{"id":"https://openalex.org/W2945804344","doi":null,"title":"Alternative Paradigms for Synthesizing Household and Person-level Attributes Jointly","display_name":"Alternative Paradigms for Synthesizing Household and Person-level Attributes Jointly","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2945804344","mag":"2945804344"},"language":"en","primary_location":{"id":"pmh:oai:opencommons.uconn.edu:gs_theses-2477","doi":null,"is_oa":true,"landing_page_url":"https://opencommons.uconn.edu/gs_theses/1370","pdf_url":"https://opencommons.uconn.edu/gs_theses/1370","source":{"id":"https://openalex.org/S4306401180","display_name":"OpenCommons at University of Connecticut (University of Connecticut)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I140172145","host_organization_name":"University of Connecticut","host_organization_lineage":["https://openalex.org/I140172145"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Master's Theses","raw_type":"text"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opencommons.uconn.edu/gs_theses/1370","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017873012","display_name":"Amit Ranjan Mondal","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Amit Ranjan Mondal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5017873012"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14509","display_name":"demographic modeling and climate adaptation","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14509","display_name":"demographic modeling and climate adaptation","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/population-synthesis","display_name":"population synthesis","score":0.9290000200271606},{"id":"https://openalex.org/keywords/synthetic-population","display_name":"synthetic population","score":0.6769999861717224},{"id":"https://openalex.org/keywords/hidden-markov-models","display_name":"hidden Markov models","score":0.8370000123977661},{"id":"https://openalex.org/keywords/microsimulation","display_name":"microsimulation","score":0.6639999747276306},{"id":"https://openalex.org/keywords/land-use-modeling","display_name":"land use modeling","score":0.6610000133514404},{"id":"https://openalex.org/keywords/travel-demand-modeling","display_name":"travel demand modeling","score":0.9900000095367432},{"id":"https://openalex.org/keywords/census-block-groups","display_name":"census block groups","score":0.6589999794960022},{"id":"https://openalex.org/keywords/demographic-heterogeneity","display_name":"demographic heterogeneity","score":0.41200000047683716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48044154047966003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33014023303985596}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:opencommons.uconn.edu:gs_theses-2477","doi":null,"is_oa":true,"landing_page_url":"https://opencommons.uconn.edu/gs_theses/1370","pdf_url":"https://opencommons.uconn.edu/gs_theses/1370","source":{"id":"https://openalex.org/S4306401180","display_name":"OpenCommons at University of Connecticut (University of Connecticut)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I140172145","host_organization_name":"University of Connecticut","host_organization_lineage":["https://openalex.org/I140172145"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Master's Theses","raw_type":"text"},{"id":"pmh:oai:digitalcommons.lib.uconn.edu:gs_theses-2477","doi":null,"is_oa":false,"landing_page_url":"https://digitalcommons.lib.uconn.edu/gs_theses/1370","pdf_url":null,"source":{"id":"https://openalex.org/S4306401180","display_name":"OpenCommons at University of Connecticut (University of Connecticut)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I140172145","host_organization_name":"University of Connecticut","host_organization_lineage":["https://openalex.org/I140172145"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Master's Theses","raw_type":"text"},{"id":"mag:2945804344","doi":null,"is_oa":false,"landing_page_url":"https://opencommons.uconn.edu/cgi/viewcontent.cgi?article=2477&context=gs_theses","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:opencommons.uconn.edu:gs_theses-2477","doi":null,"is_oa":true,"landing_page_url":"https://opencommons.uconn.edu/gs_theses/1370","pdf_url":"https://opencommons.uconn.edu/gs_theses/1370","source":{"id":"https://openalex.org/S4306401180","display_name":"OpenCommons at University of Connecticut (University of Connecticut)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I140172145","host_organization_name":"University of Connecticut","host_organization_lineage":["https://openalex.org/I140172145"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Master's Theses","raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2945804344.pdf","grobid_xml":"https://content.openalex.org/works/W2945804344.