{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:35:04Z","timestamp":1754156104196,"version":"3.41.2"},"reference-count":11,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T00:00:00Z","timestamp":1560729600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJWIS"],"published-print":{"date-parts":[[2019,6,17]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>In a previous research, the authors proposed a security information service, called Personalized Real-time Information with Security Map (PRISM), which personalizes the incident information based on living area of individual users. The purpose of this paper is to extend PRISM to conduct sophisticated analysis of street crimes. The extended features enable to look back on past incident information and perform statistical analysis.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>To analyze street crimes around living area in more detail, the authors add three new features to PRISM: showing a past heat map, showing a heat map focused on specified type of incidents and showing statistics of incidents for every type. Using these features, the authors visualize the dynamic transition of street crimes in a specific area and the whole region within Kobe city. They also compare different districts by statistics of street crimes.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Dynamical visualization clarifies when, where and what kind of incident occurs frequently. Most incidents occurred along three train lines in Kobe city. Wild boars are only witnessed in a certain region. Statistics shows that the characteristics of street crimes is completely different depending on living area.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>Previously, many studies have been conducted to clarify factors relevant to street crimes. However, these previous studies mainly focus on interesting regions as a whole, but do not consider individual\u2019s living area. In this paper, the authors analyze street crimes according to users\u2019 living area using personalized security information service PRISM.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/ijwis-04-2018-0032","type":"journal-article","created":{"date-parts":[[2018,12,11]],"date-time":"2018-12-11T05:19:50Z","timestamp":1544505590000},"page":"183-200","source":"Crossref","is-referenced-by-count":1,"title":["Analyzing street crimes in Kobe city using PRISM"],"prefix":"10.1108","volume":"15","author":[{"given":"Takuhiro","family":"Kagawa","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sachio","family":"Saiki","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masahide","family":"Nakamura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020092222094696000_ref001","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.jcrimjus.2017.02.001","article-title":"Cities and the larger context: What explains changing levels of crime?","volume":"49","year":"2017","journal-title":"Journal of Criminal Justice"},{"key":"key2020092222094696000_ref002","unstructured":"Hyogo Prefectural Police (2017), \u201cHyogo Bouhan net\u201d, available at: https:\/\/hyogo-bouhan.net\/"},{"year":"2017","key":"key2020092222094696000_ref011"},{"key":"key2020092222094696000_ref003","first-page":"465","article-title":"Developing personalized security information service using open data","volume-title":"18th IEEE\/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing (SNPD 2017), number CFP1779A-USB, IEEE Computer Society and International Association for Computer and Information Science (ACIS), Kanazawa","year":"2017"},{"key":"key2020092222094696000_ref004","first-page":"208","article-title":"Visualizing and analyzing street crimes using personalized security information service PRISM","volume-title":"The 19th International Conference on Information Integration and Web-based Applications and Services (iiWAS2017), Salzburg","year":"2017"},{"key":"key2020092222094696000_ref005","unstructured":"Kester, Q. (2013), \u201cVisualization and analysis of geographical crime patterns using formal concept analysis\u201d, CoRR, available at: http:\/\/arxiv.org\/abs\/1307.8112"},{"key":"key2020092222094696000_ref006","unstructured":"Kobe City (2017), \u201cOpen data Kobe\u201d, available at: https:\/\/data.city.kobe.lg.jp\/."},{"issue":"1","key":"key2020092222094696000_ref007","doi-asserted-by":"crossref","first-page":"31","DOI":"10.2307\/2580317","article-title":"Violent crime and the spatial dynamics of neighborhood transition: Chicago, 1970-1990","volume":"76","year":"1997","journal-title":"Social Forces"},{"issue":"1","key":"key2020092222094696000_ref008","doi-asserted-by":"crossref","first-page":"74","DOI":"10.2307\/2577933","article-title":"Dangerous places: crime and residential environment","volume":"60","year":"1981","journal-title":"Social Forces"},{"issue":"2","key":"key2020092222094696000_ref009","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/s10940-015-9251-z","article-title":"The effect of commuting on city-level crime rates","volume":"31","year":"2015","journal-title":"Journal of Quantitative Criminology"},{"key":"key2020092222094696000_ref010","unstructured":"Tokyo Metropolitan Police Department (2017), \u201cTokyo crime map\u201d, available at: www2.wagmap.jp\/jouhomap\/Portal?langmode=1"}],"container-title":["International Journal of Web Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJWIS-04-2018-0032\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/IJWIS-04-2018-0032\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T22:24:00Z","timestamp":1753395840000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/ijwis\/article\/15\/2\/183-200\/164264"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,17]]},"references-count":11,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,6,17]]}},"alternative-id":["10.1108\/IJWIS-04-2018-0032"],"URL":"https:\/\/doi.org\/10.1108\/ijwis-04-2018-0032","relation":{},"ISSN":["1744-0084"],"issn-type":[{"type":"print","value":"1744-0084"}],"subject":[],"published":{"date-parts":[[2019,6,17]]}}}