{"id":"https://openalex.org/W7204192327","doi":"https://doi.org/10.1007/s10669-026-10125-7","title":"A scenario-based optimization model integrating MILP and uncertainty modeling for CO2 reduction investments in construction","display_name":"A scenario-based optimization model integrating MILP and uncertainty modeling for CO2 reduction investments in construction","publication_year":2026,"publication_date":"2026-08-25","ids":{"openalex":"https://openalex.org/W7204192327","doi":"https://doi.org/10.1007/s10669-026-10125-7"},"language":"en","primary_location":{"id":"doi:10.1007/s10669-026-10125-7","doi":"https://doi.org/10.1007/s10669-026-10125-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10669-026-10125-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10669-026-10125-7.pdf","source":{"id":"https://openalex.org/S162280541","display_name":"Environment Systems & Decisions","issn_l":"0251-1088","issn":["0251-1088","1573-2991","2194-5403","2194-5411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Environment Systems and Decisions","raw_type":"journal-article"},"volume":null,"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10669-026-10125-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5148131698","display_name":"Aletta Lohschelder","orcid":"https://orcid.org/0009-0001-9235-8821","observed_orcids":["https://orcid.org/0009-0001-9235-8821"]},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Aletta Lohschelder","raw_affiliation_strings":["University of Twente, Enschede, The Netherlands"],"raw_orcid":"https://orcid.org/0009-0001-9235-8821","affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019934695","display_name":"Patricia B. Rogetzer","orcid":"https://orcid.org/0000-0001-9582-6320","observed_orcids":["https://orcid.org/0000-0001-9582-6320"]},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Patricia Rogetzer","raw_affiliation_strings":["University of Twente, Enschede, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-9582-6320","affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022702832","display_name":"Rob Bemthuis","orcid":"https://orcid.org/0000-0003-2791-6070","observed_orcids":["https://orcid.org/0000-0003-2791-6070"]},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Rob Bemthuis","raw_affiliation_strings":["University of Twente, Enschede, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0003-2791-6070","affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022702832"],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80076628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11976","display_name":"Capital Investment and Risk Analysis","score":0.5692999958992004,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11976","display_name":"Capital Investment and Risk Analysis","score":0.5692999958992004,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10539","display_name":"Sustainable Supply Chain Management","score":0.07509999722242355,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10471","display_name":"Climate Change Policy and Economics","score":0.07280000299215317,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/co2-emission-reduction","display_name":"CO2 emission reduction","score":0.7910000085830688},{"id":"https://openalex.org/keywords/construction-industry","display_name":"construction industry","score":0.7459999918937683},{"id":"https://openalex.org/keywords/co2-emissions","display_name":"CO2 emissions","score":0.3709999918937683},{"id":"https://openalex.org/keywords/investment-planning","display_name":"investment planning","score":0.6539999842643738},{"id":"https://openalex.org/keywords/scenario-optimization","display_name":"scenario-based optimization","score":0.8970000147819519},{"id":"https://openalex.org/keywords/mixed-integer-linear-programming","display_name":"mixed-integer linear programming","score":0.9520000219345093},{"id":"https://openalex.org/keywords/uncertainty-modeling","display_name":"uncertainty modeling","score":0.8989999890327454},{"id":"https://openalex.org/keywords/monte-carlo-sampling","display_name":"Monte Carlo sampling","score":0.8539999723434448},{"id":"https://openalex.org/keywords/scenario-coverage","display_name":"scenario coverage","score":0.8130000233650208},{"id":"https://openalex.org/keywords/carbon-reporting","display_name":"carbon reporting","score":0.3140000104904175},{"id":"https://openalex.org/keywords/sustainability-certification","display_name":"sustainability certification","score":0.5709999799728394},{"id":"https://openalex.org/keywords/marginal-abatement-cost","display_name":"marginal abatement cost","score":0.6480000019073486}],"concepts":[{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.5848000049591064},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4634999930858612},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.45170000195503235},{"id":"https://openalex.org/C182299520","wikidata":"https://www.wikidata.org/wiki/Q1289588","display_name":"Total