This chapter explores landscape design in social context ecosystem services and symbolic dimensions of human-landscape relationships that are critical for long-term social acceptance and sustainability for planning outcomes that may optimize measurable ecological functions. This chapter presents innovative trends that go beyond conventional green infrastructure, drawing from a synthesis of advanced fields including artificial intelligence, biotechnology, neurobiology, and regenerative economics. Urban landscape helps to create more healthy and pro-active, dynamic socio-ecological systems This necessitates a paradigm shift toward a proactive, planetary-scale management science, where landscapes are not merely preserved but are actively designed to achieve ecological function and human well-being. This chapter investigates innovative urban landscape architecture approaches that integrate ecosystem services with social well-being through interdisciplinary methodologies. It begins by delineating the distinctions between landscape architecture and design, then evaluates methodological frameworks for ecosystem service assessment, including economic valuation, spatial analysis, social participation, and statistical modeling—while highlighting digital tools such as AI-driven predictive modeling and urban digital twins. The analysis emphasizes regenerative design principles, biomimetic strategies (morphological, functional, and ecosystem-level), and sociobiological dynamics in urban contexts, examining neurobiological pathways of nature exposure and cultural ecosystem services. Case studies from Moscow’s Zaryadye Park, Singapore’s Bishan-Ang Mo Kio Park, and São Paulo’s Green Corridors Project demonstrate how landscape design addresses social inequities, fosters community engagement, and mitigates environmental injustices through participatory planning and culturally sensitive interventions.

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Urban Landscape Architecture Ecosystem Services and Social Wellbeing

  • Yulia Ermolaeva

摘要

This chapter explores landscape design in social context ecosystem services and symbolic dimensions of human-landscape relationships that are critical for long-term social acceptance and sustainability for planning outcomes that may optimize measurable ecological functions. This chapter presents innovative trends that go beyond conventional green infrastructure, drawing from a synthesis of advanced fields including artificial intelligence, biotechnology, neurobiology, and regenerative economics. Urban landscape helps to create more healthy and pro-active, dynamic socio-ecological systems This necessitates a paradigm shift toward a proactive, planetary-scale management science, where landscapes are not merely preserved but are actively designed to achieve ecological function and human well-being. This chapter investigates innovative urban landscape architecture approaches that integrate ecosystem services with social well-being through interdisciplinary methodologies. It begins by delineating the distinctions between landscape architecture and design, then evaluates methodological frameworks for ecosystem service assessment, including economic valuation, spatial analysis, social participation, and statistical modeling—while highlighting digital tools such as AI-driven predictive modeling and urban digital twins. The analysis emphasizes regenerative design principles, biomimetic strategies (morphological, functional, and ecosystem-level), and sociobiological dynamics in urban contexts, examining neurobiological pathways of nature exposure and cultural ecosystem services. Case studies from Moscow’s Zaryadye Park, Singapore’s Bishan-Ang Mo Kio Park, and São Paulo’s Green Corridors Project demonstrate how landscape design addresses social inequities, fosters community engagement, and mitigates environmental injustices through participatory planning and culturally sensitive interventions.