{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/78616"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/78616","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Correlated Grouped Random Parameters Hazard-Based Duration Analysis of Elderly Travel Times and Distances","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Jordan, Gary; 0000-0003-1032-5434"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Anastasopoulos, Panagiotis","Civil, Structural and Environmental Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-10-26T02:56:50Z","date_published":"2018-10-26T02:56:50Z","updated_at":"2026-07-27T19:05:14Z","subjects":["transportation"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/78616","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Anastasopoulos, Panagiotis","Civil, Structural and Environmental Engineering"]},{"key":"dc:creator","label":"Author","values":["Jordan, Gary; 0000-0003-1032-5434"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-10-26T02:56:50Z","2018","2018-08-10 10:30:37"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["transportation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/78616"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","Populations around the world are steadily getting older. Ageing populations present numerous challenges for national, regional, and local transportation policy makers, planners and engineers. This dissertation extracts travel data from the 2009 National Household Travel Survey for three age groups – working adults (ages 25 through 64), young seniors (age 65 through 74), and old seniors (age 75 and older) – from the New York Consolidated Metropolitan Statistical Area (CMSA) and the Buffalo-Niagara Metropolitan Statistical Area (MSA). Using hazard-based duration analysis the effects of household, traveler, travel mode, and travel purpose characteristics on temporal (time-based) and spatial (distance-based) trip durations are analyzed. Assessment of such effects can be used to identify and quantify mobility gaps for travelers, especially marginalized groups such as the elderly and disabled. To account for unobserved heterogeneity in underlying hazard functions and across observations, as well as unobserved effects due to correlation among random parameters, a correlated grouped random parameters approach is employed. To the author’s knowledge, this is the first study to use this statistical modeling framework to analyze both travel times and travel distances. Results indicate that the use of a correlated grouped random parameters approach provides a superior statistical fit to corresponding models using correlated random parameters, grouped random parameters, random parameters, random effects, and fixed parameters. The findings also reveal that young and old seniors are not a homogeneous group, and that the underlying distribution characterizing the hazard function for each age group is different. To that end, separate models are estimated for working adults, young seniors, and old seniors. With respect to temporal and spatial durations, the dissertation reveals apparent disparities associated with location, age, gender, birth nationality, ethnicity, medical condition, and education level. The dissertation also reveals individual that explanatory factors may manifest their influence upon corresponding temporal and spatial durations in markedly distinctive ways."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Correlated Grouped Random Parameters Hazard-Based Duration Analysis of Elderly Travel Times and Distances"]}]}],"canonical_facts":{"dc:contributor":["Anastasopoulos, Panagiotis","Civil, Structural and Environmental Engineering"],"dc:creator":["Jordan, Gary; 0000-0003-1032-5434"],"dc:date":["2018-10-26T02:56:50Z","2018","2018-08-10 10:30:37"],"dc:description":["Ph.D.","Populations around the world are steadily getting older. Ageing populations present numerous challenges for national, regional, and local transportation policy makers, planners and engineers. This dissertation extracts travel data from the 2009 National Household Travel Survey for three age groups – working adults (ages 25 through 64), young seniors (age 65 through 74), and old seniors (age 75 and older) – from the New York Consolidated Metropolitan Statistical Area (CMSA) and the Buffalo-Niagara Metropolitan Statistical Area (MSA). Using hazard-based duration analysis the effects of household, traveler, travel mode, and travel purpose characteristics on temporal (time-based) and spatial (distance-based) trip durations are analyzed. Assessment of such effects can be used to identify and quantify mobility gaps for travelers, especially marginalized groups such as the elderly and disabled. To account for unobserved heterogeneity in underlying hazard functions and across observations, as well as unobserved effects due to correlation among random parameters, a correlated grouped random parameters approach is employed. To the author’s knowledge, this is the first study to use this statistical modeling framework to analyze both travel times and travel distances. Results indicate that the use of a correlated grouped random parameters approach provides a superior statistical fit to corresponding models using correlated random parameters, grouped random parameters, random parameters, random effects, and fixed parameters. The findings also reveal that young and old seniors are not a homogeneous group, and that the underlying distribution characterizing the hazard function for each age group is different. To that end, separate models are estimated for working adults, young seniors, and old seniors. With respect to temporal and spatial durations, the dissertation reveals apparent disparities associated with location, age, gender, birth nationality, ethnicity, medical condition, and education level. The dissertation also reveals individual that explanatory factors may manifest their influence upon corresponding temporal and spatial durations in markedly distinctive ways."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/78616"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["transportation"],"dc:title":["Correlated Grouped Random Parameters Hazard-Based Duration Analysis of Elderly Travel Times and Distances"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:14Z"}