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Nonlinear Effects of Built Environment on Walking Activities of the Elderly Based on GBRT Model: A Case Study of Yuzhong District, Chongqing City
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Chun CHEN1, Xin-hui KUANG2, Yi TANG2
Science Technology and Engineering | 2025, 25(9) : 3905 - 3913
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Science Technology and Engineering | 2025, 25(9): 3905-3913
• Papers·Traffics and Transportations •
Nonlinear Effects of Built Environment on Walking Activities of the Elderly Based on GBRT Model: A Case Study of Yuzhong District, Chongqing City
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Chun CHEN1, Xin-hui KUANG2, Yi TANG2
Affiliations
  • 1 School of Smart City, Chongqing Jiaotong University, Chongqing 400074, China
  • 2 College or Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
Published: 2025-03-28 doi: 10.12404/j.issn.1671-1815.2403341
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To reveal the complex relationship between the built environment and walking activity among older adults, a gradient boosting regression tree (GBRT) model was adopted, combined with multi-source data such as mobile signaling data, remote sensing image data, and point of interest (POI), to deeply explore the non-linear impact of the built environment on elderly walking activities and its threshold characteristics. The findings indicate that the built environment has a significant nonlinear impact on older adults’ walking activity, with land use factors being the most influential. Specifically, land use mix, the proportion of commercial service facilities, and the proportion of residential land are identified as key factors affecting older adults' walking activity. Additionally, the proximity of facilities also plays an important role. Finally, suggestions have been put forward for the adaptive transformation of land use and facilities to improve the level of elderly walking activities and promote healthy aging.

built environment  /  walking activity  /  nonlinear relationship  /  GBRT model  /  the elderly
Chun CHEN, Xin-hui KUANG, Yi TANG. Nonlinear Effects of Built Environment on Walking Activities of the Elderly Based on GBRT Model: A Case Study of Yuzhong District, Chongqing City[J]. Science Technology and Engineering, 2025 , 25 (9) : 3905 -3913 . DOI: 10.12404/j.issn.1671-1815.2403341
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Year 2025 volume 25 Issue 9
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Article Info
doi: 10.12404/j.issn.1671-1815.2403341
  • Receive Date：2024-05-07
  • Online Date：2025-07-09
  • Published：2025-03-28
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  • Received：2024-05-07
  • Revised：2024-12-27
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Affiliations
    1 School of Smart City, Chongqing Jiaotong University, Chongqing 400074, China
    2 College or Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China
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