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Several studies have recognised the importance of urban green spaces (UGSs) in modern cities. However, the distribution and accessibility of green spaces represent a challenge for the sustainable development of territories in terms of fair distribution, reducing inequalities, and mitigating the effects of climate change, such as urban heat islands and runoff. This research identifies every UGS capable of contributing to people's physical and mental wellbeing in the Milan metropolitan area (MMA), one of the most densely populated areas in Europe. The method allows for the various UGSs to be identified and classified using a comparative approach that considers both formal and informal green spaces through a qualitative territorial analysis and the support of open access databases (satellite and thematic maps). Based on this classification, this contribution establishes an 'accessibility map' of the metropolitan area that determines the actual pedestrian accessibility of a UGS within 300 m. The results show that only 37% of the residential surface of the metropolitan area offers access to a UGS within a five-minute walk. This research aims to identify the most fragile segment of the MMA, which is pivotal for the tree-planting activities sponsored by the Forestami project. [ABSTRACT FROM AUTHOR]

Urban biodiversity is essential for enhancing liveability for both humans and wildlife by providing a range of ecosystem services. Therefore, it is crucial to raise awareness among citizens, particularly schoolchildren, about the significance of biodiversity in urban environments. To this end, an Open-Air Laboratory was established in an urban park of an Italian Mediterranean city (Livorno), where natural vegetation flourishes. This initiative engaged schoolchildren in experimental campaigns to collect ecophysiological data on local wild woody species. Specifically, the students were tasked with identifying various wild woody species and, under the guidance of researchers, recording specific leaf ecophysiological traits, such as leaf mass per area, leaf pigments, and chlorophyll fluorescence. The results, which highlighted seasonal variations in leaf ecophysiological traits and interspecific differences, were analysed in relation to the environmental conditions documented by the schoolchildren. This analysis revealed distinct plant strategies for coping with winter and summer stressful periods. The methodology employed in this project, which involved schoolchildren in research activities, not only fostered environmental awareness among young participants but also serves as a pilot model for public engagement in scientific research.

Several studies have recognised the importance of urban green spaces (UGSs) in modern cities. However, the distribution and accessibility of green spaces represent a challenge for the sustainable development of territories in terms of fair distribution, reducing inequalities, and mitigating the effects of climate change, such as urban heat islands and runoff. This research identifies every UGS capable of contributing to people’s physical and mental wellbeing in the Milan metropolitan area (MMA), one of the most densely populated areas in Europe. The method allows for the various UGSs to be identified and classified using a comparative approach that considers both formal and informal green spaces through a qualitative territorial analysis and the support of open access databases (satellite and thematic maps). Based on this classification, this contribution establishes an ‘accessibility map’ of the metropolitan area that determines the actual pedestrian accessibility of a UGS within 300 m. The results show that only 37% of the residential surface of the metropolitan area offers access to a UGS within a five-minute walk. This research aims to identify the most fragile segment of the MMA, which is pivotal for the tree-planting activities sponsored by the Forestami project.

Informal Green Spaces (IGS) are unplanned and often overlooked vital green resources in urban environments. Previous research suggests that IGS can affect residents’ emotions and generate complaints. However, further research is needed to determine the specific impact of detailed indicators within the IGS environment on changes in residents’ complaint emotions. This study employs machine learning models such as Long Short Term Memory networks-Convolutional Neural Networks (LSTM-CNN), Object Semantic Attention Network (OSANet), High-Resolution Net (Hrnet), and EXtreme Gradient Boosting (XGBoost), combined with hotspot analysis and SHapley Additive exPlanation (SHAP) methods. We revealed the potential impact of urban village IGS landscapes on residents’ complaint sentiments. The results indicate: (1) Complaint sentiment text analysis shows that negative emotions in residents’ complaints account for 85.4%, with hotspot areas spreading outward from the city center. The spatial autocorrelation of IGS indicators shows a strong clustering effect, with significant changes at the boundaries of hotspot areas near the city center and in the northeast. (2) Greenness (1.19), Paving degree (0.93), Openness (0.86), and Color complexity (0.84) emerge as the four most impactful indicators on the complaint sentiments of urban village residents. Enclosure, Perception sentiment, Color complexity, and Paving degree significantly contribute to the model. (3) Greenness has the most substantial impact on emotional changes when interacting with other landscape elements, a higher Color complexity value may lead to negative effects, while Perception sentiment, Enclosure, and Greenness exhibit neutralizing effects on emotions when combined with other indicators. This study proposes a framework for IGS data acquisition and assessment, integrating the strengths of different machine learning methods. By doing so, it provides a data foundation for the optimization and renewal of IGS in urban villages, fully exploring the potential of urban village IGS in urban renewal.

