• 제목/요약/키워드: retail space

검색결과 88건 처리시간 0.023초

생태도시 구축을 위한 계획 특성에 관한 연구 - 독일 함부르크 하펜시티 사례를 중심으로 - (A Study on the Planning Characteristics of Ecological City - A Case Study of HafenCity, Hamburg -)

  • 박종기;진경일
    • KIEAE Journal
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    • 제12권4호
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    • pp.3-12
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    • 2012
  • Nowadays, interests on Eco-city planning as Solution for problems of energy demand and environmental change has grown. so Eco-city planning became a major political topic for urban planning and urban design in many advanced nation cities. The purpose of this study is to find out the organized characteristics of Eco-City planning by analyzing successful overseas case where wasted historic port area in city is are regenerated with a environment-friendly concept for Eco-City "HafenCity". It is located on Hamburg-mitte in Hamburg, Germany and is currently the largest construction project in Europe. HafenCity as Home to about 12,000 and the workplace of 40,000 people is being created to accommodate a variety of uses including residential buildings, business, office and retail space as well as cultural and leisure facilities. First of all, HafenCity impresses because of its size as well as because of its Urban planning for eco-city. It presents the excellent change from wasted historic port to the ecological urban space.

Differences in Network-Based Kernel Density Estimation According to Pedestrian Network and Road Centerline Network

  • Lee, Byoungkil
    • 한국측량학회지
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    • 제36권5호
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    • pp.335-341
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    • 2018
  • The KDE (Kernel Density Estimation) technique in GIS (Geographic Information System) has been widely used as a method for determining whether a phenomenon occurring in space forms clusters. Most human-generated events such as traffic accidents and retail stores are distributed according to a road network. Even if events on forward and rear roads have short Euclidean distances, network distances may increase and the correlation between them may be low. Therefore, the NKDE (Network-based KDE) technique has been proposed and applied to the urban space where a road network has been developed. KDE is being studied in the field of business GIS, but there is a limit to the microscopic analysis of economic activity along a road. In this study, the NKDE technique is applied to the analysis of urban phenomena such as the density of shops rather than traffic accidents that occur on roads. The results of the NKDE technique are also compared to pedestrian networks and road centerline networks. The results show that applying NKDE to microscopic trade area analysis can yield relatively accurate results. In addition, it was found that pedestrian network data that can consider the movement of actual pedestrians are necessary for accurate trade area analysis using NKDE.

복합상업공간의 점포 정위화 전략의 디자인 방법에 관한 연구 (A Study on S.I.P(Shop Identity Program) Design method Task in Multi-used Shopping Complex.)

  • 하재경
    • 산업경영시스템학회지
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    • 제19권37호
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    • pp.127-136
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    • 1996
  • Due to the development of technology, urbanization, industrialization, etd. at modern times, even the individual view of value has changed in variety. That means the change of each consumcer's life-style and even that of propensity to consume. In that regard, the modern, commercial space became to be increasingly included to specialization and complication. Such specialization and complication of the commercial space can be thought to be a positive response of enterprises to satisfy the needs or desire of consumers who become diversified. In this study, some new models in the method of the planning and designing of the S.I.P(Shop Identity Program). intended to research into as follows ; - As the background of the advent of the multi-used shopping complex, changes in consumer life-style and propensity to consume according to social and economical changes were intended to be studied through various statistical data literature. - For the study of the characteristics, constituent conditions, and planning operation of the future multi used shopping complex in the marketing aspect of enterprises, it was intended to study centered on the theory of consumer behavior and that of retail marketing. - In the process of the spatial design of the multi-used shopping complex, it was tried that a designing process to materialize a target of the discrimination and orderly arrangement of stores be progressed. In the process of materializing a target based on both corporate image and 'brand' image in designing.

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소도시 도심지역의 토지이용 변화와 입지시설 분포 특성에 관한 연구 - 영암읍 도심지역을 대상으로 - (A Study on the Changes in Land Use and the Distribution Characteristics of Locational Facilities in the Downtown of a Small Town - Focused on a downtown in Yeongam-eup -)

  • 김윤학;문동일
    • 한국농촌건축학회논문집
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    • 제13권2호
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    • pp.55-62
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    • 2011
  • This study examined the changes in land use and the distribution characteristics of locational facilities in the downtown space of a small town and the following results were obtained. The population of the subject small town was 9,476 as of 2010 which accounts for 15.8%. of Yeongam-gun. Regarding to a period, the population has been continuously decreased by 20.4% on average. Regarding to age group, while young people of 30 and under have been decreased, old people of 60 and over have been increased, suggesting a rapid increase in old population. Regarding to the area by land classification in the subject small town, while land has been increased by 6.9% on average, forests and fields have been decreased. Regarding urban planning area, residential and commercial areas have been increased by 3.1% and 5.8% on average respectively. It suggests that a rural area(arable land) tends to be gradually decreased, whereas a urban area tends to be steadily increased. Regarding the number of layers of buildings in the subject downtown streets, while one and two stories accounted for most parts in 1977, one story has been decreased but two and three stories have been increased since 1987. Regarding the use of buildings, living convenient facilities such as sale/retail trade and service/restaurant showed high location. In particular, one story which influences street vitality showed high location in sale/retail trade and service/restaurant, but many empty stores were also shown.

