{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/110800"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/110800","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Examining the neighborhood effect averaging problem (NEAP) in people’s exposure to mobility-dependent environmental factors: A spatiotemporal modeling approach","abstract":"The neighborhood effect averaging problem (NEAP) is a major methodological problem that might affect the accuracy of assessments of individual exposure to mobility-dependent environmental factors, such as air/noise pollution, traffic congestion, green/blue spaces, healthy food environments, ethnic exposures, and deprived/disadvantaged neighborhoods. Systematic investigations of the NEAP have been urgently needed to advance and enrich our fundamental understanding of the role of human daily mobility in studies on neighborhood effects. To fill these significant gaps, this doctoral dissertation provides an in-depth examination of how the NEAP operates when assessing individuals’ exposure to mobility-dependent environmental factors, such as air pollution and traffic congestion. It also investigates the effects of the NEAP on the evaluation of sociodemographic disparities in people’s exposures. To achieve the research goals, I employ advanced GIScience methods and individual-level activity-travel diary data of about 4000 participants living in Los Angeles, California. First, the results indicate that the NEAP exists when assessing individual exposures in the study area. Specifically, individuals’ mobility-based exposures tend toward the mean level of the participants or population of a study area when compared to their residence-based exposures. Second, high-income, younger, male, and working participants are associated with higher levels of neighborhood effect averaging because of their higher levels of daily mobility. Third, the results indicate that assessments of sociodemographic disparities in people’s exposures to mobility-dependent environmental factors might be erroneous when people’s daily mobility is ignored because of the different manifestations of neighborhood effect averaging for different social and racial groups. Lastly, the results reveal that non-workers are doubly disadvantaged in air pollution exposures: They have significantly lower odds of experiencing downward averaging that could have attenuated their high exposures experienced in their residential neighborhoods while traveling to other non-residential neighborhoods. The results of my doctoral dissertation significantly contribute to the literature on the neighborhood effect as well as provide important implications for public policy and planning formulations.","abstract_html":"The neighborhood effect averaging problem (NEAP) is a major methodological problem that might affect the accuracy of assessments of individual exposure to mobility-dependent environmental factors, such as air/noise pollution, traffic congestion, green/blue spaces, healthy food environments, ethnic exposures, and deprived/disadvantaged neighborhoods. Systematic investigations of the NEAP have been urgently needed to advance and enrich our fundamental understanding of the role of human daily mobility in studies on neighborhood effects. To fill these significant gaps, this doctoral dissertation provides an in-depth examination of how the NEAP operates when assessing individuals’ exposure to mobility-dependent environmental factors, such as air pollution and traffic congestion. It also investigates the effects of the NEAP on the evaluation of sociodemographic disparities in people’s exposures. To achieve the research goals, I employ advanced GIScience methods and individual-level activity-travel diary data of about 4000 participants living in Los Angeles, California. First, the results indicate that the NEAP exists when assessing individual exposures in the study area. Specifically, individuals’ mobility-based exposures tend toward the mean level of the participants or population of a study area when compared to their residence-based exposures. Second, high-income, younger, male, and working participants are associated with higher levels of neighborhood effect averaging because of their higher levels of daily mobility. Third, the results indicate that assessments of sociodemographic disparities in people’s exposures to mobility-dependent environmental factors might be erroneous when people’s daily mobility is ignored because of the different manifestations of neighborhood effect averaging for different social and racial groups. Lastly, the results reveal that non-workers are doubly disadvantaged in air pollution exposures: They have significantly lower odds of experiencing downward averaging that could have attenuated their high exposures experienced in their residential neighborhoods while traveling to other non-residential neighborhoods. The results of my doctoral dissertation significantly contribute to the literature on the neighborhood effect as well as provide important implications for public policy and planning formulations.","abstract_has_math":false,"creators":["Kim, Junghwan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Geography","degree_department":null,"school":null,"contributors":["Kwan, Mei-Po","McLafferty, Sara","Cidell, Julie","Lee, Bumsoo"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-09-17T04:04:10Z","date_published":"2021-09-17T04:04:10Z","updated_at":"2026-07-22T22:24:52Z","subjects":["air pollution","environmental inequality","human mobility","Los Angeles","neighborhood effect","neighborhood effect averaging problem (NEAP)","traffic congestion"],"languages":["en"],"rights":["Copyright 2021 Junghwan Kim"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/110800","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kwan, Mei-Po","McLafferty, Sara","Cidell, Julie","Lee, Bumsoo"]},{"key":"dc:creator","label":"Author","values":["Kim, Junghwan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-09-17T04:04:10Z","2023-09-17T04:07:01Z","2021-04-12","2021-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Geography"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["air