• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.259-263
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• 2006

Civil appeals under constructions cause a lot of difficulties of doing construction because of compensations, interruption of works, administrative punishments, etc. So this research focused on the characteristics of civil complaints against constructions by analyzing the causes of civil appeals and treatment conditions classified by year, geography, and breaking time. This research indicates three points. (l) As the level of civil life and consciousness is increased, the number of civil appeals against constructions are tending upwards in view of the results so far achieved by year. (2) Analysis about civil appeals classified by geography shows that the rate of civil affairs in Gang-nam District are higher than that of others.(3) 96% of the civil appeals by breaking time are occurred under the constructions. By predicting and treating of what type of civil appeals are occurred, this research can be used as data which make damage minimized.

• Korean Architects
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• s.571
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• pp.177-228
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• 2016

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.154-156
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• 2023

등대는 일반적으로 해양에 돌출한 섬, 곶 등 육지와 해상이 만나는 곳 끝단에 설치되지만, 묵호·주문진등대의 경우 내륙 안쪽에 위치하여 주변 주거지역 건축으로 인해 항로표지 기능 효율 저하로 인한 항로표지 기능검토 민원커리 사례가 발생하여 이에 따른 민원처리 방안 및 해결방안 제안한다.

• Korean Architects
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• s.572
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• pp.155-200
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• 2016

• Korean Architects
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• s.633
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• pp.110-111
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• 2022

• 건축구조
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• v.21 no.3
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• pp.68-74
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• 2014

• Proceedings of the Korean Society for Rock Mechanics Conference
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• 1997.03a
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• pp.1-40
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• 1997

현재 우리나라에는 다양한 사회간접자본의 건설이 실행되고 있다. 사회간접자본의 건설은 국가의 장기적인 성장을 위하여 필요한 공공적인 사업이지만 필수적으로 대형의 건설작업이 수반하기 마련이다. 이미 인구의 집중도가 높은 도시지역은 물론이고 농어촌지역에 이르기까지 이들 건설사업으로 인한 진동과 소음 문제로 민원이 끊이지 않고 있는 형편이다. 특히 오랜 개발도상의 기간에 일방적으로 보호되지 못하였던 시민의 권리가 요지음 집단민원의 제기라는 형태로 표출되었고 이 과정에서 진정한 민원피해의 발생여부를 가릴 수 있는 기준이 필요하게 되었다. (중략)

• 주택과사람들
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• s.10
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• pp.1-1
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• 1991

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.3
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• pp.95-102
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• 2018

In order to understand interaction between building users' occupant performance and building maintenance performance of maintenance management personnel, actual data from maintenance activities of buildings were analyzed. Also, using building defect customer complaint data reported by building user, satisfaction data on building maintenance services of building users and service response time of maintenance management personnel, a method for evaluating interaction of buildings with the same purpose and same size was proposed. Throughout analysis, average number of occurrences per unit area per year for the mechanical complaints in complex building were presented. In addition, using building users' satisfaction with facility management services, attitude of responding to business obstacles, number of occurrences per unit area per year of mechanical complaints and complaint processing speed, interaction was comprehensively identified and compared.

• Journal of Intelligence and Information Systems
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• v.25 no.4
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• pp.35-52
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• 2019

As public services are provided in various forms, including e-government, the level of public demand for public service quality is increasing. Although continuous measurement and improvement of the quality of public services is needed to improve the quality of public services, traditional surveys are costly and time-consuming and have limitations. Therefore, there is a need for an analytical technique that can measure the quality of public services quickly and accurately at any time based on the data generated from public services. In this study, we analyzed the quality of public services based on data using process mining techniques for civil licensing services in N city. It is because the N city's building license complaint service can secure data necessary for analysis and can be spread to other institutions through public service quality management. This study conducted process mining on a total of 3678 building license complaint services in N city for two years from January 2014, and identified process maps and departments with high frequency and long processing time. According to the analysis results, there was a case where a department was crowded or relatively few at a certain point in time. In addition, there was a reasonable doubt that the increase in the number of complaints would increase the time required to complete the complaints. According to the analysis results, the time required to complete the complaint was varied from the same day to a year and 146 days. The cumulative frequency of the top four departments of the Sewage Treatment Division, the Waterworks Division, the Urban Design Division, and the Green Growth Division exceeded 50% and the cumulative frequency of the top nine departments exceeded 70%. Higher departments were limited and there was a great deal of unbalanced load among departments. Most complaint services have a variety of different patterns of processes. Research shows that the number of 'complementary' decisions has the greatest impact on the length of a complaint. This is interpreted as a lengthy period until the completion of the entire complaint is required because the 'complement' decision requires a physical period in which the complainant supplements and submits the documents again. In order to solve these problems, it is possible to drastically reduce the overall processing time of the complaints by preparing thoroughly before the filing of the complaints or in the preparation of the complaints, or the 'complementary' decision of other complaints. By clarifying and disclosing the cause and solution of one of the important data in the system, it helps the complainant to prepare in advance and convinces that the documents prepared by the public information will be passed. The transparency of complaints can be sufficiently predictable. Documents prepared by pre-disclosed information are likely to be processed without problems, which not only shortens the processing period but also improves work efficiency by eliminating the need for renegotiation or multiple tasks from the point of view of the processor. The results of this study can be used to find departments with high burdens of civil complaints at certain points of time and to flexibly manage the workforce allocation between departments. In addition, as a result of analyzing the pattern of the departments participating in the consultation by the characteristics of the complaints, it is possible to use it for automation or recommendation when requesting the consultation department. In addition, by using various data generated during the complaint process and using machine learning techniques, the pattern of the complaint process can be found. It can be used for automation / intelligence of civil complaint processing by making this algorithm and applying it to the system. This study is expected to be used to suggest future public service quality improvement through process mining analysis on civil service.