수직적으로 차별화된 제품 카테고리 내에서 소매상의 스토어 브랜드 제품군 디자인 및 제품구색에 대한 의사결정 (Retailer's Store Brand Product Line Design and Product Assortment Decision in the Vertically Differentiated Product Category)

  • 정환
    • 한국경영과학회지
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    • 제36권3호
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    • pp.107-120
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    • 2011
  • The increased availability of store brand suppliers now provides retailers with opportunities to create their own lines of vertically differentiated multiple store brands within a product category. As the number of store brands increase, the retailer's shelf space becomes more crowded, which may force the retailer to consider dropping some national brands from its assortment. Despite these trends, the problem of product line design in a vertically differentiated product category has been analyzed mainly from a manufacturer's perspective in the marketing literature and it is not known to what extent the findings of the existing product line design literature provide applicable strategic guidelines for the new problem faced by retailers. In this study, we address this deficiency in the literature and conduct an in-depth study of the retailer's strategic design of a line of store brands and its assortment decision within the context of retail category management. We analyze the retailer's decision about not only how to design a line of store brands but also which national brand to drop from its assortment. The results of our analysis are as follows. First, if the retailer has to drop one of national brands from its assortment, it is the best for the retailer to drop the low-quality national brand rather than the high-quality national brand. Second, the retailer has to position the high-quality store brand relatively close to the high-quality national brand, remained on its shelf, in terms of quality so as to maximize the size of retail margin from the national brand. On the other hand, the retailer should set the quality of the low-quality store brand at a lower level than that of the low-quality national brand to increase the total category demand by attracting more price sensitive consumers. By doing so, the retailer can also minimize cannibalization between two store brands. Lastly, our analysis shows that the introduction of a line of store brands improves consumer welfare by increasing real values of all products on the shelf.

서울시 업종별 점포의 공간분포가 가로활성화에 미치는 영향요인 분석 (The Influence Factors Analysis of The Street Revaitalization by Spatial Distribution of Small Retail Businesses' Classification in Seoul City)

  • 원유호;최창규;이주형
    • Spatial Information Research
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    • 제22권6호
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    • pp.81-90
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    • 2014
  • 본 연구는 선행연구에서 주요요인으로 도출되었던 가로의 물리적 환경, 접근성, 밀도, 다양성 등의 보행증진요인을 기반으로 가로차원의 변수가 가로활성화에 영향을 미치는지 분석해 보았다. 또한 Jacobs(1961)가 중요하다고 언급했던 업종의 다양성과 Ray Oldenburg(1989), Richard MacCormac(1983)이 주장했던 특정 공간이 가로활성화에 미치는 영향을 살펴보고자 하였다. 본 논문에서는 가로활성화 영향요인 모형을 업종별 유형으로 구분하여 분석해 본 결과, Jacobs(1961)가 주장했던 기본적인 가로 환경, 접근성, 밀도, 다양성 등의 보행증진요인은 주중과 주말의 모형에서 거의 유사한 것으로 나타났지만, Ray Oldenburg(1989), Richard MacCormac(1983)이 주장했던 주요 업종은 주중과 주말에 따라 가로활성화에 영향을 주는 정도가 차이가 있음을 도출했다.

Temporal Data Modeling for RFID Data in the Retail Industry

  • Yun, Hong-Won;Lee, Jung-Hwa
    • Journal of information and communication convergence engineering
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    • 제5권2호
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    • pp.159-163
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    • 2007
  • RFID applications are mostly associated with the timestamp when the events occur. For managing RFID data we need to design data modeling for RFID data to support monitoring and temporal queries. In this paper, we propose a temporal RFID data modeling to maintain the history of events and state changes and to monitor the states of RFID objects. This data modeling involves essential basic operations for RFID data to monitor the information of RFID objects and to support temporal queries. Filter operations can achieve better query performance and obtain efficient storage space usage. It is possible to adapt into different temporal business applications.

Waste Database Analysis Joined with Local Information Using Decision Tree Techniques

  • Park, Hee-Chang;Cho, Kwang-Hyun
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2005년도 춘계학술대회
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    • pp.164-173
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    • 2005
  • Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud detection, data reduction and variable screening, category merging, etc. We analyze waste database united with local information using decision tree techniques for environmental information. We can use these decision tree outputs for environmental preservation and improvement.

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CHAID Algorithm by Cube-based Proportional Sampling

  • 박희창;조광현
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2004년도 춘계학술대회
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    • pp.39-50
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    • 2004
  • The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, category merging, etc. CHAID(Chi-square Automatic Interaction Detector) uses the chi-squired statistic to determine splitting and is an exploratory method used to study the relationship between a dependent variable and a series of predictor variables. In this paper we propose CHAID algorithm by cube-based proportional sampling and explore CHAID algorithm in view of accuracy and speed by the number of variables.

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CHAID Algorithm by Cube-based Proportional Sampling

  • Park, Hee-Chang;Cho, Kwang-Hyun
    • Journal of the Korean Data and Information Science Society
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    • 제15권4호
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    • pp.803-816
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    • 2004
  • The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, category merging, etc. CHAID uses the chi-squired statistic to determine splitting and is an exploratory method used to study the relationship between a dependent variable and a series of predictor variables. In this paper we propose CHAID algorithm by cube-based proportional sampling and explore CHAID algorithm in view of accuracy and speed by the number of variables.

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