dc.contributor.advisor | Abu-Lebdeh, Ghassan | |
dc.contributor.author | AlQahtani, Mohamed Tarish | |
dc.date.accessioned | 2019-09-03T08:17:27Z | |
dc.date.available | 2019-09-03T08:17:27Z | |
dc.date.issued | 2019-04 | |
dc.identifier.other | 35.232-2019.32 | |
dc.identifier.uri | http://hdl.handle.net/11073/16478 | |
dc.description | A Master of Science thesis in Civil Engineering by Mohamed Tarish AlQahtani entitled, “An Investigation of Links Between Transport Choices and Health: A Case Study in the UAE”, submitted in April 2019. Thesis advisor is Dr. Ghassan Abu-Lebdeh. Soft and hard copy available. | en_US |
dc.description.abstract | This research examines the relationship between transport/travel choices-- as default decisions that are decidedly influenced by the built environment-- and public health in the UAE. The objective of the research is two-fold: 1) evaluate the links between travel/transport choices and public health in working adults and college-age residents of the UAE, and 2) develop meaningful correlations between specific public health markers and transport choices and socio-economic characteristics. A self-administered survey was used to collect information on lifestyle with an emphasis on travel/transport choices and on specific health outcomes as Non-contagious illnesses (also known as modernity illnesses). 1009 persons participated in the survey. Among the more pronounced observations is the high proportion of commuters exposed to traffic congestion (76%), and those reporting stress (72%). Back-propagation neural network models were developed to help predict health outcomes from travel/transport choices and socio-economic characteristics. Over thirty models usable were developed which can be integrated into a transport planning/policy framework thus enabling direct inclusion of public health outcomes in the transportation planning and/or decision-making process. Predictive quality and strength of the models were assessed using the coefficient of determination, R2, distribution of error (residuals vs. independent variables), and the mean squared error (MSE). | en_US |
dc.description.sponsorship | College of Engineering | en_US |
dc.description.sponsorship | Department of Civil Engineering | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | Master of Science in Civil Engineering (MSCE) | en_US |
dc.subject | UAE | en_US |
dc.subject | Transportation | en_US |
dc.subject | Public health | en_US |
dc.subject | Neural network | en_US |
dc.subject | R2 | en_US |
dc.subject | Non-contagious illnesses | en_US |
dc.title | An Investigation of Links Between Transport Choices and Health: A Case Study in the UAE | en_US |
dc.type | Thesis | en_US |