pollution","environmental inequality","human mobility","Los Angeles","neighborhood effect","neighborhood effect averaging problem (NEAP)","traffic congestion"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Junghwan Kim"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/110800"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The neighborhood effect averaging problem (NEAP) is a major methodological problem that might affect the accuracy of assessments of individual exposure to mobility-dependent environmental factors, such as air/noise pollution, traffic congestion, green/blue spaces, healthy food environments, ethnic exposures, and deprived/disadvantaged neighborhoods. Systematic investigations of the NEAP have been urgently needed to advance and enrich our fundamental understanding of the role of human daily mobility in studies on neighborhood effects. To fill these significant gaps, this doctoral dissertation provides an in-depth examination of how the NEAP operates when assessing individuals’ exposure to mobility-dependent environmental factors, such as air pollution and traffic congestion. It also investigates the effects of the NEAP on the evaluation of sociodemographic disparities in people’s exposures. To achieve the research goals, I employ advanced GIScience methods and individual-level activity-travel diary data of about 4000 participants living in Los Angeles, California. First, the results indicate that the NEAP exists when assessing individual exposures in the study area. Specifically, individuals’ mobility-based exposures tend toward the mean level of the participants or population of a study area when compared to their residence-based exposures. Second, high-income, younger, male, and working participants are associated with higher levels of neighborhood effect averaging because of their higher levels of daily mobility. Third, the results indicate that assessments of sociodemographic disparities in people’s exposures to mobility-dependent environmental factors might be erroneous when people’s daily mobility is ignored because of the different manifestations of neighborhood effect averaging for different social and racial groups. Lastly, the results reveal that non-workers are doubly disadvantaged in air pollution exposures: They have significantly lower odds of experiencing downward averaging that could have attenuated their high exposures experienced in their residential neighborhoods while traveling to other non-residential neighborhoods. The results of my doctoral dissertation significantly contribute to the literature on the neighborhood effect as well as provide important implications for public policy and planning formulations.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-05-01","The student, Junghwan Kim, accepted the attached license on 2021-04-09 at 07:37.","The student, Junghwan Kim, submitted this Dissertation for approval on 2021-04-09 at 07:39.","This Dissertation was approved for publication on 2021-04-12 at 10:58.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16265 on 2021-09-16 at 20:08:22","Made available in DSpace on 2021-09-17T04:04:10Z (GMT). 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Systematic investigations of the NEAP have been urgently needed to advance and enrich our fundamental understanding of the role of human daily mobility in studies on neighborhood effects. To fill these significant gaps, this doctoral dissertation provides an in-depth examination of how the NEAP operates when assessing individuals’ exposure to mobility-dependent environmental factors, such as air pollution and traffic congestion. It also investigates the effects of the NEAP on the evaluation of sociodemographic disparities in people’s exposures. To achieve the research goals, I employ advanced GIScience methods and individual-level activity-travel diary data of about 4000 participants living in Los Angeles, California. First, the results indicate that the NEAP exists when assessing individual exposures in the study area. Specifically, individuals’ mobility-based exposures tend toward the mean level of the participants or population of a study area when compared to their residence-based exposures. Second, high-income, younger, male, and working participants are associated with higher levels of neighborhood effect averaging because of their higher levels of daily mobility. Third, the results indicate that assessments of sociodemographic disparities in people’s exposures to mobility-dependent environmental factors might be erroneous when people’s daily mobility is ignored because of the different manifestations of neighborhood effect averaging for different social and racial groups. Lastly, the results reveal that non-workers are doubly disadvantaged in air pollution exposures: They have significantly lower odds of experiencing downward averaging that could have attenuated their high exposures experienced in their residential neighborhoods while traveling to other non-residential neighborhoods. The results of my doctoral dissertation significantly contribute to the literature on the neighborhood effect as well as provide important implications for public policy and planning formulations.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-05-01","The student, Junghwan Kim, accepted the attached license on 2021-04-09 at 07:37.","The student, Junghwan Kim, submitted this Dissertation for approval on 2021-04-09 at 07:39.","This Dissertation was approved for publication on 2021-04-12 at 10:58.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16265 on 2021-09-16 at 20:08:22","Made available in DSpace on 2021-09-17T04:04:10Z (GMT). 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