{"id":"https://openalex.org/W4381985381","doi":"https://doi.org/10.1007/s43762-023-00094-x","title":"Seasonal characteristics of crime: an empirical investigation of the temporal fluctuation of the different types of crime in London","display_name":"Seasonal characteristics of crime: an empirical investigation of the temporal fluctuation of the different types of crime in London","publication_year":2023,"publication_date":"2023-05-04","ids":{"openalex":"https://openalex.org/W4381985381","doi":"https://doi.org/10.1007/s43762-023-00094-x"},"language":"en","primary_location":{"id":"doi:10.1007/s43762-023-00094-x","doi":"https://doi.org/10.1007/s43762-023-00094-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43762-023-00094-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s43762-023-00094-x.pdf","source":{"id":"https://openalex.org/S4210175573","display_name":"Computational Urban Science","issn_l":"2730-6852","issn":["2730-6852"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Computational Urban Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s43762-023-00094-x.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056197959","display_name":"Narushige Shiode","orcid":"https://orcid.org/0000-0003-3065-3654","observed_orcids":["https://orcid.org/0000-0003-3065-3654"]},"institutions":[{"id":"https://openalex.org/I205051169","display_name":"Kingston University London","ror":"https://ror.org/05bbqza97","country_code":"GB","type":"education","lineage":["https://openalex.org/I205051169"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Narushige Shiode","raw_affiliation_strings":["Department of Geography, Geology and the Environment, Kingston University, Kingston Upon Thames, KT1 2EE, UK"],"raw_orcid":"https://orcid.org/0000-0003-3065-3654","affiliations":[{"raw_affiliation_string":"Department of Geography, Geology and the Environment, Kingston University, Kingston Upon Thames, KT1 2EE, UK","institution_ids":["https://openalex.org/I205051169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045704476","display_name":"Shino Shiode","orcid":"https://orcid.org/0000-0003-4392-1814","observed_orcids":["https://orcid.org/0000-0003-4392-1814"]},"institutions":[{"id":"https://openalex.org/I124357947","display_name":"University of London","ror":"https://ror.org/04cw6st05","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947"]},{"id":"https://openalex.org/I98259816","display_name":"Birkbeck, University of London","ror":"https://ror.org/02mb95055","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I98259816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shino Shiode","raw_affiliation_strings":["Department of Geography, Birkbeck, University of London, London, WC1E 7HX, UK"],"raw_orcid":"https://orcid.org/0000-0003-4392-1814","affiliations":[{"raw_affiliation_string":"Department of Geography, Birkbeck, University of London, London, WC1E 7HX, UK","institution_ids":["https://openalex.org/I124357947","https://openalex.org/I98259816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068666758","display_name":"Hayato Nishi","orcid":"https://orcid.org/0000-0002-3195-4638","observed_orcids":["https://orcid.org/0000-0002-3195-4638"]},"institutions":[{"id":"https://openalex.org/I111428342","display_name":"Hitotsubashi University","ror":"https://ror.org/04jqj7p05","country_code":"JP","type":"education","lineage":["https://openalex.org/I111428342"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hayato Nishi","raw_affiliation_strings":["Graduate School of Social Data Science, Hitotsubashi University, Tokyo, 186-8601, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3195-4638","affiliations":[{"raw_affiliation_string":"Graduate School of Social Data Science, Hitotsubashi University, Tokyo, 186-8601, Japan","institution_ids":["https://openalex.org/I111428342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101697164","display_name":"Kimihiro Hino","orcid":"https://orcid.org/0000-0003-1243-1329","observed_orcids":["https://orcid.org/0000-0003-1243-1329"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kimihiro Hino","raw_affiliation_strings":["Department of Urban Engineering, The University of Tokyo, Tokyo, 113-8656, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1243-1329","affiliations":[{"raw_affiliation_string":"Department of Urban Engineering, The University of Tokyo, Tokyo, 113-8656, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056197959"],"corresponding_institution_ids":["https://openalex.org/I205051169"],"apc_list":{"value":0,"currency":"USD","value_usd":0},"apc_paid":null,"fwci":6.3324,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96406381,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"3","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10574","display_name":"Crime