{"id":"https://openalex.org/W4417032084","doi":"https://doi.org/10.48550/arxiv.2512.03755","title":"Origin-Conditional Trajectory Encoding: Measuring Urban Configurational Asymmetries through Neural Decomposition","display_name":"Origin-Conditional Trajectory Encoding: Measuring Urban Configurational Asymmetries through Neural Decomposition","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W4417032084","doi":"https://doi.org/10.48550/arxiv.2512.03755"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2512.03755","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03755","pdf_url":"https://arxiv.org/pdf/2512.03755","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2512.03755","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055537550","display_name":"Stephen Law","orcid":"https://orcid.org/0000-0003-3184-572X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Law, Stephen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064496622","display_name":"Tao Yang","orcid":"https://orcid.org/0000-0002-8306-0185"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Tao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067351698","display_name":"Nanjiang Chen","orcid":"https://orcid.org/0009-0003-2473-5028"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Nanjiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101291067","display_name":"Xuhui Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Xuhui","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055537550"],"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/T12325","display_name":"Urban Design and Spatial Analysis","score":0.6717000007629395,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12325","display_name":"Urban Design and Spatial Analysis","score":0.6717000007629395,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11904","display_name":"Spatial Cognition and Navigation","score":0.04610000178217888,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.03889999911189079,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8011999726295471},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4726000130176544},{"id":"https://openalex.org/keywords/cognitive-map","display_name":"Cognitive map","score":0.4302000105381012},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4081999957561493},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4025000035762787},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.39879998564720154},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.3873000144958496},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.35920000076293945},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.3490000069141388},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.33059999346733093}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8011999726295471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6610999703407288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479999780654907},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4726000130176544},{"id":"https://openalex.org/C170494330","wikidata":"https://www.wikidata.org/wiki/Q1778434","display_name":"Cognitive map","level":3,"score":0.4302000105381012},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4025000035762787},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.39879998564720154},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.35920000076293945},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33500000834465027},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32499998807907104},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.31450000405311584},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.31139999628067017},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.298799991607666},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C2776937971","wikidata":"https://www.wikidata.org/wiki/Q4384217","display_name":"Heading (navigation)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C2777371692","wikidata":"https://www.wikidata.org/wiki/Q2178611","display_name":"Spatial cognition","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2648000121116638},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.2529999911785126}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2512.03755","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03755","pdf_url":"https://arxiv.org/pdf/2512.03755","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2512.03755","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.03755","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2512.03755","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03755","pdf_url":"https://arxiv.org/pdf/2512.03755","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417032084.pdf","grobid_xml":"https://content.openalex.org/works/W4417032084.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Urban":[0],"analytics":[1,190],"increasingly":[2],"relies":[3],"on":[4,68,133,157],"AI-driven":[5],"trajectory":[6,15,85],"analysis,":[7],"yet":[8],"current":[9],"approaches":[10],"suffer":[11],"from":[12,150],"methodological":[13],"fragmentation:":[14],"learning":[16],"captures":[17],"movement":[18,92],"patterns":[19,109,142],"but":[20,31],"ignores":[21,53],"spatial":[22,25,45,90,112],"context,":[23],"while":[24,94],"embedding":[26],"methods":[27],"encode":[28],"street":[29],"networks":[30],"miss":[32],"temporal":[33,47],"dynamics.":[34],"Three":[35],"gaps":[36],"persist:":[37],"(1)":[38],"lack":[39],"of":[40,78,117],"joint":[41],"training":[42],"that":[43,52,87,162],"integrates":[44],"and":[46,65,91,110,129,143,154,187],"representations,":[48],"(2)":[49],"origin-agnostic":[50],"treatment":[51],"directional":[54],"asymmetries":[55,97,119],"in":[56],"navigation":[57,105,192],"($A":[58],"\\to":[59,63],"B":[60,62],"\\ne":[61],"A$),":[64],"(3)":[66],"over-reliance":[67],"auxiliary":[69],"data":[70],"(POIs,":[71],"imagery)":[72],"rather":[73],"than":[74],"fundamental":[75],"geometric":[76,99],"properties":[77],"urban":[79,104,141,163,171],"space.":[80],"We":[81],"introduce":[82],"a":[83],"conditional":[84],"encoder":[86],"jointly":[88],"learns":[89],"representations":[93,138],"preserving":[95],"origin-dependent":[96],"using":[98],"features.":[100],"This":[101,169],"framework":[102],"decomposes":[103],"into":[106,139,182],"shared":[107,140],"cognitive":[108,118,167,185],"origin-specific":[111,144],"narratives,":[113],"enabling":[114],"quantitative":[115,173],"measurement":[116],"across":[120],"starting":[121],"locations.":[122],"Our":[123],"bidirectional":[124],"LSTM":[125],"processes":[126],"visibility":[127],"ratio":[128],"curvature":[130],"features":[131],"conditioned":[132],"learnable":[134],"origin":[135],"embeddings,":[136],"decomposing":[137],"signatures":[145],"through":[146],"contrastive":[147],"learning.":[148],"Results":[149],"six":[151],"synthetic":[152],"cities":[153],"real-world":[155],"validation":[156],"Beijing's":[158],"Xicheng":[159],"District":[160],"demonstrate":[161],"morphology":[164],"creates":[165],"systematic":[166],"inequalities.":[168],"provides":[170],"planners":[172],"tools":[174],"for":[175,191],"assessing":[176],"experiential":[177],"equity,":[178],"offers":[179],"architects":[180],"insights":[181],"layout":[183],"decisions'":[184],"impacts,":[186],"enables":[188],"origin-aware":[189],"systems.":[193]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-12-05T00:00:00"}