• Title/Summary/Keyword: 대형매장

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A Study on the Pedestrian Path Choice in Clothing Outlets - Focused on the Three Sample Outlet Customer Circulation System - (대형 의류매장의 경로선택에 관한 분석적 연구 - 3개 매장 고객동선의 사례를 중심으로 -)

  • 박순주;정성욱;임채진
    • Korean Institute of Interior Design Journal
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    • no.28
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    • pp.140-148
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    • 2001
  • The purpose of this thesis is to provide basic information of efficient flow line arrangement, which results from examining the factors of route choice with a focus on the store' space elements and pedestrian activity patterns in the outlets. The route tracking is applied to grasp pedestrian activity patterns, therefore, a concrete analysis into influential factors of the space structure arrangement and forms on route choice. The route tracking is a means to understand pedestrian activity patterns by establishing an unrecognizable space and examining every route in the investigating area for pedestrian activity pattern research. Three sample stores have different systems in the ground plan structures, the escalator location and the directions. The analysis focuses on the booth arrangement and shopping patterns. In conclusion, route choice of the customers and the structure of the space are quite closely related and affect the quality of shopping. This can suggest evidence for the need of the space structure to meet the pedestrian activity patterns.

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Development of Shopping Path Analysis System(SPAS) (고객 쇼핑 동선 분석시스템의 개발)

  • Jung, In-Chul;Kwon, Young S.;Lee, Yong-Han
    • The Journal of Society for e-Business Studies
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    • v.17 no.4
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    • pp.39-56
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    • 2012
  • Technological advancements in information technology including RFID and mobile technologies have made it feasible to track the customers travel path in a store. The customer travel paths provide valuable implications to understanding the customer behaviors in a store. In our research, we develop a shopping path analysis system to track and analyze the customer travel path. The proposed system consists of RFID systems for collecting the customer paths and analysis system. The analysis system conducts clustering for identifying the distinctive shopping patterns, and analyzes the profile of a grocery, such as congestion rate, visiting rate, and staying time, etc. We show the applicability of our proposed system using the actual data obtained at a grocery in Seoul as a case study.