cost","level":2,"score":0.4426000118255615},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.43140000104904175},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.42089998722076416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4171999990940094},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.40070000290870667},{"id":"https://openalex.org/C46304622","wikidata":"https://www.wikidata.org/wiki/Q374814","display_name":"Certification","level":2,"score":0.39579999446868896},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.39480000734329224},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.39329999685287476},{"id":"https://openalex.org/C66887028","wikidata":"https://www.wikidata.org/wiki/Q382444","display_name":"Marginal cost","level":2,"score":0.3898000121116638},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3659999966621399},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.3594000041484833},{"id":"https://openalex.org/C2778820799","wikidata":"https://www.wikidata.org/wiki/Q3454688","display_name":"Cost reduction","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C93983250","wikidata":"https://www.wikidata.org/wiki/Q795053","display_name":"Cost estimate","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.33320000767707825},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.31279999017715454},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C2778865806","wikidata":"https://www.wikidata.org/wiki/Q6060850","display_name":"Investment decisions","level":3,"score":0.29330000281333923},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2924000024795532},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.2833000123500824},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2775999903678894},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.2750999927520752},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C169549615","wikidata":"https://www.wikidata.org/wiki/Q939134","display_name":"Return on investment","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C103144560","wikidata":"https://www.wikidata.org/wiki/Q2670999","display_name":"Investment strategy","level":3,"score":0.263700008392334},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C87864170","wikidata":"https://www.wikidata.org/wiki/Q16897780","display_name":"Unit cost","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10669-026-10125-7","doi":"https://doi.org/10.1007/s10669-026-10125-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10669-026-10125-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10669-026-10125-7.pdf","source":{"id":"https://openalex.org/S162280541","display_name":"Environment Systems & Decisions","issn_l":"0251-1088","issn":["0251-1088","1573-2991","2194-5403","2194-5411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Environment Systems and Decisions","raw_type":"journal-article"},{"id":"pmh:oai:ris.utwente.nl:openaire/21b457e5-5465-4882-add4-0592c2fe5ae6","doi":null,"is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/21b457e5-5465-4882-add4-0592c2fe5ae6","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lohschelder, A, Rogetzer, P & Bemthuis, R 2026, 'A scenario-based optimization model integrating MILP and uncertainty modeling for CO 2 reduction investments in construction', Environment Systems and Decisions, vol. 46, no. 3, 65. https://doi.org/10.1007/s10669-026-10125-7","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10669-026-10125-7","doi":"https://doi.org/10.1007/s10669-026-10125-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10669-026-10125-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10669-026-10125-7.pdf","source":{"id":"https://openalex.org/S162280541","display_name":"Environment Systems & Decisions","issn_l":"0251-1088","issn":["0251-1088","1573-2991","2194-5403","2194-5411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Environment Systems and Decisions","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":1.0},{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5378999710083008}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3927299485","display_name":null,"funder_award_id":"5000006252","funder_id":"https://openalex.org/F4320329609","funder_display_name":"Ministry of Infrastructure and Water Management"},{"id":"https://openalex.org/G5235525701","display_name":null,"funder_award_id":"31192090","funder_id":"https://openalex.org/F4320329609","funder_display_name":"Ministry of Infrastructure and Water Management"}],"funders":[{"id":"https://openalex.org/F4320329460","display_name":"TKI DINALOG","ror":"https://ror.org/00522p687"},{"id":"https://openalex.org/F4320329609","display_name":"Ministry of Infrastructure and Water Management","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204192327.pdf","grobid_xml":"https://content.openalex.org/works/W7204192327.