Predicting the elderly's quality of life based on dynamic neighborhood environment under diverse scenarios: An integrated approach of ANN, scenario analysis and Monte Carlo method
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Amos Darko | Dezhi Li | Fan Zhang | Albert P.C. Chan | Fan Zhang | Dezhi Li | Albert Chan | A. Darko
[1] R. Holle,et al. Neighborhood and healthy aging in a German city: distances to green space and senior service centers and their associations with physical constitution, disability, and health-related quality of life , 2015, European Journal of Ageing.
[2] Xilei Dai,et al. An artificial neural network model using outdoor environmental parameters and residential building characteristics for predicting the nighttime natural ventilation effect , 2019, Building and Environment.
[3] Fan Zhang,et al. Exploring the inner relationship among neighborhood environmental factors affecting quality of life of older adults based on SLR–ISM method , 2020, Journal of Housing and the Built Environment.
[4] Queena K. Qian,et al. Applicability of ‘Aging in Place’ in redeveloped public rental housing estates in Hong Kong , 2018, Cities.
[5] E. Cerin,et al. Built environmental correlates of older adults’ total physical activity and walking: a systematic review and meta-analysis , 2017, International Journal of Behavioral Nutrition and Physical Activity.
[6] Yvonne L. Michael,et al. The influence of neighborhood residential density, physical and social environments on older adults' physical activity: An exploratory study in two metropolitan areas. , 2012, Journal of aging studies.
[7] Christian P. Robert,et al. Monte Carlo Statistical Methods , 2005, Springer Texts in Statistics.
[8] S. Saxena,et al. The World Health Organization Quality of Life assessment (WHOQOL): position paper from the World Health Organization. , 1995, Social science & medicine.
[9] Albert P. C. Chan,et al. Age-friendly cities and communities: a review and future directions , 2020, Ageing and Society.
[10] R. Reis,et al. Study protocol: healthy urban living and ageing in place (HULAP): an international, mixed methods study examining the associations between physical activity, built and social environments for older adults the UK and Brazil , 2018, BMC Public Health.
[11] Susan C. Hu,et al. Association of the built environments and health-related quality of life in community-dwelling older adults: a cross-sectional study , 2019, Quality of Life Research.
[12] Joyce Kim,et al. Personal comfort models – A new paradigm in thermal comfort for occupant-centric environmental control , 2018 .
[13] Amy Spring. Short- and Long-Term Impacts of Neighborhood Built Environment on Self-Rated Health of Older Adults , 2018, The Gerontologist.
[14] Jelena Srebric,et al. Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression , 2020 .
[15] Zhao Li,et al. A novel humidity measuring method based on dry-bulb temperatures using artificial neural network , 2018, Building and Environment.
[16] H. Chaudhury,et al. A photovoice documentation of the role of neighborhood physical and social environments in older adults' physical activity in two metropolitan areas in North America. , 2012, Social science & medicine.
[17] Fan Zhang,et al. Multiple Linear Regression-Structural Equation Modeling Based Development of the Integrated Model of Perceived Neighborhood Environment and Quality of Life of Community-Dwelling Older Adults: A Cross-Sectional Study in Nanjing, China , 2019, International journal of environmental research and public health.
[18] I. Kant,et al. Living Environment Matters: Relationships Between Neighborhood Characteristics and Health of the Residents in a Dutch Municipality , 2014, Journal of Community Health.
[19] Richard J. Beckman,et al. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.
[20] S. Bryan,et al. Older adults' quality of life - Exploring the role of the built environment and social cohesion in community-dwelling seniors on low income. , 2016, Social Science & Medicine (1967).
[21] M. D. McKay,et al. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code , 2000 .
[22] Ming Wen,et al. Objective and perceived neighborhood environment, individual SES and psychosocial factors, and self-rated health: an analysis of older adults in Cook County, Illinois. , 2006, Social science & medicine.
[23] Fan Zhang,et al. Diverse contributions of multiple mediators to the impact of perceived neighborhood environment on the overall quality of life of community-dwelling seniors: A cross-sectional study in Nanjing, China , 2020 .
[24] Xiaopeng Li,et al. Optimal design of building environment with hybrid genetic algorithm, artificial neural network, multivariate regression analysis and fuzzy logic controller , 2020, Building and Environment.
