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        <identifier>oai:kindai.repo.nii.ac.jp:00023903</identifier>
        <datestamp>2023-06-20T18:42:10Z</datestamp>
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          <dc:title>自転車窃盗犯罪発生の時系列地理空間分析</dc:title>
          <dc:title xml:lang="en">Time-Series Geospatial Analysis of Bicycle Theft Occurrence Factor</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>中平, 恭之</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="ja-Kana">ナカヒラ, ヤスユキ</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>イポリテ, ルマンジ</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName>松尾, 幸二郎</jpcoar:creatorName>
            <jpcoar:creatorName xml:lang="ja-Kana">マツオ, コウジロウ</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">geospatial analysis</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">theft crime</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">person trip</jpcoar:subject>
          <datacite:description descriptionType="Abstract">In recent years, as crime has become heinous and sophisticated technics, public awareness toward crime has been increasing in Japan. Therefore, crime-prevention technology has improved dramatically. More than 5 million security cameras are installed due to improved performance, and crime-prevention effect of installing has been confirmed. The number of reported criminal law offenses peaked at about 2.85 million in 2002 and has decreased in about 570,000 in 2021. However, we have to take more efficient measures against crimes are needed to safety living environment. Especially, the number of theft crime account for about 67% of all reported criminal law offence. Therefore, we have to more enhance measure of theft crime prevention. Important to grasp to detail of crime condition to crime-prevention. In this study, in order to grasp to condition of theft crime occurring point in time-series, we geospatially analyzed relationship between theft crime occurring point and person-trip in time-series.</datacite:description>
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          <dc:publisher>近畿大学工業高等専門学校</dc:publisher>
          <datacite:date dateType="Issued">2023-03-15</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_6501">departmental bulletin paper</dc:type>
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          <jpcoar:identifier identifierType="URI">https://kindai.repo.nii.ac.jp/records/23903</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="ISSN">18824374</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>近畿大学工業高等専門学校研究紀要</jpcoar:sourceTitle>
          <jpcoar:sourceTitle xml:lang="en">Research reports Kindai University Technical College</jpcoar:sourceTitle>
          <jpcoar:issue>16</jpcoar:issue>
          <jpcoar:pageStart>83</jpcoar:pageStart>
          <jpcoar:pageEnd>86</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2023-05-08</datacite:date>
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