Earticle

초록

영어

This study deals with the taxi supply models based on the urban characteristics. The objective is to develop the appropriate taxi supply model to the urban characteristics by type, after classifying Korea cities and counties with the various urban indices. The study gives particular attentions to the multiple regression analyses and neural network models. Five significant factors are induced, through the factor analysis based on the 18 urban indices. All cities and counties are classified by 4 groups according to the cluster analysis. F-tests indicate that the differences of taxi supply size exist among urban groups classified by factor 1, 2 and 3. Multiple regression analyses show that the models by urban groups classified by the factor 1 are well fitted to the given data. Also the neural network models are better than multiple regression models in the view of fitness to the given data.

목차

Abstract:
 1. 서론
 2. 이론적 고찰
  2.1 기존연구의 검토
  2.2 분석방법론의 정립
 3. 도시지표와 택시공급의 관계
  3.1 요인분석
  3.2 군집분석
 4. 도시유형별 택시공급모형
  4.1 다중회귀모형
  4.2 신경망모형
  4.3 두 모형의 비교
 5. 결론
 참고문헌

키워드

저자

• 박병호 [ Park, Byung-Ho | 충북대학교 도시공학과 교수 ]
• 임성한 [ Lim, Sung-Han | 한국건설기술연구원 위촉연구원 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국지역개발학회지 [Journal of the Korean Regional Development Association]

• 간기

  연5회

• pISSN

  1225-9055

• 수록기간

  1989~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 322 DDC 330