Predicting subjective measures of walkability index from objective measures using artificial neural networks

[1]  M. Southworth.  Walkable Suburbs?: An Evaluation of Neotraditional Communities at the Urban Edge , 1997 .

[2]  J. Sallis,et al.  Neighborhood-based differences in physical activity: an environment scale evaluation. , 2003, American journal of public health.

[3]  S. Raudenbush,et al.  Relationship between Urban Sprawl and Physical Activity, Obesity, and Morbidity , 2003, American journal of health promotion : AJHP.

[4]  L. Frank,et al.  Multiple Impacts of the Built Environment on Public Health: Walkable Places and the Exposure to Air Pollution , 2005 .

[5]  M. Southworth.  Designing the Walkable City , 2005 .

[6]  B. Popkin,et al.  Inequality in the Built Environment Underlies Key Health Disparities in Physical Activity and Obesity , 2006, Pediatrics.

[7]  Becky P.Y. Loo,et al.  Sustainable Urban Transportation: Concepts, Policies, and Methodologies , 2006 .

[8]  A. Herring,et al.  Exploring Associations between Physical Activity and Perceived and Objective Measures of the Built Environment , 2007, Journal of Urban Health.

[9]  Marc Schlossberg.  From TIGER to Audit Instruments , 2006 .

[10]  Reid Ewing,et al.  Identifying and Measuring Urban Design Qualities Related to Walkability. , 2006, Journal of physical activity & health.

[11]  B. Saelens,et al.  Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity? , 2007, Social science & medicine.

[12]  R. Ewing,et al.  The built environment and obesity. , 2007, Epidemiologic reviews.

[13]  Matthew A. Turner,et al.  In Economics and Social Sciences Working Papers Series Fat City: Questioning the Relationship between Urban Sprawl and Obesity Fat City: Questioning the Relationship between Urban Sprawl and Obesity , 2022 .

[14]  A. Plantinga,et al.  The Association between Urban Sprawl and Obesity: Is it a Two-Way Street? , 2007 .

[15]  A. Bauman,et al.  Walkability of local communities: using geographic information systems to objectively assess relevant environmental attributes. , 2007, Health & place.

[16]  F. Lotfi,et al.  Assessment of new towns self sufficiency based on working and non-working trips by mathematical models , 2007 .

[17]  Urban Environments and Walkability: Definition and Calculation of a Walkability Index for Toronto, Canada. , 2008 .

[18]  Ken R. Smith,et al.  Mixed land use and walkability: Variations in land use measures and relationships with BMI, overweight, and obesity. , 2009, Health & place.

[19]  Subhrajit Guhathakurta,et al.  The Impact of Subregional Variations in Urban Sprawl on the Prevalence of Obesity and Related Morbidity , 2009 .

[20]  Jui-Chen Huang,et al.  Remote health monitoring adoption model based on artificial neural networks , 2010, Expert Syst. Appl..

[21]  A. Mellit,et al.  A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy , 2010 .

[22]  Yuji Murayama,et al.  Modelling of urban green space walkability: Eco-friendly walk score calculator , 2011, Comput. Environ. Urban Syst..

[23]  Sebastian Seelig,et al.  A master plan for low carbon and resilient housing: The 35 ha area in Hashtgerd New Town, Iran , 2011 .

[24]  Rozmi Ismail,et al.  The use of non-motorized for sustainable transportation in Malaysia , 2011 .

[25]  F. Mokhatab Rafiei,et al.  Financial health prediction models using artificial neural networks, genetic algorithm and multivariate discriminant analysis: Iranian evidence , 2011, Expert Syst. Appl..

[26]  An objective index of walkability for the Sydney metropolitan region , 2012 .

[27]  Alan Shiell,et al.  The relationship between cluster-analysis derived walkability and local recreational and transportation walking among Canadian adults. , 2012, Health & place.

[28]  Z. Dobesová,et al.  Walkability Index in the Urban Planning: A Case Study in Olomouc City , 2012 .

[29]  M. Mirmoghtadaee.  The relationship between land use, socio-economic characteristics of inhabitants and travel demand in new towns – a case study of Hashtgerd New Town (Iran) , 2012 .

[30]  Graeme Hugo,et al.  Is walkability associated with a lower cardiometabolic risk? , 2013, Health & place.

[31]  Alejandra Medina Flintsch,et al.  A rule-based neural network approach to model driver naturalistic behavior in traffic , 2013 .

[32]  Mohammad H. Vahidnia,et al.  Modeling the spread of spatio-temporal phenomena through the incorporation of ANFIS and genetically controlled cellular automata: a case study on forest fire , 2013, Int. J. Digit. Earth.

[33]  Nancy A Ross,et al.  Neighborhood walkability: field validation of geographic information system measures. , 2013, American journal of preventive medicine.

[34]  Hossein Bahrainy,et al.  The impact of urban design features and qualities on walkability and health in under-construction environments: The case of Hashtgerd New Town in Iran , 2013 .

[35]  Kevin Manaugh,et al.  What is mixed use? Presenting an interaction method for measuring land use mix , 2013 .

[36]  B. Giles-Corti,et al.  School site walkability and active school transport - association, mediation and moderation , 2014 .

[37]  Joe Weber,et al.  Non-motorized transport and university populations: an analysis of connectivity and network perceptions , 2014 .

[38]  Vedagiri Perumal,et al.  Evaluation of pedestrian mid-block road crossing behaviour using artificial neural network , 2014 .

[39]  Sybil Derrible,et al.  Development and application of the Pedestrian Environment Index (PEI) , 2014 .

[40]  Fiona Bull,et al.  The impact of neighborhood walkability on walking: does it differ across adult life stage and does neighborhood buffer size matter? , 2014, Health & place.

[41]  Development and evaluation of a walkability index (Case Study: districts of the Ghom city) , 2015 .

[42]  Qi Li,et al.  Artificial neural networks forecasting of PM2.5 pollution using air mass trajectory based geographic model and wavelet transformation , 2015 .

[43]  Rasit Ata,et al.  Artificial neural networks applications in wind energy systems: a review , 2015 .

[44]  Mohammad Taleai,et al.  Integration of GIS, remote sensing and Multi-Criteria Evaluation tools in the search for healthy walking paths , 2018 .