Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic Review
This study employs a systematic literature review (PRISMA methodology) to investigate the integration of Artificial Intelligence (AI) in walkability assessments conducted between 2012 and 2022. Analyzing 34 articles exploring data types, factors, and AI tools, the review emphasizes the value of util...
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| Format: | Article |
| Language: | English |
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Cogitatio
2025-01-01
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| Series: | Urban Planning |
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| Online Access: | https://www.cogitatiopress.com/urbanplanning/article/view/8518 |
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| author | Yasin Delavar Sarah Gamble Karla Saldana-Ochoa |
| author_facet | Yasin Delavar Sarah Gamble Karla Saldana-Ochoa |
| author_sort | Yasin Delavar |
| collection | DOAJ |
| description | This study employs a systematic literature review (PRISMA methodology) to investigate the integration of Artificial Intelligence (AI) in walkability assessments conducted between 2012 and 2022. Analyzing 34 articles exploring data types, factors, and AI tools, the review emphasizes the value of utilizing diverse datasets, particularly street view images, to train supersized AI models. This approach fosters efficient, unbiased assessments and offers deep insights into pedestrian environment interactions. Furthermore, AI tools empower walkability assessment by facilitating mapping, scoring, designing pedestrian routes, and uncovering previously unconsidered factors. The current shift from large-scale spatial data analysis (allocentric perspective) to a ground-level view (egocentric perspective) and physical and perceptual features of walking introduces a subjective lens into current walkability assessment tools. However, the efficacy of current methods in addressing non-visual aspects of human perception and their applicability across diverse demographics remains debatable. Finally, the lack of integration of emerging technologies like virtual/augmented reality and digital twin leaves a significant gap in research, inviting further study to determine their efficacy in enhancing the current methods and, in general, understanding the interaction of humans and cities. |
| format | Article |
| id | doaj-art-6bce89d757e64f27b08a882471a57729 |
| institution | Kabale University |
| issn | 2183-7635 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Cogitatio |
| record_format | Article |
| series | Urban Planning |
| spelling | doaj-art-6bce89d757e64f27b08a882471a577292025-01-21T10:43:37ZengCogitatioUrban Planning2183-76352025-01-0110010.17645/up.85183738Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic ReviewYasin Delavar0Sarah Gamble1Karla Saldana-Ochoa2School of Architecture, University of Florida, USASchool of Architecture, University of Florida, USASchool of Architecture, University of Florida, USAThis study employs a systematic literature review (PRISMA methodology) to investigate the integration of Artificial Intelligence (AI) in walkability assessments conducted between 2012 and 2022. Analyzing 34 articles exploring data types, factors, and AI tools, the review emphasizes the value of utilizing diverse datasets, particularly street view images, to train supersized AI models. This approach fosters efficient, unbiased assessments and offers deep insights into pedestrian environment interactions. Furthermore, AI tools empower walkability assessment by facilitating mapping, scoring, designing pedestrian routes, and uncovering previously unconsidered factors. The current shift from large-scale spatial data analysis (allocentric perspective) to a ground-level view (egocentric perspective) and physical and perceptual features of walking introduces a subjective lens into current walkability assessment tools. However, the efficacy of current methods in addressing non-visual aspects of human perception and their applicability across diverse demographics remains debatable. Finally, the lack of integration of emerging technologies like virtual/augmented reality and digital twin leaves a significant gap in research, inviting further study to determine their efficacy in enhancing the current methods and, in general, understanding the interaction of humans and cities.https://www.cogitatiopress.com/urbanplanning/article/view/8518artificial intelligencedigital twinhuman perceptionurban built environmentwalkabilitywalkability assessmentwalkable environment |
| spellingShingle | Yasin Delavar Sarah Gamble Karla Saldana-Ochoa Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic Review Urban Planning artificial intelligence digital twin human perception urban built environment walkability walkability assessment walkable environment |
| title | Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic Review |
| title_full | Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic Review |
| title_fullStr | Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic Review |
| title_full_unstemmed | Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic Review |
| title_short | Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic Review |
| title_sort | past present and future perspectives on the integration of ai into walkability assessment tools a systematic review |
| topic | artificial intelligence digital twin human perception urban built environment walkability walkability assessment walkable environment |
| url | https://www.cogitatiopress.com/urbanplanning/article/view/8518 |
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