{"id":"https://openalex.org/W4417283685","doi":"https://doi.org/10.1145/3748636.3763207","title":"A Spatially-Adapted SHAP Approach for Interpreting Deep Bike Usage Learning and Prediction","display_name":"A Spatially-Adapted SHAP Approach for Interpreting Deep Bike Usage Learning and Prediction","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W4417283685","doi":"https://doi.org/10.1145/3748636.3763207"},"language":null,"primary_location":{"id":"doi:10.1145/3748636.3763207","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3748636.3763207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Congcong Miao","orcid":"https://orcid.org/0009-0009-5040-1201"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Congcong Miao","raw_affiliation_strings":["University of Connecticut, Storrs, USA"],"raw_orcid":"https://orcid.org/0009-0009-5040-1201","affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070251006","display_name":"Suining He","orcid":"https://orcid.org/0000-0003-1913-6808"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suining He","raw_affiliation_strings":["University of Connecticut, Storrs, USA"],"raw_orcid":"https://orcid.org/0000-0003-1913-6808","affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuyao Li","orcid":"https://orcid.org/0009-0007-4134-6752"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuyao Li","raw_affiliation_strings":["University of Connecticut, Storrs, USA"],"raw_orcid":"https://orcid.org/0009-0007-4134-6752","affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102816110","display_name":"Chuanrong Zhang","orcid":"https://orcid.org/0000-0002-9165-5584"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuanrong Zhang","raw_affiliation_strings":["University of Connecticut, Storrs, USA"],"raw_orcid":"https://orcid.org/0000-0002-9165-5584","affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1114","last_page":"1117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9921000003814697,"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"}},"topics":[{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9921000003814697,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.0012000000569969416,"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/T11793","display_name":"Recreation, Leisure, Wilderness Management","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.7404000163078308},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.635699987411499},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5127999782562256},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46070000529289246},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4571000039577484},{"id":"https://openalex.org/keywords/spatial-learning","display_name":"Spatial learning","score":0.43970000743865967},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4147000014781952},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.38690000772476196}],"concepts":[{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.7404000163078308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588000059127808},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.635699987411499},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5127999782562256},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46070000529289246},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4571000039577484},{"id":"https://openalex.org/C2985665543","wikidata":"https://www.wikidata.org/wiki/Q3560550","display_name":"Spatial learning","level":3,"score":0.43970000743865967},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.399399995803833},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.38690000772476196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3779999911785126},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.35600000619888306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32330000400543213},{"id":"https://openalex.org/C94747663","wikidata":"https://www.wikidata.org/wiki/Q7574086","display_name":"Spatial variability","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C2781353284","wikidata":"https://www.wikidata.org/wiki/Q7901676","display_name":"Usage data","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C2986522900","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relationship","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C2778068325","wikidata":"https://www.wikidata.org/wiki/Q19892785","display_name":"Individual mobility","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C2993836695","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial change","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748636.3763207","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3748636.3763207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1240825014","display_name":"NRT: Building resilient landscapes for food, energy, water, and ecosystems in America's megalopolis","funder_award_id":"2022036","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3185941075","display_name":"SCC-PG: Towards A User-Centered and Equity-Aware Micromobility Sharing Co-Design Network to Interact with A Distressed Municipality","funder_award_id":"2303575","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5536785363","display_name":"CAREER: Structural and Accountable Behavior Understandings and Human-centered AI Designs with Naturalistic Micromobility Riding Data","funder_award_id":"2239897","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2087854787","https://openalex.org/W2795577446","https://openalex.org/W2894647113","https://openalex.org/W4283172248","https://openalex.org/W4390100387"],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"the":[1,47,60,119],"spatial":[2,29,48,81,97,120],"dynamics":[3,121],"of":[4,62,122],"bike-sharing":[5,33,53,64,123],"usage":[6,102],"is":[7,90],"critical":[8],"for":[9,128],"effective":[10,130],"urban":[11],"planning":[12],"and":[13,55,89,125,133],"mobility":[14],"resource":[15],"management.":[16],"In":[17],"this":[18],"study,":[19],"we":[20,36],"propose":[21],"an":[22],"interpretable":[23],"deep":[24,116],"learning":[25],"approach":[26],"to":[27,45,58,110],"uncover":[28],"relationships":[30],"embedded":[31],"in":[32,52,76,99,105],"activities.":[34],"Specifically,":[35],"develop":[37],"a":[38,63],"spatially-adapted":[39],"SHapley":[40],"Additive":[41],"exPlanations":[42],"(SHAP)-based":[43],"method":[44],"quantify":[46],"dependencies":[49,98],"between":[50],"locations":[51],"activities":[54],"apply":[56],"it":[57],"interpret":[59],"predictions":[61],"model.":[65],"Extensive":[66],"experiments":[67],"upon":[68],"Citi":[69],"Bike":[70],"data":[71],"from":[72],"New":[73],"York":[74],"City":[75],"December":[77],"2023":[78],"reveal":[79],"that":[80],"influence":[82],"does":[83],"not":[84],"strictly":[85],"follow":[86],"geographic":[87],"proximity":[88],"anisotropic.":[91],"Additionally,":[92],"non-member":[93],"users":[94],"exhibit":[95],"weaker":[96],"their":[100],"bike":[101],"behavior,":[103],"resulting":[104],"lower":[106],"short-term":[107],"predictability":[108],"compared":[109],"member":[111],"users.":[112],"Our":[113],"studies":[114],"shed":[115],"insights":[117],"into":[118],"systems":[124],"provide":[126],"guidance":[127],"more":[129],"service":[131],"deployment":[132],"system":[134],"design.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-12-12T00:00:00"}