Transforming urban spaces for 15-min city implementation: a two-stage SEM-ANN approach to enhancing quality of life
Abstract This study employs a two-staged structural equation modeling-artificial neural network (SEM-ANN) approach to examine the necessity of urban spatial restructuring (USR) for implementing the 15-Min City (15MC) framework and its impact on quality of life (QoL) in Gwalior, a Tier Two Indian cit...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Computing |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s10791-025-09620-3 |
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