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1636244751","https://openalex.org/W1976521104","https://openalex.org/W1981806743","https://openalex.org/W1983886273","https://openalex.org/W1999227197","https://openalex.org/W2005423095","https://openalex.org/W2005660297","https://openalex.org/W2015201073","https://openalex.org/W2052870840","https://openalex.org/W2077860232","https://openalex.org/W2088593023","https://openalex.org/W2090089553","https://openalex.org/W2107521066","https://openalex.org/W2121097743","https://openalex.org/W2125838338","https://openalex.org/W2136160400","https://openalex.org/W2145518506","https://openalex.org/W2151233483","https://openalex.org/W2152180600","https://openalex.org/W2345208044","https://openalex.org/W2549033870","https://openalex.org/W2808073915","https://openalex.org/W3007489412","https://openalex.org/W4245668478"],"related_works":["https://openalex.org/W1564108952","https://openalex.org/W154346590","https://openalex.org/W2808127757","https://openalex.org/W2194345157","https://openalex.org/W2032687307","https://openalex.org/W2077860232","https://openalex.org/W774316092","https://openalex.org/W3007489412","https://openalex.org/W200368622","https://openalex.org/W630044313"],"abstract_inverted_index":{"In":[0,60],"order":[1],"to":[2,35,86,103,231],"apply":[3],"microsimulation-based":[4],"models":[5],"of":[6,92,110,147,150,160,190],"land":[7],"use":[8],"and":[9,13,32,54,90,106,142,155,184,206,221],"travel":[10],"demand,":[11],"socio-economic":[12],"demographic":[14],"attributes":[15,224],"are":[16,45,153],"required":[17],"for":[18,51,55,67,117,157,173,216],"each":[19],"individual":[20],"in":[21,96,177],"a":[22,64,72,233],"region.":[23],"This":[24,39],"disaggregate":[25,130],"level":[26,223],"information":[27,131],"is":[28,78,83,122,171,200],"not":[29],"readily":[30],"available":[31,240],"planners":[33],"resort":[34],"population":[36,52,69,170,235],"synthesis":[37,53,70],"procedures.":[38],"research":[40],"includes":[41],"two":[42],"studies":[43],"that":[44,124,194,236],"focused":[46],"on":[47],"developing":[48],"alternative":[49],"paradigms":[50],"estimating":[56,118],"sample":[57,119,230],"household":[58,120,141,220],"weights.":[59],"the":[61,88,93,111,140,148,164,168,180,195,203,229,239],"first":[62],"study,":[63,113],"simulation-based":[65],"technique":[66],"multi-level":[68],"using":[71,129,179],"Hidden":[73],"Markov":[74],"Model":[75],"(HMM)":[76],"framework":[77,183],"presented.":[79],"A":[80],"comparative":[81],"analysis":[82,189],"carried":[84],"out":[85],"highlight":[87],"feasibility":[89],"applicability":[91],"proposed":[94,123,181,196],"approach":[95],"generating":[97],"consistent":[98,127,219],"multilevel":[99],"agents":[100],"while":[101],"adhering":[102],"geography-based":[104],"controls":[105],"heterogeneity.":[107],"As":[108],"part":[109],"second":[112],"an":[114,211],"analytical":[115],"procedure":[116,199],"weights":[121,128],"helps":[125],"estimate":[126],"with":[132,202],"sparse":[133],"attribute":[134],"categories":[135],"by":[136],"controlling":[137],"both":[138],"at":[139],"person":[143,222],"level.":[144],"Different":[145],"configurations":[146],"system":[149],"linear":[151],"equations":[152],"formulated":[154],"evaluated":[156],"various":[158],"sets":[159],"block":[161,175],"groups":[162,176],"as":[163,210],"geographical":[165],"units.":[166],"Finally,":[167],"synthetic":[169,191,234],"generated":[172],"ten":[174],"Connecticut":[178],"synthesizing":[182],"weight":[185,197,213],"estimation":[186,198,214],"procedure.":[187],"The":[188],"outputs":[192],"confirms":[193],"comparable":[201],"heuristic-based":[204],"approaches":[205],"can":[207],"be":[208],"used":[209],"alternate":[212],"routine":[215],"simulating":[217],"more":[218],"or":[225],"drawing":[226],"households":[227],"from":[228],"obtain":[232],"closely":[237],"match":[238],"aggregate":[241],"information.":[242]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-05-29T00:00:00"}