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W17209544","https://openalex.org/W66371144","https://openalex.org/W623830416","https://openalex.org/W1499065750","https://openalex.org/W1506366602","https://openalex.org/W1573263466","https://openalex.org/W1594069048","https://openalex.org/W1932418350","https://openalex.org/W1964979259","https://openalex.org/W1970782188","https://openalex.org/W2000432760","https://openalex.org/W2020407132","https://openalex.org/W2027342001","https://openalex.org/W2031636553","https://openalex.org/W2034044767","https://openalex.org/W2045956870","https://openalex.org/W2046107991","https://openalex.org/W2046471511","https://openalex.org/W2049606892","https://openalex.org/W2052264999","https://openalex.org/W2053122339","https://openalex.org/W2077063682","https://openalex.org/W2085866051","https://openalex.org/W2105959853","https://openalex.org/W2112469379","https://openalex.org/W2113043717","https://openalex.org/W2114910279","https://openalex.org/W2116347901","https://openalex.org/W2138766682","https://openalex.org/W2143514150","https://openalex.org/W2144145227","https://openalex.org/W2150765347","https://openalex.org/W2150983561","https://openalex.org/W2161847264","https://openalex.org/W2162602080","https://openalex.org/W2164499670","https://openalex.org/W2167036165","https://openalex.org/W2168508220","https://openalex.org/W2239810687","https://openalex.org/W2406551241","https://openalex.org/W2418875908","https://openalex.org/W2561754379","https://openalex.org/W2754780168","https://openalex.org/W2759611980","https://openalex.org/W2766237696","https://openalex.org/W2778109384","https://openalex.org/W2785629467","https://openalex.org/W2954640182","https://openalex.org/W3035664543","https://openalex.org/W3102671890","https://openalex.org/W3111605943","https://openalex.org/W3148740559","https://openalex.org/W3166982900","https://openalex.org/W3170193093","https://openalex.org/W3190309479","https://openalex.org/W4213174622","https://openalex.org/W4213437886","https://openalex.org/W4234805750","https://openalex.org/W4255600878","https://openalex.org/W4281737348","https://openalex.org/W4311514858","https://openalex.org/W4313424352","https://openalex.org/W4362473785","https://openalex.org/W4376113408","https://openalex.org/W4377108130","https://openalex.org/W4391716557","https://openalex.org/W4393950457","https://openalex.org/W4396228474","https://openalex.org/W4406132325","https://openalex.org/W4408008446","https://openalex.org/W4410634325","https://openalex.org/W4411007209","https://openalex.org/W4411142528","https://openalex.org/W6950286883"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"With":[1],"stricter":[2],"sustainability":[3],"and":[4,32,65,75,97,158,173,181],"reporting":[5,180],"requirements,":[6],"construction":[7],"firms":[8],"face":[9],"increasing":[10],"pressure":[11],"to":[12,83,179],"reduce":[13],"carbon":[14,34],"emissions":[15,39],"while":[16],"maintaining":[17],"cost":[18,81,135,145],"efficiency.":[19],"This":[20],"study":[21],"examines":[22],"a":[23,46],"European":[24],"contractor\u2019s":[25],"company-specific":[26],"objective":[27],"of":[28,61,136,151,163,176],"reducing":[29],"scope":[30],"1":[31],"2":[33,37],"dioxide":[35],"(CO":[36],")":[38],"by":[40,42,188],"50%":[41,107],"2030.":[43],"We":[44],"develop":[45],"scenario-based":[47],"mixed-integer":[48],"linear":[49],"programming":[50],"(MILP)":[51],"framework":[52,168],"in":[53],"which":[54],"Monte":[55],"Carlo":[56],"sampling":[57],"generates":[58],"alternative":[59],"realizations":[60],"uncertain":[62],"investment":[63,73,95,171],"costs":[64],"emissions-reduction":[66],"effects.":[67],"The":[68,88,167],"joint":[69],"formulation":[70],"determines":[71],"scenario-specific":[72,90],"plans":[74,91],"minimizes":[76],"their":[77,98],"average":[78,132,143],"discounted":[79,133],"net":[80,134],"subject":[82],"an":[84,131],"empirical":[85,99,115],"scenario-coverage":[86,116],"criterion.":[87,117],"resulting":[89],"are":[92],"summarized":[93],"through":[94],"frequencies":[96],"scenario":[100],"coverage.":[101],"Under":[102],"the":[103,106,112,122,142,152,164,174],"case":[104],"assumptions,":[105],"target":[108,120,125],"did":[109],"not":[110],"meet":[111],"required":[113],"95%":[114],"A":[118],"45%":[119],"was":[121,146],"highest":[123],"tested":[124],"that":[126,150,162],"met":[127],"this":[128],"criterion,":[129],"with":[130],"\u20ac55,535.":[137],"In":[138],"case-specific":[139],"descriptive":[140],"comparisons,":[141],"reported":[144],"65.7%":[147],"lower":[148,160],"than":[149,161],"Marginal":[153],"Abatement":[154],"Cost":[155],"(MAC)":[156],"schedule":[157],"88.9%":[159],"heuristic":[165],"approach.":[166],"supports":[169],"internal":[170],"planning":[172],"documentation":[175],"actions":[177],"relevant":[178],"certification":[182],"contexts,":[183],"but":[184],"it":[185],"does":[186],"not,":[187],"itself,":[189],"establish":[190],"regulatory":[191],"compliance.":[192]},"counts_by_year":[],"updated_date":"2026-10-15T10:00:46.086208","created_date":"2026-08-26T00:00:00"}