Store layout optimization using indoor positioning system

Hwangbo, Hyunwoo; Kim, Jonghyuk; Lee, Zoonky; Kim, Soyean

doi:10.1177/1550147717692585

Cited by 23 publications

(18 citation statements)

References 34 publications

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“…Thus, the utilized method could only detect the movements of pedestrians with Wi-Fi enabled devices. It has been determined in past research that, in general, approximately 50% of people have the Wi-Fi on their devices activated [42]. Therefore, it is not excessive to assume that approximately double the number of pedestrians measured in this study were present in the target station.…”

Section: Pre-processingmentioning

confidence: 80%

Real-Time Pedestrian Flow Analysis Using Networked Sensors for a Smart Subway System

2019

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The application of smart city technologies requires new data analysis methods to interpret the voluminous data collected. In this study, we first analyzed the transfer behavior of subway pedestrians using the fingerprinting technique using data collected by more than 100 MAC (Media Access Control) ID sensors installed in a congested subway station serving two subway lines. We then developed a model that employs an AI (Artificial Intelligence)-based methodology, the cumulative visibility of moving objects (CVMO), to present the data in such a manner that it could be used to address pedestrian flow issues in this real-world implementation of smart city technology. The MAC ID location data collected during a three-month monitoring period were mapped using the fingerprinting wireless location sensing method to display the congestion situation in real time. Furthermore we developed a model that can inform immediate response to identified conditions. In addition, we formulated several schemes for disbursing congestion and improving pedestrian flow using behavioral economics, and then confirmed their effectiveness in a follow-up monitoring period. The proposed pedestrian flow analysis method cannot only solve pedestrian congestion, but can also help to prevent accidents and maintain public order.

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Section: Pre-processingmentioning

confidence: 80%

Real-Time Pedestrian Flow Analysis Using Networked Sensors for a Smart Subway System

2019

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“…In addition, this allows visually dividing concrete variables that typically have large correlation coefficients. The association rule is another data mining technique that explores hidden patterns in data, and can be considered a method that mines the relationship between events that occur alongside a phenomenon or how a prior event suggests another event [26]. When finding the X→Y type rule between both event X and Y, it shows a correlation in that there is a higher chance that Y will appear when event X appears with a previous attribute.…”

Section: Methodsmentioning

confidence: 99%

Real-Time Early Warning System for Sustainable and Intelligent Plastic Film Manufacturing

Kim

Hwangbo

2019

Sustainability

Self Cite

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In this study, real-time preventive measures were formulated for a crusher process that is impossible to automate, due to the impossibility of installing sensors during the production of plastic films, and a real-time early warning system for semi-automated processes subsequently developed. First, the flow of a typical film process was ascertained. Second, a sustainable plan for real-time forecasting in a process that cannot be automated was developed using the semi-automation method flexible structure production control (FSPC). Third, statistical early selection of the process variables that are most probably responsible for failure was performed during data preprocessing. Then, a new, unified dataset was created using the link reordering method to transform the time sequence of the continuous process into one time zone. Fourth, a sustainable prediction algorithm was developed using the association rule method along with traditional statistical techniques, and verified using actual data. Finally, the overall developed logic was applied to new production process data to verify its prediction accuracy. The developed real-time early warning system for semi-automated processes contributes significantly to the smart manufacturing process both theoretically and practically.

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“…The layout of a store has been found to have a major impact on consumer behaviour in both traditional and online settings (Krasonikolakis et al, 2018), and it has the ability to enhance shopper traffic, average transaction values, profitability, and optimize consumers' shopping experiences to boost revenue and profitability (Hwangbo et al, 2017). Vrechopoulos et al (2004.…”

Section: Store Layoutmentioning

confidence: 99%

The Impact of Store Layout on Consumer Buying Behaviour: A Case of Convenience Stores From a Selected Township in Kwazulu Natal

Tlapana

2021

IRMM

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The layout of a store is an important aspect influencing consumer buying behaviour and a significant determinant in the formation of a retail image. Well-designed store layouts are critical because they have a strong influence on in-store movement designs, shopping environment, shopping behaviour, and operational productivity (Behera and Mishra, 2017). When there is inconsistency in the layout of the store, some clients will abandon that establishment in search of one that delivers faster, more convenient, and better services. Taking a more thoughtful approach to retail layout can pay huge returns in terms of higher sales, customer loyalty, and, ultimately, turnover (Clark, 2003). The overarching study goal was to determine whether independent convenience stores in Kwa Mashu are aware of the effects of store layout on consumer purchasing patterns. To achieve the study's aims, a quantitative study was undertaken at Kwa Mashu convenience stores using self-administered questionnaires. A total sample of 400 respondents participated in the study. Non-probability sampling was used to select the respondents, and convenience sampling was utilized. Following that, conclusions and recommendations were derived from the literature and the study's findings. According to the findings of this survey, consumers have issues with store layout. It was discovered that the appearance of the store, merchandise display, retail atmosphere, in-store service, and accessibility are the key contributors to this pain. As a result, it is recommended that convenience shop owners in Kwa Mashu attend to the above-highlighted areas and ensure that strategies are implemented to assist customers where there is a need.

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Store layout optimization using indoor positioning system

Cited by 23 publications

References 34 publications

Real-Time Pedestrian Flow Analysis Using Networked Sensors for a Smart Subway System

Real-Time Pedestrian Flow Analysis Using Networked Sensors for a Smart Subway System

Real-Time Early Warning System for Sustainable and Intelligent Plastic Film Manufacturing

The Impact of Store Layout on Consumer Buying Behaviour: A Case of Convenience Stores From a Selected Township in Kwazulu Natal

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