Patterns and Interventions","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10574","display_name":"Crime Patterns and Interventions","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11076","display_name":"Policing Practices and Perceptions","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"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/T12736","display_name":"Criminal Justice and Penology","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"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/time-to-peak","display_name":"time to peak","score":0.47200000286102295},{"id":"https://openalex.org/keywords/police-resource-allocation","display_name":"police resource allocation","score":0.9330000281333923},{"id":"https://openalex.org/keywords/crime-prediction","display_name":"crime prediction","score":0.5569999814033508},{"id":"https://openalex.org/keywords/london","display_name":"London","score":0.9549999833106995}],"concepts":[{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.6246448755264282},{"id":"https://openalex.org/C110698143","wikidata":"https://www.wikidata.org/wiki/Q651389","display_name":"Patrolling","level":2,"score":0.6171181201934814},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5918287634849548},{"id":"https://openalex.org/C125403950","wikidata":"https://www.wikidata.org/wiki/Q2111082","display_name":"Seasonality","level":2,"score":0.5770547986030579},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5463067889213562},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.45976537466049194},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.398000568151474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38086509704589844},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.309652715921402},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24866047501564026},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.15832513570785522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13015007972717285},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s43762-023-00094-x","doi":"https://doi.org/10.1007/s43762-023-00094-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43762-023-00094-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s43762-023-00094-x.pdf","source":{"id":"https://openalex.org/S4210175573","display_name":"Computational Urban Science","issn_l":"2730-6852","issn":["2730-6852"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Computational Urban Science","raw_type":"journal-article"},{"id":"pmh:oai:eprints.bbk.ac.uk.oai2:51166","doi":null,"is_oa":true,"landing_page_url":"https://eprints.bbk.ac.uk/id/eprint/51166/1/51166.pdf","pdf_url":"https://eprints.bbk.ac.uk/id/eprint/51166/1/51166.pdf","source":{"id":"https://openalex.org/S4306400465","display_name":"BIROn (Birkbeck, University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98259816","host_organization_name":"Birkbeck, University of London","host_organization_lineage":["https://openalex.org/I98259816"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:eprints.kingston.ac.uk:54042","doi":null,"is_oa":true,"landing_page_url":"https://eprints.kingston.ac.uk/id/eprint/54042/1/Shiode-N-54042.pdf","pdf_url":"https://eprints.kingston.ac.uk/id/eprint/54042/1/Shiode-N-54042.pdf","source":{"id":"https://openalex.org/S4306400991","display_name":"Research Repository (Kingston University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801636071","host_organization_name":"Kingston Hospital NHS Trust","host_organization_lineage":["https://openalex.org/I2801636071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:7b680a9b20b54c15a134f48dabe0ab7a","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/7b680a9b20b54c15a134f48dabe0ab7a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Urban Science, Vol 3, Iss 1, Pp 1-14 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s43762-023-00094-x","doi":"https://doi.org/10.1007/s43762-023-00094-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43762-023-00094-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s43762-023-00094-x.pdf","source":{"id":"https://openalex.org/S4210175573","display_name":"Computational Urban Science","issn_l":"2730-6852","issn":["2730-6852"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["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":"Computational Urban Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Sustainable cities and communities","score":0.5142999887466431,"id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3797257800","display_name":"Spatio-temporal analysis of crime using geospatial big data and its application to social experiments","funder_award_id":"23K21010","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6118138699","display_name":"Development of active planning methodology with application of CPTED","funder_award_id":"19KK0374","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381985381.pdf","grobid_xml":"https://content.openalex.org/works/W4381985381.