensis, Alstonia scholaris, Dalbergia sissoo, and Terminalia arjuna. Such plant species with wide canopy, large and rough leaf surface area with perforated veins are found to be more suitable and, hence, recommended for the development of greenery to improve air quality in urban areas like Delhi.

Unmanned aerial systems for modelling air pollution removal by urban greenery

Urban greenery plays an important role in reducing air pollution, being one of the often-used, nature-based measures in sustainable and climate-resilient urban development. However, when modelling its effect on air pollution removal by dry deposition, coarse and time-limited data on vegetation properties are often included, disregarding the high spatial and temporal heterogeneity in urban forest canopies. Here, we present a detailed, physics-based approach for modelling particulate matter (PM10) and tropospheric ozone (O3) removal by urban greenery on a small scale that eliminates these constraints. Our procedure combines a dense network of low-cost optical and electrochemical air pollution sensors, and a remote sensing method for greenery structure monitoring derived from Unmanned aerial systems (UAS) imagery processed by the Structure from Motion (SfM) algorithm. This approach enabled the quantification of species- and individual-specific air pollution removal rates by woody plants throughout the growing season, exploring the high spatial and temporal variability of modelled removal rates within an urban forest. The total PM10 and O3 removal rates ranged from 7.6 g m-2 (PM10) and 12.6 g m-2 (O3) for mature trees of Acer pseudoplatanus to 0.1 g m-2 and 0.1 g m-2 for newly planted tree saplings of Salix daphnoides. The present study demonstrates that UAS-SfM can detect differences in structures among and within canopies and by involving these characteristics, they can shift the modelling of air pollution removal towards a level of individual woody plants and beyond, enabling more realistic and accurate quantification of air pollution removal. Moreover, this approach can be similarly applied when modelling other ecosystem services provided by urban greenery.

Linking landscape spatial heterogeneity to urban heat island and outdoor human thermal comfort in Tokyo: Application of the outdoor thermal comfort index

Rapid urbanization and high-density development are major drivers of global warming. The associations of spatial landscape patterns with urban thermal environments have been extensively investigated. Meanwhile, quantifying the cooling effects of landscape patterns on street-level outdoor thermal comfort has been less attempted. This study examined the relationship between the spatial heterogeneity of landscape patterns and urban residents’ outdoor thermal comfort in Tokyo, Japan. The cooling effects of the greenery pattern – configurations and compositions – on thermal comfort were explored while considering the interaction effects of greenery patterns with water bodies and urban densities. Our study findings indicated that spatial landscape patterns have a statistically significant impact on outdoor thermal comfort, showing 69% of explanatory power (Adj-r2) in the spatial error model. The cooling effects of greenery were improved when their spatial patterns were in a more aggregated, less fragmented, and less complex shape. Furthermore, outdoor thermal stress was relatively lower when there was simple shape greenery in low-density areas or complex shapes but in high-density areas while indicating synergies between them. Our findings would provide microclimatic urban planning and design implications of how to spatially configure urban greenery to improve outdoor thermal comfort.

GENERATIVE DESIGN FOR WALKABLE CITIES: A CASE STUDY OF SOFIA

Abstract. The walkable city concept is an extent to which the built environment motivates people to walk by providing comforting pedestrian ways, linking people to various amenities in a fair amount of time and effort. Currently, the implementation of walkability is limited to something "nice to know about" rather than a "must-have" criterion for sustainable planning. To address this issue, an integration between walkability and mainstream design approach, such as generative design, can be a solution. In addition, walkability in the generative design domain only considers one primary indicator: "distance to amenities". While in fact, other dimensions could represent walkability, namely the comfort dimension. In this study, we tried to combine distance to amenities and urban greeneries to represent the comfort dimension. Since walkability is highly personal, we also incorporated the human perspective. Furthermore, develop a workflow to integrate walkability and parametric modelling based on comfort dimensions to create walkability-optimal-urban-plans.

Ecosystem services and well-being dimensions related to urban green spaces – A systematic review

• ES and UGS well-being dimensions are revised. • ES supplied by UGS are mainly studied in Europe, China, the USA and South Africa. • Cultural ES are the main services studied in UGS. • Health and good social relations are the most studied well-being dimensions. • Surveys are the preferable method to assess UGS ES. Models validation is limited. Urban green spaces (UGS) supply several ecosystem services (ES) key to human wellbeing. In this article, we conducted a systematic review focused on identifying UGS's ES and wellbeing dimensions. From the 3626 articles screened, 218 were used in this review. Most studies were conducted in Europe, China, the United States of America (USA) and South Africa. Among all UGS, parks and gardens were the most investigated, with less of a focus on urban trees, forests, coastal mangroves, golf courses, roadside vegetation, and brownfields/unmanaged urban greenery. Cultural ES were the most studied, although it is well known that UGS also supply many provisioning and regulating ES. Health (mental and physical) and good social relations were the most investigated wellbeing dimensions, and food security received the least attention. Regarding the methodologies used to investigate the UGS contribution to human wellbeing, surveys, indicators, and surveys combined with statistical methods were the most common. Only a few works focusing on spatial modelling were validated, which is critical to ensure the reliability of the spatial models applied to UGS ES studies. Overall, this work identified the research gaps and future perspectives in ES and wellbeing dimensions provided by UGS, key to improving further research.

