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People–Place Relationships in Regenerative Urban Assemblages: Streetscape Composition and Subjective Well-Being of Older Adults

Takuo Inoue (), Rikutaro Manabe, Akito Murayama and Hideki Koizumi
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Takuo Inoue: Department of Urban Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Rikutaro Manabe: Center for Research and Development of Higher Education, The University of Tokyo, Tokyo 113-0033, Japan
Akito Murayama: Department of Urban Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Hideki Koizumi: Department of Urban Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan

Land, 2025, vol. 14, issue 4, 1-19

Abstract: Cities are undergoing rapid transformations due to global trends such as population aging, climate change, and increasing social diversity. In order to address these challenges, urban planning must adopt regenerative approaches that enhance subjective well-being by fostering meaningful relationships between people and their surroundings. Streetscapes, which serve as accessible urban landscapes, are important, especially for older adults, who depend on their local environment due to mobility constraints. This study examines the composition of streetscapes and the subjective well-being of older adults in a Japanese municipality. Using streetscape imagery and semantic segmentation, we quantified landscape elements—including vegetation, sky, roads, and buildings—within various walking distances from participants’ residences. Subjective well-being was measured using an 11-point Likert scale and analyzed by ordinal logistic regression. The results revealed that specific streetscape elements significantly impacted subjective well-being differently across spatial thresholds, showing that micro-scale urban landscapes are substantially important in promoting well-being among older adults. This study provides evidence-based insights for adaptive, inclusive, and regenerative urban planning strategies that promote the well-being of diverse demographic groups.

Keywords: landscape elements; street-level imagery; semantic segmentation; ordinal logistic regression (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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