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W170732776","https://openalex.org/W187481611","https://openalex.org/W589911694","https://openalex.org/W1811186367","https://openalex.org/W1869401170","https://openalex.org/W1968595784","https://openalex.org/W1973611699","https://openalex.org/W1977718267","https://openalex.org/W1989988879","https://openalex.org/W1999445699","https://openalex.org/W2009912562","https://openalex.org/W2021596910","https://openalex.org/W2022305249","https://openalex.org/W2036982386","https://openalex.org/W2050508266","https://openalex.org/W2066871293","https://openalex.org/W2071126164","https://openalex.org/W2072293079","https://openalex.org/W2082068509","https://openalex.org/W2089099806","https://openalex.org/W2108436931","https://openalex.org/W2144516479","https://openalex.org/W2154008884","https://openalex.org/W2160752525","https://openalex.org/W2165066932","https://openalex.org/W2167338785","https://openalex.org/W2189105228","https://openalex.org/W2305291328","https://openalex.org/W2309889062","https://openalex.org/W2331354169","https://openalex.org/W2496883253","https://openalex.org/W2541798807","https://openalex.org/W2606114487","https://openalex.org/W2760154283","https://openalex.org/W2798056406","https://openalex.org/W2993048577","https://openalex.org/W3210679702","https://openalex.org/W4229539396","https://openalex.org/W4247545505","https://openalex.org/W4249855545","https://openalex.org/W4297900564","https://openalex.org/W4300526617","https://openalex.org/W4302441299","https://openalex.org/W4313377273","https://openalex.org/W6671436456","https://openalex.org/W6736472684"],"related_works":["https://openalex.org/W6893600248","https://openalex.org/W97969106","https://openalex.org/W3151196356","https://openalex.org/W2021596910","https://openalex.org/W2790012012","https://openalex.org/W2013009229","https://openalex.org/W2579277721","https://openalex.org/W3210679702","https://openalex.org/W2908268342","https://openalex.org/W2305291328"],"abstract_inverted_index":{"Abstract":[0],"Most":[1],"types":[2,27,106],"of":[3,13,24,31,49,57,76,85,107,116,126,135,140,150,154,162,173,184],"crimes":[4,18,32,108,155,163],"show":[5],"seasonal":[6,36,118,145,152,166],"fluctuations":[7],"but":[8],"the":[9,14,22,41,47,58,74,83,114,117,127,133,136,141,151,159,185],"difference":[10],"and":[11,28,45,51,71,78,98,170],"similarity":[12,128],"periodicity":[15],"between":[16],"different":[17,25,86],"are":[19],"understudied.":[20],"Interpreting":[21],"seasonality":[23],"crime":[26],"formulating":[29],"clusters":[30],"that":[33,113],"share":[34],"similar":[35,165],"characteristics":[37,167],"would":[38],"help":[39],"identify":[40],"common":[42],"underlying":[43],"factors":[44],"revise":[46],"patterns":[48,153],"patrolling":[50],"monitoring":[52],"to":[53],"enable":[54,168],"sustained":[55],"management":[56,183],"control":[59],"strategies.":[60],"This":[61],"study":[62,103],"proposes":[63],"a":[64,91,180],"new":[65],"methodological":[66],"framework":[67],"for":[68],"measuring":[69],"similarities":[70],"differences":[72],"in":[73,109,129,143],"timing":[75,134],"peaks":[77,137],"troughs,":[79],"as":[80,82,156,158],"well":[81,157],"waveforms":[84],"crimes.":[87],"The":[88,147],"method":[89,123],"combines":[90],"Poisson":[92],"state-space":[93],"model":[94],"with":[95,164],"cluster":[96],"analysis":[97],"multi-dimensional":[99],"scaling.":[100],"A":[101],"case":[102],"using":[104],"twelve":[105],"London":[110],"(2013\u20132020)":[111],"demonstrated":[112],"amplitude":[115],"fluctuation":[119],"identified":[120],"by":[121],"this":[122],"explained":[124],"95.2%":[125],"their":[130,144],"waveforms,":[131],"while":[132],"covered":[138],"87.5%":[139],"variance":[142],"fluctuation.":[146],"high":[148],"predictability":[149],"stable":[160],"categorisation":[161],"sustainable":[169],"measured":[171],"planning":[172],"police":[174],"resource":[175],"allocation":[176],"and,":[177],"thereby,":[178],"facilitates":[179],"more":[181],"efficient":[182],"urban":[186],"environment.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-06-26T00:00:00"}