The large-scale identification of urban vacant land (UVL) and informal green spaces (IGSs) using conventional identification methods is challenged by the high cost of time and resources as well as inconsistent outcomes. Moreover, the spatial–temporal changes of UVL and IGSs have received limited academic attention. We introduce a methodological framework for the large-scale automatic identification of UVL and IGSs in Hangzhou, China, based on semantic segmentation. We construct and release a large-scale dataset for UVL identification, containing five different UVL categories, and one of them is IGS, with 3096 patches for training and 128 patches for evaluation. We then train five different semantic segmentation networks using the dataset and utilise Segformer to predict UVL and IGSs within the whole urban area of Hangzhou. The presented segmentation model has a hierarchically structured Transformer encoder and a multilayer perceptron decoder, which incorporates local and global information to obtain effective feature representations. Extensive experiments have been conducted to evaluate the segmentation performance of the applied Segformer. Experimental results show the good identification performance of Segformer for UVL and IGSs. Results also verify that the proposed identification framework can be effectively used to analyse the spatial–temporal changes of UVL and IGSs in Hangzhou. [ABSTRACT FROM AUTHOR]

Cities need more green spaces to adapt to climate change and facilitate community resilience. However, successfully managing green spaces is challenging. City governments consistently employ top-down management practices that limit the benefits, usage, and perception of such spaces as Nature. Further, current management practices overlook socio-cultural factors important to residents. Using the existing categories of urban green spaces (UGS) and informal green spaces (IGS), this article situates the cultural practice prendersi cura as a way to conceptualize successful, bottom-up green space management. The term prendersi cura, meaning "to take care of" in Italian, emerged through interviews in Perugia, Italy, and reflects the socio-ecological value of IGS and the disconnect between residents and city-managed UGS. This study employed mixed methods, combining 10 weeks of participant observation, 13 interviews, and GIS analysis to understand the relationship between Perugians and their green spaces. Results indicate that interviewees did not describe city-supported UGS (i.e. top-down green spaces like parks or historic gardens) as Nature, even if they were areas of dense vegetation and recognized by the City of Perugia in GIS analyses. In contrast, interviewees described IGS (i.e. community gardens, vacant lots, or potted plants) that were unrecognized in city GIS visualizations as Nature, indicating a stronger attachment to green spaces when interviewees had active roles in their management or witnessed community-based management practices. This paper demonstrates the importance of managing green spaces through a socio-ecological framework that considers user perceptions and cultural values. To allow greening initiatives to reach their full potential, it is critical to embrace local values and participation in management practices. • Value of urban parks is based upon community engagement, not park size. • Active, bottom-up management supports successful green spaces in Perugia, Italy. • Taking care of Nature provides a framework to improve the human-Nature relationship. • Mixed-methods approaches need to inform urban planning and policy development. • A comprehensive socio-ecological framework is necessary to evaluate green spaces. [ABSTRACT FROM AUTHOR]

Graphical abstract Abstract The main goal of this article is to identify and classify institutional barriers which prevent the use of urban green spaces (UGS) at three levels: availability (whether a UGS exists), accessibility (whether it is physically and psychologically accessible, e.g., not fenced off), and attractiveness (whether it is attractive enough for potential users to visit). We reviewed the impacts on UGS provision exerted by different actors (individuals, formal and informal groups, community councils, city authorities, national governmental and non-governmental organizations), along with the relevant institutional foundations of those impacts. As a result, we identified and classified the different barriers for which these actors are responsible in the case of fifteen UGS types in our case study city, Lodz (Łódź) in Poland. The main barriers at different levels concern conflicting interests, physical barriers (private green spaces), and the lack of funds, together with legal and governmental failures (public green spaces). These barriers result from the different actors' mandates or lack thereof. Our analysis has implications for the operationalization of UGS availability, accessibility and attractiveness, and, in particular, for mapping UGS and setting the relevant indicators and thresholds for UGS availability, accessibility and attractiveness. [ABSTRACT FROM AUTHOR]

