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    <dcat:Catalog>
        <dcat:dataset>
            <dcat:Dataset>
                <dct:description xml:lang="kr">제공된 데이터는 인천광역시 부평구 내 영업 중단 또는 장기 방치된 빈집의 동별 현황을 수록한 자료입니다. 도심 내 쇠퇴 지역의 주거 환경을 개선하고, 빈집을 활용한 문화 공간 조성 및 공공 주택 공급 등 도시재생 정책 수립의 기초 자료로 활용할 수 있습니다.<br/><br/>🎯 활용 목적 및 특징<br/>주거 환경 정비 및 안전 관리: 노후화된 빈집의 분포를 파악하여 붕괴 사고 예방, 범죄 취약 지역 점검 및 철거·보수 지원 사업의 우선순위 결정<br/>도시재생 및 지역 활성화: 빈집을 리모델링하여 청년 창업 공간, 마을 커뮤니티 센터, 공영 주차장 등으로 전환하는 도시재생 뉴딜 사업의 핵심 데이터로 활용<br/>주택 공급 정책 수립: 다세대·연립주택 밀집 지역의 빈집 현황을 분석하여 가로주택정비사업이나 소규모 재건축 사업의 가능성을 검토<br/>자산 가치 및 상권 분석: 특정 지역의 빈집 증가율을 모니터링하여 지역 상권의 쇠퇴 여부를 판단하고 소상공인 지원 정책의 기초 지표로 사용</dct:description>
                <dct:description xml:lang="en">The provided data contains the status of vacant houses by neighborhood within Bupyeong-gu, Incheon Metropolitan City, which are either closed or have been abandoned for a long time. It can be utilized as foundational data for establishing urban regeneration policies, such as improving residential environments in declining urban areas, creating cultural spaces using vacant houses, and supplying public housing. \uD83C\uDFAF Purpose of Use and Features Residential Environment Improvement and Safety Management: Identifying the distribution of aging vacant houses to prevent collapse accidents, inspect crime-prone areas, and determine priorities for demolition and repair support projects. Urban Regeneration and Regional Revitalization: Utilizing this as core data for the Urban Regeneration New Deal project, which involves remodeling vacant houses to convert them into spaces for youth startups, village community centers, and public parking lots. Formulation of Housing Supply Policies: Analyzing the status of vacant houses in areas densely populated with multi-family and row houses to review the feasibility of street housing improvement projects or small-scale reconstruction projects. Asset Value and Commercial Area Analysis: Monitoring the growth rate of vacant houses in specific areas to assess the decline of local commercial districts and using it as a basic indicator for support policies for small business owners.</dct:description>
                <dct:title xml:lang="kr">인천광역시 부평구_동별빈집현황</dct:title>
                <dct:title xml:lang="en">Bupyeong-gu, Incheon_Status of empty houses by Dongbyeol</dct:title>
                <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-04-08</dct:issued>
                <dct:modified rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-04-08</dct:modified>
                <dct:publisher>
                    <foaf:Organization>
                        <foaf:name>인천광역시 부평구</foaf:name>
                        
                    </foaf:Organization>
                </dct:publisher>
                <dcat:contactPoint>
                    <vcard:Organization>
                        <vcard:organization-unit>홍보담당관</vcard:organization-unit>
                        <vcard:hasTelephone rdf:resource="032-509-3124"/>
                    </vcard:Organization>
                </dcat:contactPoint>
                <dct:conformsTo ></dct:conformsTo>
                <dcat:theme>지역개발 - 지역및도시</dcat:theme>
                <dcat:keyword xml:lang="kr">주택,공가,폐가,빈집,주거환경</dcat:keyword>
                <dcat:keyword xml:lang="en">house,Vacant house,Abandoned house,Empty house,residential environment</dcat:keyword>
                <dct:rights>이용허락범위 제한 없음</dct:rights>
                <dct:accrualPeriodicity>연간</dct:accrualPeriodicity>
                
                <dcat:landingPage rdf:resource="https://www.data.go.kr/data/15043444/fileData.do"/>
                <dcat:distribution>
                    <dcat:Distribution>
                        <dct:accessURL ></dct:accessURL>
                        <dcat:description></dcat:description>
                        <dcat:format>csv</dcat:format>
                        <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-04-08</dct:issued>
                        <dcat:title>인천광역시 부평구_동별빈집현황_20260408</dcat:title>
                    </dcat:Distribution>
                </dcat:distribution>
                <dct:spatial></dct:spatial>
                <dct:temporal></dct:temporal>
            </dcat:Dataset>
        </dcat:dataset>

        
    </dcat:Catalog>
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