Estimation method of urban green space living vegetation volume based on backpack light detection and ranging

Living vegetation volume (LVV) can objectively and accurately reflect the urban greenery quality, and provide a reliable data foundation for the quantitative study aiming to reveal the mechanisms underlying urban greenery ecological functions. According to the characteristics of dispersion and small scale of unit affiliated green space, we proposed a LVV estimation scheme for such urban green space, which included data acquisition, processing, entity segmentation, classification, single tree canopy extraction, and LVV calculation. First, point cloud data was obtained with a backpack LiDAR system, and the ground point clouds were eliminated by a multi-scale algorithm. Second, the Density Based Spatial Clustering of Application with Noise (DBSCAN) algorithm was used to cluster the non-ground point clouds, and density feature-based competitive algorithm was used to re-segmented for the overlapping area to generate independent objects. Third, the PointNet++ network model was used to extracted plant point clouds. Then, the canopy point clouds were extracted using the similarity of principal direction between neighboring points and distribution density of branch and leaf points. Finally, the LVV of individual tree canopy was calculated by the convex hull method, and then the LVV of the accessory greenland was summed up. Taking a science and technology park as an example, its total LVV was 21034.95 m3, among which the number of mango trees was the highest, and the total LVV was the largest (4868.64 m3, accounting for 23.2%). The tree species with the largest LVV per plant was Terminalia neotaliala tree, with an average of 120.37 m3 per plant. The relative error between LVV of trees estimated by this scheme compared with traditional method and convex hull method was 10.7%-33.7% and 2.7%-16.0%, with average value of 20.9% and 8.7%, respectively. This scheme could make full use of the characteristics of the three-dimensional point cloud and use a convex polyhedron to simulate the original form of the tree crown, which was more consistent with the actual situation of trees. The measurement and estimation solution of the LVV provided new ideas for rapid and accurate estimation of urban LVV.

Selection of Garden Roses to Improve the Ecosystem Services They Provide

With pronounced morphological and phenological diversity, garden roses have always been part of urban plantings. The significance of roses in ornamental and utilitarian (edible) horticulture can significantly be amended with novel ecosystem services, by shifting their breeding targets towards more than aesthetic and nutritional value. Thus the aim of this paper was to investigate the possibilities of newly bred (within the past decade) garden roses from the ‘Mella’ series as a possible ornamental, disease tolerant and bee attracting cultivars to be recommended in urban ecosystems, adding values to their current ecosystem services. Research goals were to determine the morphological characteristics; honey and wild bees’ abundance and its correlation with rose morphological and floral characteristics; disease resistance/tolerance to main rose fungal diseases; and suitability of ‘Mella’ roses in urban greenery providing multiple ecosystem services. Plant material included seven garden rose cultivars from the ‘Mella’ series. Analyses included complete morphological—qualitative and quantitative characterization of plant and flower traits, fragrance panel scoring and volatile components analyses, counts of honey bees visiting flowers and counts of different wild bee species as potential pollinators. Based on the obtained results significant variability in vegetative and generative plant characteristics was noted in investigated ‘Mella’ roses. With their ‘naturalistic’ overall appearance, comparable with wild roses, ‘Mella’ cultivars differed in plant height and habitus, number and type of flowers, leaf coloration and glossiness, but ‘Barbie Mella’ and ‘Ruby Mella’ positioned as the most decorative ones. ‘Barbie Mella’ was highly scored for overall fragrance, with the most divergent panel records for fragrance components and mixed volatile compounds, characterized by the balanced ratio (almost 1:1:1) between aromatic alcohol + terpenoids, straight-chain alkanes and long-chain alkanes. In relation to the honey bee’s attraction, a combination of plant height, fragrance, flower type (single, simple), flower diameter and accessibility seems to be crucial, rather than any characteristic solely. As an outstanding bee-attractor ‘Barbie Mella’ should be promoted as an ornamental disease-tolerant rose cultivar. Due to their aesthetic values, disease tolerance and bees visitations, ‘Mella’ roses ‘Barbie’, ‘Ruby’, ‘Ducat’ and ‘Exotic’ should be planted as a part of urban semi-natural gardens/landscapes, concomitantly contributing to the multiple ecosystem services—provisioning, regulating, cultural and supporting. Until their worldwide availability, other ‘Mella’-like wild and cultivated roses should be investigated and promoted likewise.

