RISS 학술연구정보서비스

검색

인기 검색어

    다국어 입력

    http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

    변환된 중국어를 복사하여 사용하시면 됩니다.

    예시)
    • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
    • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
    닫기
    KCI등재

    도시정비사건 소송의 본안전항변사유와 본안쟁점사항에 관한 분석 - 인용률 및 행렬표식 분석기법을 활용한 - = Analysis by Defensive Process Prerequisite and Offensive Cause of Action on the Merits of Lawsuit Cases in Urban and Housing Redevelopment - Based on Affirm-Rate and Staircase Matrix Tables -

    한글로보기

    https://www.riss.kr/link?id=A106370992

    • 0

      상세조회
    • 0

      다운로드
    서지정보 열기
    • 내보내기
    • 내책장담기
    • 공유하기
      • URL 복사
    • 오류접수
    인용문이 복사되었습니다.

    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study explored to analyze the winning determinants of the lawsuit cases on the urban and housing redevelopment project based on jurimetric methods. Based on affirm-rate and staircase matrix tables, 441 lawsuit judgments are analyzed. Research findings in affirm-rate analysis indicate that past legal relation, no own defect of accreditation, no ownership or association member status, lapse of period of litigation, and no legal interest are identified as higher rate in order for the reason for plea on the merit. And so are defect on calculation of consent rate, defect in relation with written consent, approval before zoning designation, defect in relation with general meeting, and defect on zoning designation for the issue on the merit. It is noteworthy from the staircase matrix table analysis that the criteria for affecting the lawsuit outcome is determined based on key forecasting variables such as past legal relation and no ownership or association member status. This study intends to provide the implication that the unnecessary disputes can be reduced in the urban and housing redevelopment project by the implementation of jurimetric quantitative analysis methodology from the perspective of empirical law.
    번역하기

    This study explored to analyze the winning determinants of the lawsuit cases on the urban and housing redevelopment project based on jurimetric methods. Based on affirm-rate and staircase matrix tables, 441 lawsuit judgments are analyzed. Research fin...

    This study explored to analyze the winning determinants of the lawsuit cases on the urban and housing redevelopment project based on jurimetric methods. Based on affirm-rate and staircase matrix tables, 441 lawsuit judgments are analyzed. Research findings in affirm-rate analysis indicate that past legal relation, no own defect of accreditation, no ownership or association member status, lapse of period of litigation, and no legal interest are identified as higher rate in order for the reason for plea on the merit. And so are defect on calculation of consent rate, defect in relation with written consent, approval before zoning designation, defect in relation with general meeting, and defect on zoning designation for the issue on the merit. It is noteworthy from the staircase matrix table analysis that the criteria for affecting the lawsuit outcome is determined based on key forecasting variables such as past legal relation and no ownership or association member status. This study intends to provide the implication that the unnecessary disputes can be reduced in the urban and housing redevelopment project by the implementation of jurimetric quantitative analysis methodology from the perspective of empirical law.

    더보기

    참고문헌 (Reference)

    1 Yale Law School, "Spring 2017 Course Information" Yale University

    2 Saks, Michael J., "Parallels in Law and Statistics : Decision Making under Uncertainty" 52 (52): 117-122, 2012

    3 Keown, R., "Mathematical Models for Legal Prediction" 829-862, 1980

    4 Steckman, Kris, "Market-Based Prediction Models as an Aid to Litigation Strategy and Settlement Negotiations" 244-272, 2009

    5 Loevinger, Lee, "Jurimetrics ; Science and Prediction in the Field of Law" 46 : 255-260, 1962

    6 Baade, Hans Wolfgang, "Jurimetrics" Basic Books 1963

    7 Nagel, Stuart S., "Judicial Prediction and Analysis From Empirical Probability Tables" 41 (41): 403-419, 1966

    8 Havard Law School, "Course Catalog 2017-2018" Havard University

    9 Nagel, Stuart S., "Case Prediction by Staircase Tables and Percentaging" 25 (25): 168-195, 1985

    1 Yale Law School, "Spring 2017 Course Information" Yale University

    2 Saks, Michael J., "Parallels in Law and Statistics : Decision Making under Uncertainty" 52 (52): 117-122, 2012

    3 Keown, R., "Mathematical Models for Legal Prediction" 829-862, 1980

    4 Steckman, Kris, "Market-Based Prediction Models as an Aid to Litigation Strategy and Settlement Negotiations" 244-272, 2009

    5 Loevinger, Lee, "Jurimetrics ; Science and Prediction in the Field of Law" 46 : 255-260, 1962

    6 Baade, Hans Wolfgang, "Jurimetrics" Basic Books 1963

    7 Nagel, Stuart S., "Judicial Prediction and Analysis From Empirical Probability Tables" 41 (41): 403-419, 1966

    8 Havard Law School, "Course Catalog 2017-2018" Havard University

    9 Nagel, Stuart S., "Case Prediction by Staircase Tables and Percentaging" 25 (25): 168-195, 1985

    더보기

    분석정보

    View

    상세정보조회

    0

    Usage

    원문다운로드

    0

    대출신청

    0

    복사신청

    0

    EDDS신청

    0

    동일 주제 내 활용도 TOP

    더보기

    주제

    연도별 연구동향

    연도별 활용동향

    연관논문

    연구자 네트워크맵

    공동연구자 (7)

    유사연구자 (20) 활용도상위20명

    인용정보 인용지수 설명보기

    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2027 평가 재인증평가 신청대상 (재인증)
    2021-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2018-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2015-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2011-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2009-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2008-12-23 학술지명변경 한글명 : 건설관리 -> 한국건설관리학회 논문집 KCI등재
    2006-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2005-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2003-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
    더보기

    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.54 0.54 0.54
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.53 0.5 0.772 0.22
    더보기

    이 자료와 함께 이용한 RISS 자료

    나만을 위한 추천자료

    해외이동버튼