{"id":{"repo_id":"cornell","oai_identifier":"oai:ecommons.cornell.edu:1813/67397"},"canonical_url":"https://search.dev.ndltd.org/etd/cornell/oai:ecommons.cornell.edu:1813/67397","repository":{"repo_id":"cornell","name":"Cornell University","base_url":"https://ecommons.cornell.edu/server/oai/request"},"display":{"title":"HOW URBAN DEVELOPMENT CONTRIBUTES TO THERMAL ENVIRONMENT VARIATION ---- A CASE STUDY IN NEW YORK CITY","abstract":"The urban anthropogenic heat flux (AHF), which is one integral part of the deteriorating urban thermal environment, is seldom discussed for its ambiguity to accurately measure over heterogeneous land surfaces. Here, relying on remote sensing technology and meteorological models, AHF is estimated and illustrated on April 18, 2017 over NYC area. Furthermore, a few independent variables are developed in order to possibly explain the variations of anthropogenic heat flux, including road density, impervious surface area percent, building shape coefficient, standard deviation of building height and street canyon aspect ratio. On both community district and census tract level, four of the five variables (road density, impervious surface area percent, standard deviation of building height and street canyon aspect ratio) demonstrate steady significant linear relationships with anthropogenic heat flux. A final spatial error model suggests that 71.8% of AHF variation can be explained after spatial error term was incorporated. The results implicate that some planning and designing indices associated with urban developments like buildings and roads should be taken into consideration for a benign thermal environment. In this case, a compact sub-city level spatial unit with diversified building heights and minimum exploitation to pervious land is a good example in terms of AHF mitigation.","abstract_html":"The urban anthropogenic heat flux (AHF), which is one integral part of the deteriorating urban thermal environment, is seldom discussed for its ambiguity to accurately measure over heterogeneous land surfaces. Here, relying on remote sensing technology and meteorological models, AHF is estimated and illustrated on April 18, 2017 over NYC area. Furthermore, a few independent variables are developed in order to possibly explain the variations of anthropogenic heat flux, including road density, impervious surface area percent, building shape coefficient, standard deviation of building height and street canyon aspect ratio. On both community district and census tract level, four of the five variables (road density, impervious surface area percent, standard deviation of building height and street canyon aspect ratio) demonstrate steady significant linear relationships with anthropogenic heat flux. A final spatial error model suggests that 71.8% of AHF variation can be explained after spatial error term was incorporated. The results implicate that some planning and designing indices associated with urban developments like buildings and roads should be taken into consideration for a benign thermal environment. In this case, a compact sub-city level spatial unit with diversified building heights and minimum exploitation to pervious land is a good example in terms of AHF mitigation.","abstract_has_math":false,"creators":["Yu, Zhou"],"institution":"Cornell University","degree_name":"M.S., Regional Science","degree_level":"Master of Science","degree_discipline":"Regional Science","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":["Schmidt, Stephan J."],"year":2019,"date_issued":"2019-05-30","date_published":"2019-05-30","updated_at":"2026-07-24T01:49:08Z","subjects":["Anthropogenic Heat","Urban Planning and Designing","Regional studies","Remote sensing","Environmental studies","Atmospheric sciences"],"languages":["en_US"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.7298/ym19-t577"],"render_values":[{"text":"https://doi.org/10.7298/ym19-t577","href":"https://doi.org/10.7298/ym19-t577","code":true}]},{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["ProQuest Submission ID: 10559","ProQuest Publication ID: 13884104"],"render_values":[{"text":"ProQuest Submission ID: 10559","href":null,"code":true},{"text":"ProQuest Publication ID: 13884104","href":null,"code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/1813/67397","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Schmidt, Stephan J."]