[25] Lauren Evans,et al. A Practical Methodology for Improving the Aging-Friendliness of Communities: Case Studies from Three U.S. Communities , 2020, Innovation in aging.
[26] E. Iecovich,et al. Aging in place : From theory to practice , 2014 .
[27] Lorne A. Greig,et al. Scenario analysis in environmental impact assessment: Improving explorations of the future , 2007 .
[28] J. Lian,et al. Reliability Analysis on One-Step Overall Transportation of Composite Bucket Foundation for Offshore Wind Turbine , 2019 .
[29] Jingyu Yu,et al. Impact of the built environment and care services within rural nursing homes in China on quality of life for elderly residents , 2017 .
[30] Fan Zhang,et al. How the Urban Neighborhood Environment Influences the Quality of Life of Chinese Community-Dwelling Older Adults: An Influence Model of “NE-QoL” , 2019, Sustainability.
[31] Relationships between environmental factors and participation in adults with traumatic brain injury, stroke, and spinal cord injury: a cross-sectional multi-center study , 2017, Quality of Life Research.
[32] Aldona Podgórniak-Krzykacz,et al. Smart and Age-Friendly Communities in Poland. An Analysis of Institutional and Individual Conditions for a New Concept of Smart Development of Ageing Communities , 2020, Energies.
[33] E. Cerin,et al. Neighbourhood environment, physical activity, quality of life and depressive symptoms in Hong Kong older adults: a protocol for an observational study , 2016, BMJ Open.
[34] Ali Dehghanbanadaki,et al. Prediction and optimization of energy consumption in an office building using artificial neural network and a genetic algorithm , 2020 .
[35] J. Ng,et al. Increasing students’ physical activity during school physical education: rationale and protocol for the SELF-FIT cluster randomized controlled trial , 2017, BMC Public Health.
[36] Maohui Luo,et al. Predicting older people's thermal sensation in building environment through a machine learning approach: Modelling, interpretation, and application , 2019, Building and Environment.
[37] R. Yu,et al. Perceptions of Neighborhood Environment, Sense of Community, and Self-Rated Health: an Age-Friendly City Project in Hong Kong , 2018, Journal of Urban Health.
[38] Anita M. M. Liu,et al. Effects of neighborhood building density, height, greenspace, and cleanliness on indoor environment and health of building occupants , 2018, Building and Environment.
[39] Wu Zhifeng,et al. The influence of greenspace characteristics and building configuration on depression in the elderly , 2020 .
[40] Jingfeng Yuan,et al. Demand for community-based care services and its influencing factors among the elderly in affordable housing communities: a case study in Nanjing City , 2020, BMC Health Services Research.
[41] S. Charles,et al. Better with age: Social relationships across adulthood , 2011, Journal of social and personal relationships.
[42] C. Chau,et al. Development of artificial neural network models for predicting thermal comfort evaluation in urban parks in summer and winter , 2019, Building and Environment.
[43] Dezhi Li,et al. AHP-TOPSIS-Based Evaluation of the Relative Performance of Multiple Neighborhood Renewal Projects: A Case Study in Nanjing, China , 2019, Sustainability.
[44] Ilse de Bourdeaudhuij,et al. Relationship of the Perceived Social and Physical Environment with Mental Health-Related Quality of Life in Middle-Aged and Older Adults: Mediating Effects of Physical Activity , 2015, PloS one.
[45] M. Leung,et al. A qualitative and quantitative investigation of effects of indoor built environment for people with dementia in care and attention homes , 2019, Building and Environment.
[46] Lin Chen,et al. Shanghai: Front-Runner of Community-Based Eldercare in China , 2016, Journal of aging & social policy.
[47] Dezhi Li,et al. The impacts of relationships between critical barriers on sustainable old residential neighborhood renewal in China , 2020 .
[48] Lijun Yu,et al. Integrating willingness analysis into investment prediction model for large scale building energy saving retrofit: Using fuzzy multiple attribute decision making method with Monte Carlo simulation , 2019, Sustainable Cities and Society.
[49] J. Wiles,et al. The meaning of "aging in place" to older people. , 2012, The Gerontologist.
[50] M. Lohman,et al. Neighborhood Environment and Falls among Community-Dwelling Older Adults , 2017, International journal of environmental research and public health.
[51] C. Phillipson,et al. Can global cities be ‘age-friendly cities’? Urban development and ageing populations , 2016 .