(1) Background: Youth’s physical and mental health is of increasing concern today. However, gaining a more comprehensive knowledge of young people’s landscape preferences for urban parks is challenging. Additionally, young adults’ voices (aged from 20 to 24) are often neglected. (2) Methods: This study collected 349 interview questionnaires from 2014 to 2020 and recorded them into Nvivo10. Firstly, the study did a thematic analysis using the preliminary coding framework based on the landscape perception model to code the interview data and statistics on the frequencies of each theme and code. Then, we used diffractive analysis to interpret original materials to comprehend the underlying significance. (3) Results: Our research showed that young adults’ landscape perceptions are richer in diversity and express more subjective feelings. Their landscape preferences are also related to behavioral activities in addition to environmental features, which have some differences from teenagers. (4) Conclusions: It is helpful to attract more young adults by creating sound and smell landscapes, accommodating more dynamic sports and recreation facilities, and controlling unhygienic and noise problems, which can offer better design, planning, and management for creating inclusive urban parks. The landscape perception model developed in this paper can also provide a reference for related studies in the future.

Looking at the urban development of the past two centuries, we can conclude that engineers and architects have been dominating the field of urban design all over Europe. Architects played the most important role, which became even more significant with the increase of urban development. Beyond the architectural approach, a greater importance had been attributed to ecological aspects of urban planning by the turn of the 20th century as, for example, the advance of the garden city movement illustrates. This article focuses on the review of crucial open-space renewal projects from two Eastern European cities and China. The case studies are used to shed light on the characteristics and historical values of contemporary open-space design, based on innovative and landscape architectural approaches and artistic solutions. The study shows that the original role of urban open spaces was significantly extended during the first decades of the 21st century. The increased needs for representation—commercial, cultural and living functions, and ecological and healthy benefits—led to a multifunctional approach in design and planning. The renewal of the historic urban open spaces is carried out under an integrated framework and a unified goal: the development-oriented heritage conservation. Based on strong economic aspects, the general tendency is clearly positive—in spite of still-existing problematic issues (for instance, the management of public transport or the status of public utilities). In the time of a growing awareness of open-space heritage, this overview tries to depict possible general principles of a long-term renewal strategy built on local identity, heritage values and social sustainability.

Against the backdrop of global climate change, the threat of extreme rainfall and flooding hazards to urban safety is becoming increasingly serious, and there is an urgent need to improve the resilience of cities through the construction of sponge cities. However, improving the sponge city's capacity for resisting the risk of urban flooding is challenging. The relevant concept of ecosystem-based disaster risk reduction (Eco-DRR) is currently one of the main international theories of urban resilience, and it has important value for enhancing urban stormwater resilience. An approach for improving the stormwater resilience of sponge cities is presented in this paper, using the urban design of Jiangchuanlu Street in Shanghai as an example and the stormwater model to simulate flood disasters on Jiangchuanlu Street. In addition to the simulation results, the population and property conditions of the site were combined in order to conduct a comprehensive risk assessment through the risk matrix. Then, the Eco-DRR measures were implemented to enhance the urban stormwater resilience of Jiangchuanlu Street based on the assessment results. Finally, the ecological infrastructure of the study area was constructed, and the safety and health units were created on the basis of the ecological substrate to prevent and respond to public health emergencies. The results show that the stormwater resilience enhancement approach based on Eco-DRR can effectively alleviate the flood risk of Jiangchuanlu Street. At the same time, the safety and health units created through the ecological infrastructure can also help to prevent and respond to public health emergencies. The results of this study provide a resilience enhancement approach for sponge cities based on Eco-DRR, as well as a theoretical reference for the planning and construction of safe and resilient cities.

Evaluating the perceptions of social cohesion provides an elaborated understanding of the commemorative values of modern heritage. However, little attention has been paid to China’s modern historic parks (MHPs) due to the difficulty of capturing spatially explicit information. Utilizing a public participation GIS, we quantified four types of social cohesion in Shanghai’s existing MHPs, and analyzed their relationships with different types of activities and specific landscape features. The results show that the MHPs are rich in social cohesion, especially in belonging and place attachment. Social cohesion is spatially associated with leisure and sightseeing activities. The perception of different types of social cohesion varies across spaces with different landscape features. Our findings validate the composition of commemorative values of MHPs, and offer a reference for balancing the preservation and regeneration of modern heritage.

