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To address this gap, we leverage the mobile phone signaling data to quantify the spatio-temporal distribution of the MSA-level human activities among different age groups as measured by the vibrancy index (VI). Furthermore, we investigate the impact of the MSA-level built environment on the VI and its intergenerational differences by employing multiple linear regressions based on multi-sourced data. To this end, Chengdu\u2014a TOD-thriving megacity in China\u2014is chosen as a case study. The results indicate that: (1) Residential and bus stop density are positively associated with the VI. And the magnitudes of the correlation coefficients are similar among different age groups. (2) Distance to CBD is negatively associated with the VI of teenagers (12\u201318 years), middle-aged adults (40\u201359 years), and older adults (above 60 years) but unrelated to the VI of young adults (19\u201339 years). (3) Employment density is positively associated with the VI of young and middle-aged adults but insignificantly associated with the VI of teenagers and older adults. (4) The correlations between the floor area ratio and the VI are positive for all age groups. As age increases, the significance of such correlations becomes more pronounced. (5) Streetscape greenery shows a more significant positive correlation with the VI of teenagers and older adults as compared to those of young and middle-aged adults. (6) Significant negative correlations exist between housing price and the VI of different age groups. The findings can inform the development and design of vibrant TOD communities.<\/jats:p>","DOI":"10.3389\/fpubh.2022.994835","type":"journal-article","created":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T06:20:12Z","timestamp":1662445212000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":21,"title":["Intergenerational differences in the urban vibrancy of TOD: Impacts of the built environment on the activities of different age groups"],"prefix":"10.3389","volume":"10","author":[{"given":"Bingjie","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runze","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pinyang","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangzhou","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,9,6]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"102005","DOI":"10.1016\/j.habitatint.2019.102005","article-title":"Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data","volume":"89","author":"Chen","year":"2019","journal-title":"Habitat Int."},{"key":"B2","volume-title":"The Death and Life of Great American Cities","author":"Jacobs","year":"1961"},{"key":"B3","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.1177\/2399808320924425","article-title":"How can the urban landscape affect urban vitality at the street block level? 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