Effective urban planning, and urban green space management in particular, require proper data on urban green spaces. The potential of urban green spaces to provide benefits to urban inhabitants (ecosystem services) depends on whether they are managed as a comprehensive system of urban green infrastructure, or as isolated islands falling under the responsibility of different stakeholders. Meanwhile, different urban green space datasets are based on different definitions, data sources, sampling techniques, time periods and scales, which poses important challenges to urban green infrastructure planning, management and research. Using the case study of Lodz, the third largest city in Poland, and an additional analysis of 17 other Polish cities, we compare data from five publicly available sources: 1) public statistics, 2) the national land surveying agency, 3) satellite imagery (Landsat data), 4) the Urban Atlas, 5) the Open Street Map. The results reveal large differences in the total amount of urban green spaces in the cities as depicted in different datasets. In Lodz, the narrowly interpreted public statistics data, which are aspatial, suggest that green spaces account for only 12.8% of city area, while the most comprehensive dataset from the national land surveying agency reveals the figure of 61.2%. The former dataset, which excludes many types of green spaces (such as arable land, private and informal green spaces), is still the most commonly used. The analysis of the 17 other cities confirms the same pattern. This results in broader institutional failures related to urban green infrastructure planning, management, and research, including a lack of awareness of green space quality (e.g. connectivity) and benefits (ecosystem services), and the related political disregard for urban green spaces. Our comparison suggests that a better understanding of green space data sources is necessary in urban planning, and especially when planning urban green infrastructure. [ABSTRACT FROM AUTHOR]

Nature-based Solutions (NbS) have been an increasingly recognized framework that uses naturally occurring processes to maximise the provisioning of ecosystem services and improve the life quality of city dwellers. One of the more widely applied NbS is an intentional abandonment of green space cultivation and promoting wilderness. In this study, we developed urban spontaneous vegetation (USV) identification algorithm based on NDVI from Sentinel-2 data in Warsaw's green spaces, Poland. We verified the study in an on-site survey where we collected 2863 field reference plots for USV and cultivated vegetation identification. We achieved 74 % accuracy for USV and 70 % for cultivated vegetation identification. The study assessed the spatial resources and extent of USV in the scale of the city and within various types of urban greenery. We identified the vegetation development persistence over 3 years and assessed the spontaneity levels of urban greenery. Classification of Warsaw's vegetation revealed that 54 % of Warsaw's greenery is cultivated while the remaining part is characterized by various levels of spontaneity. Only in 34.7 % of USV, we found no interruption of vegetation development due to cultivation for at least 3 years. USV was common in both cultivated parks where it accounted for 46.6 % of vegetation, as well as in the vacant lots, where it occurred in 55.3 % of the area. The proposed USV detection methodology can be an efficient tool for restoration effectiveness assessment and can support cultivation abandonment as NbS - an intended action promoting wilderness. [ABSTRACT FROM AUTHOR]

In this experiment, we operated within the novel research area of Informal Green Spaces (often called green wastelands), exploring emotional well-being with the employment of portable electroencephalography (EEG) devices. The apparatus (commercial EEG Muse headband) provided an opportunity to analyze states of calmness and alertness in n = 20 participants as they visited selected Informal Green Spaces in Warsaw, Poland. The article aims to test the hypothesis that passive recreation in Informal Green Spaces (IGSs) has a positive impact on emotional well-being and that there is a connection between the intensity of states of calmness and alertness and 1. the type of green space (IGS/GS), 2. the type of scenery and 3. the type of IGS. The preliminary experiment showed that there might be no substantial distinction in the users' levels of emotional states when considering existing typologies. On the other hand, data-driven analysis suggests that there might be a connection between the state of alertness and some characteristics of specific areas. After carrying out the multivariate analyses of variance in the repeated measurement scheme and finding significant differences between oscillations in different areas, we conclude that there might be three possible sources of lower alertness and increased calmness in some areas. These are 1. the presence of "desirable" human intervention such as paths and urban furniture, 2. a lack of "undesirable" users and signs of their presence and 3. the presence of other "desirable" users. [ABSTRACT FROM AUTHOR]

• Łódź IGS are perceived as providers of a range of ecosystem services. • Regulating and habitat services are most often assigned to IGS. • design interventions can improve the attractiveness of IGS. • In turn, they will enhance cultural services and encourage citizens to use IGS. Urban green spaces (UGS) and the ecosystem services they provide are essential for the health and wellbeing of city dwellers. UGS are increasingly seen as a potential solution for sustainable urban planning and development. Informal green spaces (IGS), even though they may make up a large share of UGS, are often overlooked in this regard. This study examines residents' awareness of the ecosystem services provided by IGS and their need for redevelopment. The data were collected through structured interviews in the immediate vicinity of selected IGS in the Polish city of Łódź. Łódź is typical of post-industrial European cities struggling with environmental (heatwaves, cloudbursts), social (aging, depopulation) and spatial (a neglected and dense city center) issues. Our results show that residents saw IGS as places able to provide a range of services, mostly of the regulating type, and even minor design interventions can improve the attractiveness of IGS. Taking this into account, we conclude that IGS are important vegetated areas in the city, which can be complementary to formal greenery. [ABSTRACT FROM AUTHOR]