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  • Research article
    Maria Chiara Pastore, Claudia Ida Maria Parenti, Laura Sibani, Lucia Ludovici, Massimo Labra, Werther Guidi Nissim
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    Urban brownfields and degraded areas pose pressing environmental and social challenges, especially in metropolitan contexts shaped by industrial legacies and land-use transformations. Among the nature-based solutions available, phytoremediation, using plants to mitigate soil contamination, offers a sustainable, low-impact alternative to conventional reclamation techniques. Despite its ecological benefits, phytoremediation remains underused in urban planning due to uncertainties and long treatment times. This study applied a GIS-based multi criteria analysis integrating open source spatial data, soil parameters, and satellite image interpretation to identify suitable areas for phytoremediation within the Milan Metropolitan Area (MMA). A weighted evaluation framework was developed by considering soil characteristics (texture and organic carbon content), vegetation cover, site size, and total available free surface (areas not occupied by built structures) to calculate suitability indices. Results show that out of 720 mapped sites, approximately 40 % displayed good or high suitability for phytoremediation, highlighting important opportunities for sustainable soil regeneration within the urban fabric. Integrating environmental planning and landscape design perspectives, the findings support a broader vision of sustainable urban transformation and demonstrate how soil regeneration can play a critical role in shaping future green infrastructure and ecological networks.
  • Research article
    Xinyi Liu, Mengyixin Li, Luca Maria Francesco Fabris, Rongting Li
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    With the acceleration of globalization and urbanization, cities are increasingly facing challenges such as land scarcity and the degradation of industrial heritage. As spatial carriers of urban memory, industrial heritage landscapes demand innovative strategies for their conservation and adaptive reuse. The rapid advancement of digital technologies offers new approaches to documenting, analyzing, and presenting heritage resources. This study focuses on the industrial heritage landscapes of Beijing and adopts a research framework of “identification-analysis-construction” to explore its integration across physical, social, and digital dimensions. A mixed-methods approach is employed, combining literature review, geospatial analysis, and public perception surveys. In the identification phase, key heritage sites in Beijing are cataloged and mapped, resulting in a comprehensive database of their spatial distribution and current conditions. In the analysis phase, the study examines how these sites relate to land use, transportation systems, and levels of community engagement. For the construction phase, digital visualization and interactive strategies are proposed for both heritage managers and the general public. A conceptual digital platform for Beijing industrial heritage landscape is developed, allowing users to access historical information, engage in interactive experiences, and enhance their connection to these sites. The findings contribute valuable insights for future strategies in heritage conservation and community engagement.
  • Research article
    Junyi Lixu, Tongyu Li, Binxia Xue, Siyuan Guo
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    With the backdrop of extreme rainfall and rapid urbanization, quantifying the runoff mitigation capacity of different types of urban green spaces (UGS) and spatially representing them holds significant importance for UGS design and planning aimed at sustainability and at managing stormwater-related public-health risks in healthy urban environments. This paper, taking Kunming City, China as a case study, develops a physics-guided, XGBoost-augmented SCS-CN framework that integrates normalized difference vegetation index (NDVI) and terrain metrics while enforcing basic hydrologic feasibility constraints. Using multi-source spatial data that includes 30 m Land Use and Land Cover Change (LUCC), resampled Hydrologic Soil Groups (HSG), and UGS types classified under Standard for Classification of Urban Green Space (CJJ/T 85-2017) and an event rainfall set spanning 1-166 mm, we evaluate runoff reduction across UGS types and compare the augmented model against the baseline Soil Conservation Service Curve Number (SCS-CN) approach. Results show that the augmented model outperforms the baseline, with the most stable gains under moderate storms (approximately 20-120 mm), while maintaining physical consistency. Type-based comparisons reveal that EG-category UGS sustain higher and more stable runoff-reduction coefficients across most rainfall intervals, whereas several G-category and affiliated UGS show earlier efficiency decline as rainfall intensifies. At the city scale, runoff-reduction coefficients exhibit an inflection around 20-30 mm, which indicates a transition from a plateau phase to a sustained decline with larger storms. Feature attribution indicates that NDVI dominates runoff reduction under light to moderate rainfall, while rainfall intensity and slope become the primary drivers during heavy rainfall, with key interaction effects shifting around the mid-range storm depth. These findings support health-oriented planning strategies that prioritize canopy and soil-based retention for frequent small to moderate events and coordinate green-gray infrastructure to buffer overflow and associated public health exposures during heavy storms.
