지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2023.2
- 수록면
- 189 - 221 (33page)
- DOI
- 10.35227/HYLR.2023.2.34.1.189
이용수
DBpia Top 10%동일한 주제분류 기준으로최근 2년간 이용수 순으로 정렬했을 때
해당 논문이 위치하는 상위 비율을 의미합니다.
초록· 키워드
오류제보하기
In the era of the 4th Industrial Revolution, with the revitalization of smartphones, it has various channels and is facing a new environment where the boundaries between online and offline areas disappear due to the advent of technologies such as sensor-based beacons. The so-called Online to Offline (O2O) industry is growing. O2O refers to a new business model that stimulates consumers’ purchases through marketing that literally connects online and offline to integrate consumption channels. With the growth of the O2O industry, taxi platforms that call taxis through mobile apps are rapidly spreading into daily consumption. The use of taxi applications (taxi platforms) that allow simple taxi calls by entering the departure and destination in advance is also increasing. Instead of catching a taxi with your hands up on the street, calling a taxi with a smartphone taxi calling app has become more familiar. A considerable number of calls are made using Kakao Taxi.
Consumers can check real-time calling vehicle information and estimated fees through the taxi platform and use the service through the automatic payment function in the app. Currently, Kakao T, which has the highest market share, has a nationwide taxi driver subscription rate of 92.8% (220,000 out of 240,000), and Kakao T"s monthly active users (MAU) reached 10.16 million as of August 2021. At a time when the number of taxi calls using Kakao T is increasing, the abuse of the platform monopoly by Kakao, which operates the so-called taxi platform, is often reported in the media. Therefore, it is necessary to accurately understand the specific method of calling and using taxis through Kakao T and the current state of dissatisfaction of consumers who are customers in such use, and to regulate unfair trade practices using so-called platforms.
In particular, algorithm information for the call allocation scheme needs to be disclosed. The algorithm information itself is a trade secret of a company, so it is not necessary to disclose all of it, but at least information about the vehicle allocation method should be disclosed. It is a question of whether there is discrimination against allocation by rating or grade. Many taxi drivers recognize that there is discrimination against allotment by rating or grade. Ratings for taxi drivers, or evaluation scores, may be necessary for good service. However, if fairness and objectivity are not guaranteed, discrimination based on the evaluation should also be recognized as violence. Therefore, the data-based algorithm system, such as driver"s score, number of completed operations, and past vehicle allocation acceptance rates, also needs to be disclosed in more detail.
In addition, the calling fee for the taxi platform has been 6 : 4 between taxi operators and the platform for the existing calling fee of 1,000 won. In a situation where the call fee has changed from 1,000 won to 5,000 won, information on how the call fee is distributed needs to be disclosed. The act of not informing passengers clearly about the cancellation fee is also an act that violates the interests of consumers. The Fair Trade Commission shall continue to conduct fact-finding surveys, monitoring the relevant markets, and, if necessary, prepare standard articles of incorporation to eradicate unfair practices in the taxi platform market.
Consumers can check real-time calling vehicle information and estimated fees through the taxi platform and use the service through the automatic payment function in the app. Currently, Kakao T, which has the highest market share, has a nationwide taxi driver subscription rate of 92.8% (220,000 out of 240,000), and Kakao T"s monthly active users (MAU) reached 10.16 million as of August 2021. At a time when the number of taxi calls using Kakao T is increasing, the abuse of the platform monopoly by Kakao, which operates the so-called taxi platform, is often reported in the media. Therefore, it is necessary to accurately understand the specific method of calling and using taxis through Kakao T and the current state of dissatisfaction of consumers who are customers in such use, and to regulate unfair trade practices using so-called platforms.
In particular, algorithm information for the call allocation scheme needs to be disclosed. The algorithm information itself is a trade secret of a company, so it is not necessary to disclose all of it, but at least information about the vehicle allocation method should be disclosed. It is a question of whether there is discrimination against allocation by rating or grade. Many taxi drivers recognize that there is discrimination against allotment by rating or grade. Ratings for taxi drivers, or evaluation scores, may be necessary for good service. However, if fairness and objectivity are not guaranteed, discrimination based on the evaluation should also be recognized as violence. Therefore, the data-based algorithm system, such as driver"s score, number of completed operations, and past vehicle allocation acceptance rates, also needs to be disclosed in more detail.
