• Title/Summary/Keyword: Parking Demand

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A Study on Introduction and Activation Plan of P2P Car Sharing -For the Apartment Complex in Seoul- (P2P 카셰어링 도입 및 활성화 방안 연구 -서울시 아파트 단지를 대상으로-)

  • Jang, Jun-Seok;Rho, Jeong-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.2
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    • pp.47-60
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    • 2017
  • Car sharing, which is considered as a good example of innovation in the transportation sector, is a type of use in which a plurality of people share a single vehicle for a short period of time. It is divided into various types, NFP (Not For Profit) operated by a non-profit organization, B2C (Business to Customer), which is operated by a company, and Peer to Peer (P2P), which is directly connected to an individual. Among them, P2P car sharing is a method of sharing personal vehicles owned by individuals. It has the merit of reducing traffic congestion and providing for efficient traffic demand management by reducing the purchase rate of additional vehicles and minimizing the number of idle ones. This study examines the introduction of P2P car sharing in order to develop a traffic demand management policy and facilitate the transition to a sustainable transportation system. The spatial extent of the study consisted of apartment complexes in Seoul. In apartment complexes, it is possible to minimize the level of expenditure, such as operating expenses, by utilizing the APT management office and there is no difficulty in securing the necessary parking space. Therefore, apartment complexes were selected as the spatial range.

A Study on the Determinants of Demand for Visiting Department Stores Using Big Data (POS) (빅데이터(POS)를 활용한 백화점 방문수요 결정요인에 관한 연구)

  • Shin, Seong Youn;Park, Jung A
    • Land and Housing Review
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    • v.13 no.4
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    • pp.55-71
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    • 2022
  • Recently, the domestic department store industry is growing into a complex shopping cultural space, which is advanced and differentiated by changes in consumption patterns. In addition, competition is intensifying across 70 places operated by five large companies. This study investigates the determinants of the visits to department stores using the big data concept's automatic vehicle access system (pos) and proposes how to strengthen the competitiveness of the department store industry. We use a negative binomial regression test to predict the frequency of visits to 67 branches, except for three branches whose annual sales were incomplete due to the new opening in 2021. The results show that the demand for visiting department stores is positively associated with airport, terminal, and train stations, land areas, parking lots, VIP lounge numbers, luxury store ratio, F&B store numbers, non-commercial areas, and hotels. We suggest four strategies to enhance the competitiveness of domestic department stores. First, department store consumers have a high preference for luxury brands. Therefore, department stores need to form their own overseas buyer teams to discover and attract new luxury brands and attract customers who have a high demand for luxury brands. In addition, to attract consumers with high purchasing power and loyalty, it is necessary to provide more differentiated products and services for VIP customers than before. Second, it is desirable to focus on transportation hub areas such as train stations, airports, and terminals in Gyeonggi and Incheon. Third, department stores should attract tenants who can satisfy customers, given that key tenants are an important component of advanced shopping centers for department stores. Finally, the department store, a top-end shopping center, should be developed as a space with differentiated shopping, culture, dining out, and leisure services, such as "The Hyundai", which opened in 2021, to ensure future growth potential.

The Study on the dweller's Expressions of Apartment Facility Management in accordance with Built Year (준공연수에 따른 공동주택 관리에 대한 주민인식 비교분석)

  • Choi, Yeol;Ha, Kyu Yang;Kim, Jong-Gyeong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.1D
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    • pp.149-155
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    • 2011
  • The aim of this study is to grasp how the dwellers of apartment cognize the real condition of the management such as general control of janitor office or management of maintenance, environment, account and imposing price of management. The analysed results of recognition are as following. First, as the dwellers judged that the janitors are incapable to control dispute among the households, it needs to develop the ability to cope with the demand of control dispute by various curriculum. There should be more strict management of parking lot for the handicapped. Second, it needs to establish the plan to improve maintenance of the rest facility. Third, as dwellers thought the management expenses not to be made public clearly, it needs to use various way, not only by neighborhood meeting but also information system such as establishing web page or E-mail notice for better announcement of the settled matters such as management expenses. Forth, the audit result of management expenses and the measures conducted after audit should be reported widely, contract of construction work services needs to be publicized by neighborhood meeting or other information system.

Charging Behavior Analysis of Electric Vehicle (전기자동차 충전행태분석)

  • PARK, Kyuho;JEON, Hyeonmyeong;JUNG, Kabchae;SON, Bongsoo
    • Journal of Korean Society of Transportation
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    • v.35 no.3
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    • pp.210-219
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    • 2017
  • Electric vehicles, which are attracting attention as eco-friendly vehicles, have been increasing in number since 2011 in Korea. The purpose of this study is to analyze the efficient operation of existing charging stations and factors to consider when installing additional charging stations based on the case of Jeju Island where the electric vehicle penetration rate is high and the charging infrastructure is relatively well established. The characteristics of using electric car charging stations by region, type of facility, and time of day are analyzed. As a result of analyzing the frequency of using the charger installed in Jeju Island, the utilization of both the fast charger and the slow charger is found to be concentrated in a specific area. The usage rate of charger installed in a business facility and a public parking lot is high in both fast charger and slow charger. However, according to the usage rate by time of day, the fast charger has a high utilization rate throughout the afternoon, while the use of a slow charger is concentrated in the morning. In order to enable users to utilize the electric vehicle charging station efficiently, it is necessary to provide a publicity guide for the charging station having a low utilization rate, a notice for using the charger, and a notification of completion of charging. Considering the charging demand, the area where the charger is not yet installed should be considered as the area to install the charger, and in addition, the additional installation should be considered in the area and the facility where the amount of charge is large. Service improvement is expected to be possible by utilizing actual electric vehicle charging behavior analysis result.

A study on the Construction of a Big Data-based Urban Information and Public Transportation Accessibility Analysis Platforms- Focused on Gwangju Metropolitan City - (빅데이터 기반의 도시정보·접대중교통근성 분석 플랫폼 구축 방안에 관한 연구 -광주광역시를 중심으로-)

  • Sangkeun Lee;Seungmin Yu;Jun Lee;Daeill Kim
    • Smart Media Journal
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    • v.11 no.11
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    • pp.49-62
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    • 2022
  • Recently, with the development of Smart City Solutions such as Big data, AI, IoT, Autonomous driving, and Digital twins around the world, the proliferation of various smart devices and social media, and the record of the deeds that people have left everywhere, the construction of Smart Cities using the "Big Data" environment in which so much information and data is produced that it is impossible to gauge the scale is actively underway. The Purpose of this study is to construct an objective and systematic analysis Model based on Big Data to improve the transportation convenience of citizens and formulate efficient policies in Urban Information and Public Transportation accessibility in sustainable Smart Cities following the 4th Industrial Revolution. It is also to derive the methodology of developing a Big Data-Based public transport accessibility and policy management Platform using a sustainable Urban Public DB and a Private DB. To this end, Detailed Living Areas made a division and the accessibility of basic living amenities of Gwangju Metropolitan City, and the Public Transportation system based on Big Data were analyzed. As a result, it was Proposed to construct a Big Data-based Urban Information and Public Transportation accessibility Platform, such as 1) Using Big Data for public transportation network evaluation, 2) Supporting Transportation means/service decision-making based on Big Data, 3) Providing urban traffic network monitoring services, and 4) Analyzing parking demand sources and providing improvement measures.