  • Research article
    Jennifer Engelke, George Thomas Jr., Mason Bowles, Nancy Rottle
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    In urbanized rivers and waterways, Constructed Floating Wetlands (CFWs) offer a nature-based solution for ecosystem restoration, particularly in areas with hardened shorelines and limited space for traditional land-based interventions. This four-year study deployed CFWs in two urban waterways in Seattle, Washington (the Lower Duwamish Waterway and the Lake Washington Ship Canal) to enhance salmon habitat by reintroducing wetland functions. Monitoring data from the organic plant root substrate revealed that CFWs effectively removed heavy metals and nutrients from the water in both freshwater and brackish environments. Importantly, no adverse effects were observed on key water quality parameters such as temperature, dissolved oxygen, or conductivity. While results related to carbon sequestration were mixed, the findings suggest that even small-scale CFW installations can contribute positively to water quality. Although the limited surface area of the CFWs constrained their overall treatment capacity, the study suggests that scaling up deployment could contribute to reducing contaminant and nutrient loading in urban waterways, while also benefiting aquatic organisms. These results offer support for the use of CFWs as a viable nature-based solution for retrofitting hardened shorelines and rehabilitating highly urbanized or industrialized aquatic environments; especially where land-based restoration is impractical due to cost or space constraints.
  • Research article
    Chang Guo, Can Zhang, Zizhuo Meng, Le Chen, Xiaolong Lv, Xiaonan Yu
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    With the growing prevalence of psychological stress among university students, optimizing campus environments to promote health has become increasingly important. However, existing campus plant landscapes often emphasize spatial function while neglecting health-oriented design. This study quantitatively evaluated how different plant community structures and colors influence students’ physiological and psychological wellbeing. Twenty-seven plots across four universities in Beijing were classified into nine structural types, and both field perception and color vision experiments were conducted to measure blood pressure, heart rate, blood oxygen saturation, and psychological responses. Results showed that multi-layered communities (arbor-shrub-grassland) produced the greatest reductions in systolic and diastolic pressure and heart rate, and the highest increase in blood oxygen saturation compared with single-layer or hardscape sites. Participants also exhibited significantly higher remoteness, coherence and fascination scores, suggesting enhanced environmental restorativeness. Regarding color, white, pink, purple, and blue flowers and green and yellow leaves most effectively reduced physiological stress and promoted positive emotions, while warm hues (red, orange, yellow) alleviated sadness and tension. This study proposes health-oriented campus planting models integrating community structure and color composition. The findings demonstrate that enriching plant community hierarchy and color diversity can effectively enhance students’ physiological relaxation and psychological restoration, offering a scientific basis for restorative campus landscape design.
  • Research article
    Yuyang Peng, Steffen Nijhuis, Zaichen Wu, Yingwen Yu
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    Street view imagery (SVI) is widely used in urban visual analysis and often treated as equivalent to eye-level perception. Yet its limitations and contextual applicability remain underexplored. This paper conducts a diagnostic viewpoint-level comparison of an image-based SVI pipeline and a 3D model-based field-of-view (FOV) method to clarify their respective weaknesses, strengths, and how they can be combined in practice (rather than treated as interchangeable or numerically fused). Using the West Lake ring road in Hangzhou as a case study, we analyze 2140 panoramas at 1075 viewpoints. The comparison shows systematic differences: SVI produces higher green shares (+0.16 on average), while FOV yields higher paved ground (+0.13) and building shares (+0.08). Sky differs little overall, water remains minor, and cross-method consistency varies by segment; SVI displays greater local variability linked to canopy occlusion and near-field heterogeneity. A small perception survey validates these findings. Terrain relief and building height were recognized more consistently in FOV, while vegetation and water abundance aligned more closely with SVI. Participants also judged overall ambience more easily from FOV’s structural stability, even though SVI conveyed greater visual realism. These results reveal clear complementarities: FOV provides structure-aware metrics, SVI emphasizes appearance cues, and neither alone captures lived perception. On this basis, we propose a combination-oriented three-layer workflow, with perception as a required validation layer to support reliable applications in skyline and openness control, interface and character management, greenery maintenance, and equity assessment.