A study on street walkability for older adults with different mobility abilities combining street view image recognition and deep learning - The case of Chengxianjie Community in Nanjing (China)-Reference-Cited by-同舟云学术

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A study on street walkability for older adults with different mobility abilities combining street view image recognition and deep learning - The case of Chengxianjie Community in Nanjing (China)

Published:2024-09 Issue: Volume:112 Page:102151
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Chen Yinan,Huang Xiaoran,White Marcus

Funder

Beijing Municipal Social Science Foundation

Australian Research Council

Beijing Social Science Fund

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference70 articles.

1. Predicting walkability;Abley,2011

2. Correlates of life space in a volunteer cohort of older adults;Barnes;Experimental Aging Research,2007

3. Physical activity and social network contacts in community dwelling older adults;Bertera;Activities, Adaptation, & Aging,2003

4. Facilitators of and barriers to physical activity in retirement communities: Experiences of older women in urban areas;Bjornsdottir;Physical Therapy,2012

5. Social–cognitive and perceived environment influences associated with physical activity in older Australians;Booth;Preventive Medicine,2000

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1. Translating street view imagery to correct perspectives to enhance bikeability and walkability studies;International Journal of Geographical Information Science;2024-08-27

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