{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/97464"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/97464","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Development of an alternative approach to transit demand modeling","abstract":"Development of the transit systems around the nation faces limitations in funding and strict scrutiny of the proposed projects and their potential impact on urban environment. Potential ridership of the proposed transit route becomes one of the key indicators for analysis of investment projects. Transit demand depends on many multifaceted parameters affecting the mode choice of individual commuters. The urban planning as a field faces the demand in creation of a universal model which would allow to estimate transit demand of the areas of different scales and geographies, be simple to interpret and to replicate in any conditions. The research is discussing the process of development of a model able to predict potential transit demand under provision of a certain level of service based on the socio-economic parameters of the area within walking distance of a transit station. The modeling approach is based on the analysis of real transit ridership of rail stations in Chicago, Los Angeles, and Denver and the parameters possibly contributing to the number of passengers using them. The selection of the variables of the model was based on the most recent research in the field and relied on the multidimensional approach including regional and local scales of socio-economic and transit data. The resulting model included ten independent variables with R2 of 0.59 with multiple statistical tests confirming the assumptions of the model and statistical significance of the results with some limitations in accuracy of predictions. The project included creation of a GIS and online mapping tools for deeper analysis of interconnections between built environment and transit demand. The created Transit Demand Index can be used for the analysis of spatial distribution within metropolitan areas to identify the locations where transit investment would have the most significant outcome. The possible applications of this model include preliminary justification of transit projects, small area plans and corridor studies, long-range transportation plans and implementations in Travel Demand Modeling software.","abstract_html":"Development of the transit systems around the nation faces limitations in funding and strict scrutiny of the proposed projects and their potential impact on urban environment. Potential ridership of the proposed transit route becomes one of the key indicators for analysis of investment projects. Transit demand depends on many multifaceted parameters affecting the mode choice of individual commuters. The urban planning as a field faces the demand in creation of a universal model which would allow to estimate transit demand of the areas of different scales and geographies, be simple to interpret and to replicate in any conditions. The research is discussing the process of development of a model able to predict potential transit demand under provision of a certain level of service based on the socio-economic parameters of the area within walking distance of a transit station. The modeling approach is based on the analysis of real transit ridership of rail stations in Chicago, Los Angeles, and Denver and the parameters possibly contributing to the number of passengers using them. The selection of the variables of the model was based on the most recent research in the field and relied on the multidimensional approach including regional and local scales of socio-economic and transit data. The resulting model included ten independent variables with R2 of 0.59 with multiple statistical tests confirming the assumptions of the model and statistical significance of the results with some limitations in accuracy of predictions. The project included creation of a GIS and online mapping tools for deeper analysis of interconnections between built environment and transit demand. The created Transit Demand Index can be used for the analysis of spatial distribution within metropolitan areas to identify the locations where transit investment would have the most significant outcome. The possible applications of this model include preliminary justification of transit projects, small area plans and corridor studies, long-range transportation plans and implementations in Travel Demand Modeling software.","abstract_has_math":false,"creators":["Chistyakov, Ilya Konstantinovich"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.U.P.","degree_level":"Thesis","degree_discipline":"Urban Planning","degree_department":null,"school":null,"contributors":["Chakraborty, Arnab","Lee, Bumsoo"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-08-10T19:16:05Z","date_published":"2017-08-10T19:16:05Z","updated_at":"2026-07-22T22:24:34Z","subjects":["Urban planning","Transit demand","Land use","Transportation planning","Travel demand modeling (TDM)"],"languages":["en"],"rights":["Copyright 2017 Ilya Chistyakov"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/97464","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Chakraborty, Arnab","Lee, Bumsoo"]},{"key":"dc:creator","label":"Author","values":["Chistyakov, Ilya Konstantinovich"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2017-08-10T19:16:05Z","2017-04-26","2017-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Urban Planning"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.U.P."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Urban planning","Transit demand","Land use","Transportation planning","Travel demand modeling (TDM)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2017 Ilya Chistyakov"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/97464"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Development of the transit systems around the nation faces limitations in funding and strict scrutiny of the proposed projects and their potential impact on urban environment. Potential ridership of the proposed transit route becomes one of the key indicators for analysis of investment projects. Transit demand depends on many multifaceted parameters affecting the mode choice of individual commuters. The urban planning as a field faces the demand in creation of a universal model which would allow to estimate transit demand of the areas of different scales and geographies, be simple to interpret and to replicate in any conditions. The research is discussing the process of development of a model able to predict potential transit demand under provision of a certain level of service based on the socio-economic parameters of the area within walking distance of a transit station. The modeling approach is based on the analysis of real transit ridership of rail stations in Chicago, Los Angeles, and Denver and the parameters possibly contributing to the number of passengers using them. The selection of the variables of the model was based on the most recent research in the field and relied on the multidimensional approach including regional and local scales of socio-economic and transit data. The resulting model included ten independent variables with R2 of 0.59 with multiple statistical tests confirming the assumptions of the model and statistical significance of the results with some limitations in accuracy of predictions. The project included creation of a GIS and online mapping tools for deeper analysis of interconnections between built environment and transit demand. The created Transit Demand Index can be used for the analysis of spatial distribution within metropolitan areas to identify the locations where transit investment would have the most significant outcome. The possible applications of this model include preliminary justification of transit projects, small area plans and corridor studies, long-range transportation plans and implementations in Travel Demand Modeling software.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-08-10 without embargo terms","The student, Ilya Chistyakov, accepted the attached license on 2017-04-25 at 03:28.","The student, Ilya Chistyakov, submitted this Thesis for approval on 2017-04-25 at 03:35.","This Thesis was approved for publication on 2017-04-26 at 18:03.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11031 on 2017-08-10 at 13:46:10","Made available in DSpace on 2017-08-10T19:16:05Z (GMT). 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Transit demand depends on many multifaceted parameters affecting the mode choice of individual commuters. The urban planning as a field faces the demand in creation of a universal model which would allow to estimate transit demand of the areas of different scales and geographies, be simple to interpret and to replicate in any conditions. The research is discussing the process of development of a model able to predict potential transit demand under provision of a certain level of service based on the socio-economic parameters of the area within walking distance of a transit station. The modeling approach is based on the analysis of real transit ridership of rail stations in Chicago, Los Angeles, and Denver and the parameters possibly contributing to the number of passengers using them. The selection of the variables of the model was based on the most recent research in the field and relied on the multidimensional approach including regional and local scales of socio-economic and transit data. The resulting model included ten independent variables with R2 of 0.59 with multiple statistical tests confirming the assumptions of the model and statistical significance of the results with some limitations in accuracy of predictions. The project included creation of a GIS and online mapping tools for deeper analysis of interconnections between built environment and transit demand. The created Transit Demand Index can be used for the analysis of spatial distribution within metropolitan areas to identify the locations where transit investment would have the most significant outcome. The possible applications of this model include preliminary justification of transit projects, small area plans and corridor studies, long-range transportation plans and implementations in Travel Demand Modeling software.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-08-10 without embargo terms","The student, Ilya Chistyakov, accepted the attached license on 2017-04-25 at 03:28.","The student, Ilya Chistyakov, submitted this Thesis for approval on 2017-04-25 at 03:35.","This Thesis was approved for publication on 2017-04-26 at 18:03.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11031 on 2017-08-10 at 13:46:10","Made available in DSpace on 2017-08-10T19:16:05Z (GMT). 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