},{"key":"dc:creator","label":"Author","values":["Yu, Zhou"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2019-10-15T15:31:03Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2021-06-05T06:00:17Z"]},{"key":"dc:date.issued","label":"Date","values":["2019-05-30"]},{"key":"dc:type","label":"Dc Type","values":["dissertation or thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Regional Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master of Science"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S., Regional Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Cornell University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Anthropogenic Heat","Urban Planning and Designing","Regional studies","Remote sensing","Environmental studies","Atmospheric sciences"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en_US"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.7298/ym19-t577"]},{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["ProQuest Submission ID: 10559","ProQuest Publication ID: 13884104"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1813/67397"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The urban anthropogenic heat flux (AHF), which is one integral part of the deteriorating urban thermal environment, is seldom discussed for its ambiguity to accurately measure over heterogeneous land surfaces. Here, relying on remote sensing technology and meteorological models, AHF is estimated and illustrated on April 18, 2017 over NYC area. Furthermore, a few independent variables are developed in order to possibly explain the variations of anthropogenic heat flux, including road density, impervious surface area percent, building shape coefficient, standard deviation of building height and street canyon aspect ratio. On both community district and census tract level, four of the five variables (road density, impervious surface area percent, standard deviation of building height and street canyon aspect ratio) demonstrate steady significant linear relationships with anthropogenic heat flux. A final spatial error model suggests that 71.8% of AHF variation can be explained after spatial error term was incorporated. The results implicate that some planning and designing indices associated with urban developments like buildings and roads should be taken into consideration for a benign thermal environment. In this case, a compact sub-city level spatial unit with diversified building heights and minimum exploitation to pervious land is a good example in terms of AHF mitigation."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["HOW URBAN DEVELOPMENT CONTRIBUTES TO THERMAL ENVIRONMENT VARIATION ---- A CASE STUDY IN NEW YORK CITY"]}]}],"canonical_facts":{"dc:contributor.committeemember":["Schmidt, Stephan J."],"dc:creator":["Yu, Zhou"],"dc:date.accessioned":["2019-10-15T15:31:03Z"],"dc:date.available":["2021-06-05T06:00:17Z"],"dc:date.issued":["2019-05-30"],"dc:description.abstract":["The urban anthropogenic heat flux (AHF), which is one integral part of the deteriorating urban thermal environment, is seldom discussed for its ambiguity to accurately measure over heterogeneous land surfaces. Here, relying on remote sensing technology and meteorological models, AHF is estimated and illustrated on April 18, 2017 over NYC area. Furthermore, a few independent variables are developed in order to possibly explain the variations of anthropogenic heat flux, including road density, impervious surface area percent, building shape coefficient, standard deviation of building height and street canyon aspect ratio. On both community district and census tract level, four of the five variables (road density, impervious surface area percent, standard deviation of building height and street canyon aspect ratio) demonstrate steady significant linear relationships with anthropogenic heat flux. A final spatial error model suggests that 71.8% of AHF variation can be explained after spatial error term was incorporated. The results implicate that some planning and designing indices associated with urban developments like buildings and roads should be taken into consideration for a benign thermal environment. In this case, a compact sub-city level spatial unit with diversified building heights and minimum exploitation to pervious land is a good example in terms of AHF mitigation."],"dc:format.mimetype":["application/pdf"],"dc:identifier.doi":["https://doi.org/10.7298/ym19-t577"],"dc:identifier.other":["ProQuest Submission ID: 10559","ProQuest Publication ID: 13884104"],"dc:identifier.uri":["https://hdl.handle.net/1813/67397"],"dc:language.iso":["en_US"],"dc:subject":["Anthropogenic Heat","Urban Planning and Designing","Regional studies","Remote sensing","Environmental studies","Atmospheric sciences"],"dc:title":["HOW URBAN DEVELOPMENT CONTRIBUTES TO THERMAL ENVIRONMENT VARIATION ---- A CASE STUDY IN NEW YORK CITY"],"dc:type":["dissertation or thesis"],"thesis:degree_discipline":["Regional Science"],"thesis:degree_level":["Master of Science"],"thesis:degree_name":["M.S., Regional Science"],"thesis:institution_name":["Cornell University"]},"updated_at":"2026-07-24T01:49:08Z"}