In addition, the calling fee for the taxi platform has been 6 : 4 between taxi operators and the platform for the existing calling fee of 1,000 won. In a situation where the call fee has changed from 1,000 won to 5,000 won, information on how the call fee is distributed needs to be disclosed. The act of not informing passengers clearly about the cancellation fee is also an act that violates the interests of consumers. The Fair Trade Commission shall continue to conduct fact-finding surveys, monitoring the relevant markets, and, if necessary, prepare standard articles of incorporation to eradicate unfair practices in the taxi platform market.
#택시 플랫폼
#소셜 네트워크 서비스
#카카오T
#콜 몰아주기
#자사우대행위
#콜 차단 행위
#교차플랫폼 배제행위
#대소비자 우월적 지위 남용 가이드라인
#콜배차 알고리즘의 정보 공개
#Taxi platforms
#social network services
#Kakao T
#call concentration
#company preferential behavior
#call blocking behavior
#cross-platform exclusion behavior
#consumer superiority abuse guidelines
#call allocation algorithm information disclosure
목차
Ⅰ. 서론
Ⅱ. 택시 플랫폼의 운영 현황과 문제점
Ⅲ. 택시 플랫폼 문제의 해결을 위한 방안
Ⅳ. 결론
참고문헌
Abstract
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
경기도 택시운행 특성 및 정책적 활용방안
정책연구
2022 .11
-
경기도 택시운송사업 면허제도 개선방안
정책연구
2020 .11
-
택시 운수종사자 처우개선 지원을 위한 기초연구
정책연구
2020 .10
-
앱틱시 활성화 따른 택시 운행행태의 변화와 관리방안
서울연구원 정책과제연구보고서
2016 .08
-
경기도 택시사업구역 조정방안 연구
정책연구
2018 .05
-
택시서비스 품질 저하의 선행요인들에 관한 실증적 연구 : 서울지역 택시의 교통사고율을 중심으로
한국경영과학회지
2015 .11
-
경기도 택시 운수종사자 쉼터시설 개선방안
정책연구
2021 .07
-
경기도 지역간 택시요금 및 할증요금체계의 합리성에 관한 연구
정책연구
2022 .06
-
경기복지택시 운영 합리화 방안
정책연구
2018 .12
-
모빌리티 플랫폼의 고객 이탈방지 방안
한국경영과학회 학술대회논문집
2021 .06
-
카카오택시의 O2O 서비스 이용의도에 미치는 영향분석
인터넷전자상거래연구
2017 .06
-
스마트폰 애플리케이션의 편의성과 지속사용의도에 관한 연구 : 카카오 택시 애플리케이션을 대상으로
인터넷전자상거래연구
2016 .12
-
시뮬레이션을 이용한 전기택시 충전가격 연구
인터넷전자상거래연구
2015 .12
-
승차공유 앱에 대한 택시관련 규제체계의 대응과 수용가능성: 미국과의 비교를 중심으로
입법과 정책
2019 .01
-
경기도 CNG 택시 도입 확대 방안
정책연구
2019 .07
-
택시업종 전액관리제 정착을 위한 방안 연구
노동법포럼
2023 .11
-
택시총량 운영제도의 문제점 및 개선방안 연구
정책연구
2016 .12
-
모빌리티 플랫폼의 재이용 의도에 대한 연구: 대학생의 카카오 택시 서비스 이용을 중심으로
한국생산관리학회지
2024 .02
-
우버택시와 적합성에 대한 연구
법학연구
2015 .12
이 논문의 저자 정보
이 논문과 함께 이용한 논문
경기도 택시운행 특성 및 정책적 활용방안
송제룡
,
김현주
정책연구
2022
.11
광주광역시 전기자동차 택시 도입효과 추정
정종문
,
박상준
대한교통학회지
2023
.02
서울시 장애인 콜택시 이용특성 및 대기시간 영향 요인 분석 : 장애인 콜택시 빅데이터와 Community Detection을 활용하여
이지민
,
이수기
국토계획
2023
.02
택시 합승 서비스에서의 지체 시간 감소를 위한 대안 승/하차 지점 탐색 알고리즘 개발
박성연
,
김동규
대한교통학회 학술대회지
2022
.09
택시 플랫폼 이용 실태조사
윤혁
조사보고서
2022
.08
최근 본 자료
댓글(0)
0