The association of urban greenness and walking behavior: Using google street view and deep learning techniques to estimate residents’ exposure to urban greenness

International Journal of Environmental Research and Public Health

Volumn 15, Issue 8, 2018, Pages

  Lu, Yi ^a,b  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b City University of Hong Kong Shenzhen Research Institute ^*  (Hong Kong)

Author keywords

Eye level greenness; Physical activity; Street greenness; Urban greenness; Walking

Indexed keywords

DIGITAL MAP; GREENSPACE; MACHINE LEARNING; PHYSICAL ACTIVITY; URBAN HOUSING; WALKING;

ADOLESCENT; ADULT; AGED; ARTICLE; CHILD; DEEP LEARNING TECHNIQUE; ENVIRONMENTAL EXPOSURE; FEMALE; HEALTH BEHAVIOR; HONG KONG; HOUSEHOLD INCOME; HOUSING; HUMAN; LAND USE; MALE; MIDDLE AGED; MOBILE APPLICATION; PHYSICAL ACTIVITY; POPULATION DENSITY; RESIDENTIAL AREA; STATISTICAL ANALYSIS; TIME; URBAN AREA; URBAN GREENNESS; URBAN POPULATION; VEGETATION; WALKING; DEMOGRAPHY; ENVIRONMENTAL PLANNING; GROWTH, DEVELOPMENT AND AGING; INTERVIEW; QUALITATIVE RESEARCH; QUESTIONNAIRE; VIRIDIPLANTAE;

CHINA; HONG KONG;

ADULT; DEEP LEARNING; ENVIRONMENT DESIGN; FEMALE; HEALTH BEHAVIOR; HONG KONG; HOUSING; HUMANS; INTERVIEWS AS TOPIC; MALE; QUALITATIVE RESEARCH; RESIDENCE CHARACTERISTICS; SURVEYS AND QUESTIONNAIRES; URBAN POPULATION; VIRIDIPLANTAE; WALKING;

EID: 85050682231     PISSN: 16617827     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph15081576     Document Type: Article

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