• Title/Summary/Keyword: Rental System

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An Exploratory Study on Sharing Economy Network Building in Local Destinations : Perception of the Sharing Economy Services of Accommodation and Car Rental in Local Communities (지역관광지의 공유경제 네트워크 구축을 위한 탐색적 고찰 : 지역사회 기반 숙박 및 차량 공유경제서비스 운영에 대한 인식을 중심으로)

  • Min, Woongki;Kim, Sangtae
    • 지역과문화
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    • v.6 no.1
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    • pp.1-27
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    • 2019
  • The study explores the way how sharing economy services of accommodation and car rental, one of social issues actively discussed today are settled in the process of sharing economy building in local destinations. The result shows that average consumers expressed their favorable attitude toward the sharing economy services. However, the consumer's attitude didn't directly affect the consumer's positive perception that there is need for local sharing economy service network and the educational system for local residents and the network helps the economy. Instead consumer's knowledge of sharing economy services and their eagerness to learn the knowledge as parameters related the consumer's attitude to their perceptions; the consumer's attitude affected indirectly their perceptions. The study shows that local communities and their residents' efforts are not enough simply to activate the sharing economy services in the development process of tourist resources, while it asks consumers to learn information and knowledge of the sharing economy. Therefore, consumers and residents should interact and communicate closely with each other to help the development of local destinations and tourist resources based on sharing economy.

Efficient Management of Rental Logistics Industry (랜탈 물류산업의 효율적 운영방안)

  • 김준효;양광모;강경식
    • Proceedings of the Safety Management and Science Conference
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    • 2002.11a
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    • pp.227-232
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    • 2002
  • Enormous flocks by the reduced life cycle of products caused by the technological innovation if later 20 century, development of new materials and diversified demands of customers appeared as the pressing element causing the trouble in management of companies, and when considering the logistic costs that are imposed to companies in terms of function, the costs related to the stock topped the list of costs, followed by the transportation ones, and for pallet pool system, inventory of stocks is very difficult by the number of companies. Reducing the logistic cost may be accomplished by numbers of logistic management methods, but the most fundamental and essential one is the accomplishment of the consistent pallet system that is the core of unit load system, and the purpose of consistent pallet system is the treatment of logistic functions such as transportation, storage and unloading with consistent pallet system, and increasing the turnover ratio is required for the improvement of the system. As the turnover ratios is increased, more pallets will be used so, numbers of empty pallets will be increased accordingly by returning the pallet. Therefore, in this study, we will establish the effective stock management system by comparing with the other existing stock management system after looking at the concept and examples of pallet full system in order to resolved this kind of problem.

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Estimation of Optimal Fare for Cloud Transportation System (클라우드교통시스템의 최적 요금 산정)

  • Ryu, Seong Beom;Bae, Sang Hoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.5
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    • pp.1969-1980
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    • 2013
  • The Traffic congestion is caused by the increasing traffic demand. Thus, economic losses have been increasing every year. To solve these problems, car sharing and rental car systems that are equipped with IT technologies emerge. Car sharing has many advantages-the alleviation of the traffic congestion, the saving of maintenance cost for cars, the reduction of car possessiveness, the solution for the hassle of car ownership, for business and personal duty, and the improvement of connectivity between public transportations-. The goal of the car sharing is to achieve low-carbon and eco-friendly transportation. In this study, we review papers related to the car sharing system and the cost system of traffic systems. We estimate the optimal cost of the cloud traffic system that is one of the car sharing services. We suggest a methodology to estimate operational cost and use cost through the analysis of cost system between similar traffic means. The range of the maximum and minimum cost was determined through the comparison and analysis of similar traffic means. Expected demand and the cost that people are willing to pay were estimated through optimized value pricing. The minimum cost per hour that was compared to the cost of rental car was estimated at 5,333 won and the maximum cost per hour that was compared to taxi cost was estimated at 17,700 won. The cost for users was estimated at 6,930 won. The cost of 50% demands was estimated at 6,550won. Future studies should analyze service hours of users, weather, demand pattern and trend and consider them into the cost estimation.

Design and Implementation of On-line Reservation Systems on Web (웹 상에서의 온라인예약시스템 설계 및 구현)

  • 고석용;김휴찬;강태석
    • Journal of the Korea Computer Industry Society
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    • v.2 no.6
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    • pp.783-790
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    • 2001
  • Until now, the difficulties in embedding e-Business for traditional small enterprises are the short of capable person, the deficit of information budget, the lack of the information mind. However the techniques related to internet provide a variety of alternatives which maximize the effects cutting down expenses. This paper shows the methods of constructing a rental system on internet using the softwares of LINUX to deal with not receiving reservations but also managing the business. The constructing this system have great effects in many parts of the business, like 37% rising in selling.

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Analysis for Safety and Traffic Accident Case of ATV (All-Terrain Vehicle) (사륜 오토바이의 안전 및 교통사고 사례 분석)

  • Choi, Youngsoo;Yoon, Yongmoon;Park, Jongchan
    • Journal of Auto-vehicle Safety Association
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    • v.14 no.2
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    • pp.83-89
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    • 2022
  • Recently, the use of ATV (All-Terrain Vehicle) has increased due to increase in leisure activities, and the awareness of safety and traffic accidents has improved, but it still insignificant compared to other transportation. Therefore, in this study, the current status and characteristics of traffic accidents related to ATVs were investigated, and actual ATV accident was analyzed. As a result, it was confirmed that the condition of the braking system directly connected to the safety of the ATV was not well maintained. For driver safety in the future, it is considered that it is necessary to strengthen safety regulations related to experience centers and rental companies handling AVTs and to conduct regular inspections in accordance with the Motor Vehicle Management Act.