A Point-Cloud Solar Radiation Tool

Current software solutions for solar-radiation modeling in 3D focus on the urban environment. Most of the published tools do not implement methods to consider complex objects, such as urban greenery in their models or they expect a rather complex 3D mesh to represent such objects. Their use in an environment that is difficult to represent geometrically, such as vegetation-covered areas, is rather limited. In this paper, we present a newly developed solar-radiation tool focused on solar-radiation modeling in areas with complex objects, such as vegetation. The tool uses voxel representations of space based on point-cloud data to calculate the illumination and ESRA solar-radiation model to estimate the direct, diffuse, and global irradiation in a specified time range. We demonstrate the capabilities of this tool on a forested mountain area of Suchá valley in the Hight Tatra mountains (Slovakia) and also in the urban environment of Castle Hill in Bratislava (Slovakia) with urban greenery. We compare the tool with the r.sun module of GRASS GIS and the Area Solar Radiation tool of ArcGIS using point-cloud data generated from the digital-terrain model of Kamenistá valley in High Tatra mountains in Slovakia. The results suggest a higher detail of the model in rugged terrain and comparable results on smooth surfaces when considering its purpose as a 3D modeling tool. The performance is tested using different hardware and input data. The processing times are less than 8 min, and 8 GB of memory is used with 4 to 16 core processors and point clouds larger than 100,000 points. The tool is, therefore, easily usable on common computers.

Analyzing green view index and green view index best path using Google street view and deep learning

Abstract As an important part of urban landscape research, analyzing and studying street-level greenery can increase the understanding of a city’s greenery, contributing to better urban living environment planning and design. Planning the best path of urban greenery is a means to effectively maximize the use of urban greenery, which plays a positive role in the physical and mental health of urban residents and the path planning of visitors. In this paper, we used Google street view to obtain street view images of Osaka City. The semantic segmentation model is adopted to segment the street view images and analyze the green view index (GVI) of Osaka City. Based on the GVI, we take advantage of the adjacency matrix and Floyd–Warshall algorithm to calculate GVI best path, solving the limitations of ArcGIS software. Our analysis not only allows the calculation of specific routes for the GVI best paths but also realizes the visualization and integration of neighborhood urban greenery. By summarizing all the data, we can conduct an intuitive feeling and objective analysis of the street-level greenery in the research area. Based on this, such as urban residents and visitors can maximize the available natural resources for a better life. The dataset and code are available at https://github.com/Jackieam/GVI-Best-Path.

Investigation and analysis of road greening in Jingzhou city

Jingzhou city is well-knowing for its ancient historical, massive cultural, and river system ramified. To understand the actual status of road greenery in Old Town, three typical roads, Quyuan South Road, Wude Road, and Jiang Jin Road, were sifted and divided into nine plots (Quyuan South Road, Wude Road a, Wude Road b, Wude Road c, Wude Road d, Jiang Jin Xi Road). Indexes of species abundance, Shannon-Weiner, Simpson, and Pielou were employed to dissect the road belt community. Results showed that the community diversity was higher in plant structure complicated than only shrubs arrangement. The ideal road plots were Jiangjin West Road, sections a and b of Wude Road based on the evaluation results of the above indexes and actual effects of sunshade, seasonal changes, and ecological function. The shortcomings of the investigational road uncovered the existing problems. Too much attention has been paid to the ornamental effects to lower the importance of ecological function and the utilizing comfort of citizens. Therefore, the urban road greenery should combine the environmental function and aesthetic needs, and regular maintenance management should be timely and scientific.

Green-blue infrastructure in the built environment – sustainable and resource-saving designs for urban structures and open spaces

Urban grey infrastructure, as it generally consists of monofunctional, sealed, impervious, heating up and reflecting surfaces, has led to a series of serious challenges (urban heat stresses, loss of biodiversity, flood risks and natural hazards) decreasing urban resilience. Ongoing construction activities result in irreversible soil consumption and loss of its numerous and vital functions. However, a common understanding has been evolving that the establishment of green-blue infrastructure (GBI) supports compensating for functional losses, as they are integrative and provide pervious, absorbent, shading and non-heating up surfaces. We present a concept to holistically interconnect stand-alone approaches to improve and support constructional design for transforming green open spaces addressing specifically urban landscape construction and building greenery. The underlying state of knowledge emerges from currently four ongoing projects on advancing GBI for re-establishing ecosystem functions and diverse habitats: 1. The Circular Soil Concept targets the reuse of excavated soil materials from construction sites to produce engineered soils. These are applied as functional vegetation substrates for landscape construction and installing building greenery, saving scarce soil resources while generating large scale and vegetated areas with climate change adaptation performance. 2. The StreetTREE-Planter is designed to install urban trees in a given street infrastructure. The advanced planter systems will support extended tree lifespans, microclimatic benefits, flood protection and urban resilience. The design is based on targeted rainwater harvesting for irrigation management in alignment with water requirements and the desired microclimatic performance. 3. The GLASGrün projects generates plant-based shading designs for glass facades. As plants and their leaves do not heat up from solar radiation, vertical greenery is promising, however challenging, for green shading of glazed surfaces and for indoor and outdoor microclimatic regulation. 4. The INReS rainwater management tool was developed as a prototype web application to integrate sustainable, plant-based rainwater management systems into BIM-(Building Information Modeling)-based construction projects. It provides up-to-date design for the wider public and specific planning guidelines. In synthesis with the present and upcoming findings of these projects, a parameter-based and BIM-compatible GBI-design management tool is foreseen to better and sustainably integrate GBI systems into construction projects, and to consider the resource question.