Neighbourhood looking glass: 360º automated characterisation of the built environment for neighbourhood effects research

scientific article published on 15 January 2018

Neighbourhood looking glass: 360º automated characterisation of the built environment for neighbourhood effects research is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1136/JECH-2017-209456
P932PMC publication ID5868527
P698PubMed publication ID29335255

P50authorQuynh C NguyenQ47153586
Tolga TasdizenQ60056868
P2093author name stringMing Wen
Ken R Smith
Feifei Li
Kim Brunisholz
Thu T Nguyen
Mehdi Sajjadi
Minh Pham
Hsien-Wen Meng
Matt McCullough
Weijun Yu
P2860cites workDevelopment and deployment of the Computer Assisted Neighborhood Visual Assessment System (CANVAS) to measure health-related neighborhood conditionsQ27311174
Using Google Street View to audit neighborhood environmentsQ28386012
Levels of mortality, education, and social conditions in the 107 local education authority areas of EnglandQ33703285
Racial and social class gradients in life expectancy in contemporary CaliforniaQ33770870
Neighborhood socioeconomic change and diabetes risk: findings from the Chicago childhood diabetes registryQ33804641
Validity of an ecometric neighborhood physical disorder measure constructed by virtual street auditQ34149337
Can virtual streetscape audits reliably replace physical streetscape audits?Q34420173
Assessing Walking and Cycling Environments in the Streets of Madrid: Comparing On-Field and Virtual AuditsQ34493116
Environmental factors associated with adults' participation in physical activity: a reviewQ34565452
Social deprivation and premature mortality: regional comparison across EnglandQ35189992
Matching study areas using Google Street View: A new application for an emerging technology.Q36236722
The Irvine-Minnesota inventory to measure built environments: development.Q36387396
A systematic review of relations between neighborhoods and mental health.Q36618931
Using Virtual Street Audits to Understand the Walkability of Older Adults' Route Choices by Gender and Age.Q37455547
Neighborhood Design, Physical Activity, and Wellbeing: Applying the Walkability ModelQ37628821
Birth weight and subsequent risk of obesity: a systematic review and meta-analysisQ37857902
Disparities in pedestrian streetscape environments by income and race/ethnicityQ38379512
Context, composition and heterogeneity: using multilevel models in health researchQ38529352
Identifying and Measuring Urban Design Qualities Related to WalkabilityQ40498557
How does the built environment relate to body mass index and obesity prevalence among public housing residents?Q43750560
The impact of income on the incidence of diabetes: a population-based studyQ45227507
Place-focused physical activity research, human agency, and social justice in public health: taking agency seriously in studies of the built environment.Q48109578
Relation between neighborhood environments and obesity in the Multi-Ethnic Study of AtherosclerosisQ50273112
Bringing context back into epidemiology: variables and fallacies in multilevel analysis.Q55067403
Geographic and socioeconomic variation in the onset of decline of coronary heart disease mortality in white womenQ57031365
Neighborhoods and obesity in New York CityQ57080668
Birthweight and risk for diabetesQ78290556
Nutrition Environment Measures Study in restaurants (NEMS-R): development and evaluationQ80031923
P4510describes a project that usesArcGISQ513297
P433issue3
P304page(s)260-266
P577publication date2018-01-15
P1433published inJournal of Epidemiology and Community HealthQ3428712
P1476titleNeighbourhood looking glass: 360º automated characterisation of the built environment for neighbourhood effects research
P478volume72

Reverse relations

cites work (P2860)
Q92327381Associations of Residential Greenness with Diabetes Mellitus in Chinese Uyghur Adults
Q96306309Emerging Opportunities Provided by Technology to Advance Research in Child Health Globally
Q55405800Estimating city-level travel patterns using street imagery: A case study of using Google Street View in Britain.
Q89684284Health and the built environment in United States cities: measuring associations using Google Street View-derived indicators of the built environment

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