Objective Urban areas are increasingly vulnerable to compound rainstorm and heatwave (CRH) disaster risks. Existing research primarily treats rainstorms and heatwaves as isolated risks, resulting in a limited understanding of CRH dynamics and insufficient mitigation strategies. While ecosystem-based disaster risk reduction (Eco-DRR) offers adaptive solutions for multiple disasters, its application to CRH remains underdeveloped. Key challenges include methodological gaps in CRH risk assessment and Eco-DRR application in the planning of disaster risk reduction. Methods This research develops a planning framework grounded in Eco-DRR theory to address CRH disaster risks. First, the research employs a risk assessment methodology driven by multi-source data to overcome the constraints of traditional single-disaster assessment approaches. The research utilizes daily precipitation and maximum temperature data from Shanghai meteorological stations (2011–2023) to identify CRH events using a maximum temporal interval criterion. Subsequently, disaster records of rainstorms and heatwaves within the event time window are extracted as target variables, while raster data of climatic, topographic, geomorphic, and hydrological influencing factors are derived using ENVI and ArcGIS tools as explanatory variables, forming CRH disaster datasets for training a random forest model. The datasets are partitioned into training and testing sets at a 7:3 ratio. The probability of disaster event occurrence is calculated on a grid-by-grid basis. Disaster risks are classified into high, medium, and low levels using the natural breaks classification method (Jenks), visualized for CRH risks on the ArcGIS platform, and ultimately integrated into a bivariate spatial distribution map through a compound risk matrix. Second, Eco-DRR principles are systematically integrated into territorial spatial planning systems to transition from reactive single-disaster mitigation to proactive resilience-driven strategies. The systematic integration of Eco-DRR theory into the aforesaid planning framework establishes an implementation logic of “risk assessment – planning objectives – support system – spatial configuration – management measures” across five core components. Based on the above, the research proposes the following specific pathways. 1) Resilience goal setting: Defining township/subdistrict-level risk zoning and Eco-DRR targets based on citywide compound risk assessment results. 2) Support system development: Constructing an Eco-DRR support system incorporating mitigation and adaptation strategies. 3) Spatial configuration optimization: Determining spatial allocation schemes for Eco-DRR support elements guided by risk assessment outcomes. 4) Hierarchical management implementation: Coordinating management needs for transition between routine and emergency states under the “risk types – spatial features – planning objectives – management hierarchy” framework. Third, horizontal coordination between ecological spaces and comprehensive disaster prevention systems mitigates fragmentation in existing planning frameworks, establishing a replicable model for multi-disaster, multi-system planning for disaster risk reduction. The Eco-DRR theoretical framework resolves conflicts between multiple planning systems by enabling horizontal coordination between ecological spaces and comprehensive disaster prevention planning. Specifically, Eco-DRR is deconstructed into “+ ecology” and “+ disaster prevention” strategies, with “+ ecology” integrated into comprehensive disaster prevention planning, while “+ disaster prevention” is embedded within ecological spatial planning. Eco-DRR’s mitigation and adaptation strategies are implemented, with coordinated ecological and disaster prevention plans serving as the basis for detailed planning. Results The research adopts random forest models for analysis to identify CRH events and map their spatial distribution in Shanghai. Results show that CRH disasters predominantly occur between May and September, peaking during the plum rain season and summer months. Annual cumulative durations have increased, exceeding 70 days in the past three years. The high-risk zones for compound risks are concentrated in the central urban areas of Hongqiao, Minhang, and Chuansha districts in Shanghai, as well as surrounding new towns, exhibiting spatial characteristics of “central concentration, peripheral dispersion, and local aggregation”. The spatial distribution patterns of compound risks align with urban development trajectories, with pronounced “rain island” and “heat island” effects. Getis-Ord Gi* analysis reveals that risk hotspots (p<0.05) radiate outward from the urban core to surrounding suburban coldspots. Guided by Eco-DRR theory, dual planning interventions are operationalized: 1) “+ disaster prevention” ecological spatial planning optimization: Eco-DRR constraint indicators embodying the “+ disaster prevention” concept are integrated into Shanghai’s ecological spatial support system. High-risk compound CRH zones are identified as Eco-DRR nodes within the green network, restructuring the outer green belt and suburban green ring. Resilience-compatible zoning is applied based on risk levels. 2) “+ ecology” comprehensive disaster prevention planning optimization: Eco-DRR principles guide “+ ecology” disaster mitigation strategies, including restructuring disaster spaces (shelters, evacuation routes, and zoning) and optimizing safety patterns through risk zoning, route upgrades, and facility improvements. CRH risk zoning informs differentiated construction guidelines, with dual-purpose zoning for normal & emergency states. Conclusion This research aligns with territorial spatial planning mandates...