PURPOSES : This study aims to suggest how to utilize "standby data" of shared mobility that does not contain personal information and examine whether "standby data" can derive existing shared mobility operation analysis items similarly. METHODS : An existing Personal Mobility (PM) traffic pattern analysis was performed by identifying the user (User ID) and the user's route in a time frame. In this study, the PM traffic pattern analysis focuses on a vehicle (ID of the standby vehicle) and its standby location. We examined whether the items derived from the User ID-based traffic pattern analysis could also be derived from the standby Vehicle ID-based analysis. RESULTS : The analysis showed that all five items (traffic volume by time slot, peak time, average travel time, average travel distance, and average travel speed) of the existing User ID-based PM travel analysis result could be derived similarly using the standby Vehicle ID-based PM traffic analysis. However, the disadvantage is that the average driving distance is calculated as a straight-line distance. It seems possible to overcome this limitation by correcting the average driving distance through linkage analysis with road network data. However, it is not possible to derive the instantaneous maximum speed or acceleration/deceleration. CONCLUSIONS : In an era in which various means of transportation are being introduced, data sharing is not preferred because of legal issues.Consequently, it is difficult to understand the use of new means of transportation and formulate new policies. To address this, data sharing can be active based on standby data that is not related to personal information.

PURPOSES : This study proposes a method for comparative analysis, based on geographic information systems (GIS), that can be used when introducing demand-responsive transit in areas where public transportation is not available. METHODS : To analyze areas where public transportation is neglected, bus stop location information, building location information, and administrative district boundary data for the census were acquired. Geocoding was used for address-based raw data to create a spatial database. Based on the collected data, the proportion of households separated by a certain minimum distance from a bus stop was aggregated and constructed through near analysis. When introducing a demand-responsive transit system, the operational cost was calculated and compared with the existing city bus transportation cost. RESULTS : Results show that the operating costs of introducing demand-responsive transit can be compared and analyzed using the proposed method, for a case study of Daejeon Metropolitan City. CONCLUSIONS : It is economically efficient to avoid the entry of route buses and introduce demand-responsive transit in areas isolated from public transportation where the number of people getting on and off is extremely low.

PURPOSES : The purpose of this study was to improve the performance of concrete pavements by measuring the unit-water content with an Internet-of-Things (IoT)-based unit-water content measurement device at an increased precision compared with that of existing measuring equipment. METHODS : We calculated the properties of concrete that varied according to variations in the unit-water content. To confirm the change in the performance of concrete pavements, we compared and analyzed the fatigue cracking rate and international roughness index of concrete pavements at the 20-year point of public use according to the changes in properties using the Korea Pavement Research Program(KPRP). RESULTS : We confirmed that IoT-based measurement equipment can improve the performance of pavements without changing their mixing designs or specifications. We confirmed that the performance of the concrete pavements changed significantly, even with unit-water content variations within the range of quality standards. According to IoT-based unit-water content management, we confirmed that the performance of the concrete pavement (fatigue cracking rate and international roughness index) improved without changing the mixing design. CONCLUSIONS : We confirmed that by using IoT-based unit-water content management, pavement performance can be improved. It is necessary to consider whether the application of this concept to other concrete property management items, such as the chloride content, is possible. Considering the changes in concrete properties according to the unit-water content based on laboratory tests and considerations of various load conditions will be necessary for future research.

생산적인 인문학기반 융합연구를 위해서는 방법론에 관한 고찰이 필요하다. 본고의 목적은 현상학과 인지 과학의 융합연구라는 맥락 안에서 이러한 방법론의 사례를 소개하고 평가하는 것이다. 본고는 에드문트 후설의 시간의식 현상학을 신경과학 연구에 선행적재하는 프란시스코 바렐라의 신경현상학 연구를 소개 하고, 이러한 방법론의 의의와 한계, 그리고 인문학기반 융합연구에 대한 시사점을 평가한다. 바렐라의 연구는 현상학의 현재장 분석, 즉 파지-근원인상-예지 구조를 동역학 이론을 매개로 뇌 활동이라는 생물 학적 기반과 연결한다. 이에 따르면 뇌 활동은 기초 규모, 통합 규모, 서사 규모라는 시간성의 세 규모에서 일어나는데, 특히 통합 규모가 현재장에 상응한다. 이러한 연구의 의의는 시간의식을 설명하는 매개를 제공한다는 점, 그리고 의식의 ‘어려운 문제’와 관련하여 ‘설명 간극’에 다리를 놓는다는 점이다. 그러나 이 연구의 한계는 ‘의식의 시간’을 가지고 ‘시간의 의식’을 설명하는 오류를 범한다는 점, 그리고 체험과 신경과정 사이의 동형성 이상을 제공하기 어렵다는 점이다. 나아가 이 연구가 인문학기반 융합연구에 대해 시사하는 점은 인문학이 자신의 고유한 이념과 방법론을 유지해야 한다는 점, 그리고 인문학이 과학 의 이론적 토대로서 기여할 수 있다는 점이다.