{"id":"https://openalex.org/W2769758359","doi":"https://doi.org/10.1109/geoinformatics.2017.8090942","title":"Investigating street accident characteristics and optimal safe route recommendation: A case study of New York City","display_name":"Investigating street accident characteristics and optimal safe route recommendation: A case study of New York City","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2769758359","doi":"https://doi.org/10.1109/geoinformatics.2017.8090942","mag":"2769758359"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2017.8090942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2017.8090942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th International Conference on Geoinformatics","raw_type":"proceedings-article"},"type":"article","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":"https://openalex.org/A5012869139","display_name":"Enbo Zhou","orcid":"https://orcid.org/0000-0003-2939-2784"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Enbo Zhou","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102718265","display_name":"Shanjun Mao","orcid":"https://orcid.org/0000-0002-5428-6863"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanjun Mao","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101500858","display_name":"Mei Li","orcid":"https://orcid.org/0000-0002-4763-1817"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Li","raw_affiliation_strings":["Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012869139"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.6165,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72720082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10370","display_name":"Traffic and Road Safety","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9904000163078308,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9796000123023987,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.765389084815979},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.6924547553062439},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.6545183062553406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5844469666481018},{"id":"https://openalex.org/keywords/accident","display_name":"Accident (philosophy)","score":0.5441961288452148},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5011758804321289},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.4743722081184387},{"id":"https://openalex.org/keywords/school-bus","display_name":"School bus","score":0.4513430595397949},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.41076529026031494},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18489468097686768},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16338545083999634},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07136064767837524}],"concepts":[{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.765389084815979},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.6924547553062439},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.6545183062553406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5844469666481018},{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.5441961288452148},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5011758804321289},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.4743722081184387},{"id":"https://openalex.org/C3018142482","wikidata":"https://www.wikidata.org/wiki/Q58678","display_name":"School bus","level":2,"score":0.4513430595397949},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.41076529026031494},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18489468097686768},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16338545083999634},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07136064767837524},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2017.8090942","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2017.8090942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1499739981","https://openalex.org/W1964345043","https://openalex.org/W1965126781","https://openalex.org/W1994231679","https://openalex.org/W2006868542","https://openalex.org/W2008348094","https://openalex.org/W2017755807","https://openalex.org/W2018006512","https://openalex.org/W2032514841","https://openalex.org/W2039739239","https://openalex.org/W2050825254","https://openalex.org/W2053932742","https://openalex.org/W2058662275","https://openalex.org/W2060213968","https://openalex.org/W2114320854","https://openalex.org/W2133361966","https://openalex.org/W2273442649","https://openalex.org/W2285792239","https://openalex.org/W2562005416","https://openalex.org/W4246219036","https://openalex.org/W4298882835","https://openalex.org/W6629640607"],"related_works":["https://openalex.org/W3115858697","https://openalex.org/W2488460099","https://openalex.org/W4401743298","https://openalex.org/W852515486","https://openalex.org/W2382787685","https://openalex.org/W2384322858","https://openalex.org/W2366187940","https://openalex.org/W2364212620","https://openalex.org/W2352065077","https://openalex.org/W2527775010"],"abstract_inverted_index":{"With":[0],"the":[1,7,16,34,44,58,67,89,96,113,138,142,149,157,171,176,179,195],"growing":[2],"traffic":[3,10,17],"accidents,":[4,18],"cities":[5],"meet":[6],"problem":[8],"of":[9,39,69,92,101,145,159,175],"safety.":[11],"In":[12],"order":[13],"to":[14,26,78,87,116,140,170,188],"reduce":[15],"vehicle":[19,40],"collision's":[20],"spatio-temporal":[21,35],"distributions":[22,36,144],"and":[23,37,42,80,99,126,166,173,178],"characteristics":[24,38,91],"need":[25],"be":[27],"analyzed.":[28],"This":[29,163],"paper":[30],"focuses":[31],"on":[32,57,71,112,156],"investigating":[33],"collisions":[41,70,93],"detecting":[43],"accident":[45,132],"prone":[46,133],"streets.":[47,147],"Besides,":[48],"an":[49],"optimal":[50,150,180],"safe":[51,151,181],"route":[52,152,189],"method":[53,153,183],"is":[54],"proposed":[55],"based":[56,111],"dangerous":[59,122,146],"index":[60,123,139],"defined":[61,125],"in":[62],"this":[63],"paper.":[64],"We":[65],"calculated":[66,127],"number":[68],"each":[72,85,102,129],"street":[73,86],"by":[74],"hour":[75],"from":[76],"0":[77],"23":[79],"got":[81],"a":[82,185],"collision-curve":[83],"for":[84,128],"delineate":[88],"temporal":[90],"which":[94],"indicated":[95],"inherent":[97],"functions":[98],"locations":[100],"street.":[103,130],"The":[104,131],"streets":[105,134],"were":[106,135],"clustered":[107],"into":[108],"several":[109],"types":[110],"collision-time":[114],"curves":[115],"find":[117],"different":[118],"spatial":[119,143],"patterns.":[120],"A":[121],"was":[124,154],"detected":[136],"using":[137],"reveal":[141],"Finally,":[148],"tested":[155],"data":[158],"New":[160],"York":[161],"City.":[162],"paper's":[164],"methods":[165],"findings":[167],"may":[168],"contribute":[169],"governance":[172],"planning":[174],"city":[177],"routing":[182],"provides":[184],"new":[186],"insight":[187],"under":[190],"some":[191],"circumstances":[192],"such":[193],"as":[194],"school":[196],"bus's":[197],"travel.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}