Smart Pricing in Action: The Case of Asset Pricing for a Rent-a-Car Company

  • Chang Hee Han;Seongmin Jeon;Sangchun Shim;Byungjoon Yoo
    • Asia pacific journal of information systems
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    • v.29 no.4
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    • pp.673-689
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    • 2019
  • The Internet enables businesses to acquire a great deal of information, including prices in the open markets. In this study, we investigate what the value of reference price information is to a company in the market and how the company can make use of such information. Using business analytics, we were able to estimate prices of used cars for a rent-a-car company. The results show that a smart pricing information system is useful for collecting online reference price information and for estimating future prices of used cars and rental prices.

ICT Convergence Public Bicycle System using Smart Phones (스마트폰을 이용한 융복합 공공자전거 시스템)

  • Jeong, Kyu-Man
    • Journal of Digital Convergence
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    • v.13 no.4
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    • pp.247-252
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    • 2015
  • The earth has been suffering from global warming and experiencing unusual weather caused by increased fossil fuel usage in the industrialization period. In spite of the continuous effort to resolve the problem, the amount of fossil fuel usage is increasing constantly. Public bicycle system has been introduced as a solution to the fundamental problem of the existing public transportation systems. Also public bicycle system has another advantage that riding bicycle can keep the users in good health. In this paper, a new ICT convergence public bicycle system is presented which resolves the problems of existing public bicycle systems. The presented system has strong points in low installation fee and low maintenance expenses. The effectiveness of the presented system will be proven by analyzing case studies.

A study on the Supporting Program for Integrated Rehabilitation of Deteriorated Public Housing Blocks : Focused on the HOPE SF in San Francisco (노후 공공주택단지의 통합적 재생을 위한 지원제도에 관한 연구 : 샌프란시스코시 HOPE SF 프로그램을 중심으로)

  • Yoon, Hye-Yeong;Yoo, Hae-Yeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.4
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    • pp.2807-2817
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    • 2015
  • The purpose of this study is to draw out implications and directions for improvements on national public rental housing policy by examining SF's public rental housing policy and conditions for low income households, and analyzing 'multilateral considerations for residents and communities' and 'concrete case and policy for support' which are discovered in process of re-development of large-scale public housing revitalization. The results were as follows: First of all, HOPE SF ensures to involve resident as participant in entire project considering exist communities and resettlement of resident. Secondly, HOPE SF supported to enhance the lives of existing residents and their community through integrated support system. Thirdly, HOPE SF collaborated with various participants as partner of city's rehabilitation, thus, invite community opinion to build a sense of cohesion. And for last, HOPE SF tried to create a new financial model for sustainable and practicable rehabilitation.

A Study on the Factors Affecting in Working Poor Household's Residential Ascend Mobility (근로빈곤가구의 주거 상향이동에 영향을 미치는 요인에 관한 연구)

  • Kim, Kyoung-Huy
    • Korean Journal of Social Welfare Studies
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    • v.40 no.3
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    • pp.149-179
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    • 2009
  • Purpose of this study is to know what is the factors affecting in working poor household's residential ascend mobility. As a result, Working poor household residential ascend mobility is affecting from age, education, work ability, household type, child, asset, public assistance, region, house position, minimum housing facilities, housing environment, education facilities, lastingness rental apartment, nation rental apartment, the lease of a house on a deposit basis, monthly rent, loaning delay times, debt. Main implication is as following Analysis. First, When housing policies establish, Working poor household's characteristics and individual characteristics should be considered enough by welfare policies aspect. For this, Rent assistance system have to be enforced for working poor household's house loan. Second, Working poor household's guarantee of financial Accessibility for house loan. Finally, Working poor household's residential problem may be solved though efforts that can heighten enough public information and the utilization rate about various in government's house policies.

Demand Forecasting Model for Bike Relocation of Sharing Stations (공유자전거 따릉이 재배치를 위한 실시간 수요예측 모델 연구)

  • Yoosin Kim
    • Journal of Internet Computing and Services
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    • v.24 no.5
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    • pp.107-120
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    • 2023
  • The public bicycle of Seoul, Ttareungyi, was launched at October 2015 to reduce traffic and carbon emissions in downtown Seoul and now, 2023 Oct, the cumulative number of user is upto 4 million and the number of bike is about 43,000 with about 2700 stations. However, super growth of Ttareungyi has caused the several problems, especially demand/supply mismatch, and thus the Seoul citizen has been complained about out of stock. In this point, this study conducted a real time demand forecasting model to prevent stock out bike at stations. To develop the model, the research team gathered the rental·return transaction data of 20,000 bikes in whole 1600 stations for 2019 year and then analyzed bike usage, user behavior, bike stations, and so on. The forecasting model using machine learning is developed to predict the amount of rental/return on each bike station every hour through daily learning with the recent 90 days data with the weather information. The model is validated with MAE and RMSE of bike stations, and tested as a prototype service on the Seoul Bike Management System(Mobile App) for the relocation team of Seoul City.