• Culinary science and hospitality research
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• v.12 no.2 s.29
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• pp.1-17
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• 2006

This study is to develop a viable measurement tool of crowdedness in restaurants. First, to measure customer’s awareness of crowdedness related to each different environmental factor in a restaurant, 49 factors of crowdedness awareness were selected based on the previous studies and then properties of each factor affecting customer’s satisfaction for crowdedness were analyzed. To analyze effects of each factor upon the satisfaction rate, a Multiple Regression Analysis was conducted with the crowdedness awareness as an independent variable and satisfaction of crowdedness as a dependent variable. The results showed that when an analysis of the environmental factors in the crowdedness awareness was conducted in an effort to develop a measurement tool of crowdedness awareness in restaurants, that would be fit for the domestic food service market, based upon 49 factors of restaurant environment. Focusing on expectation and satisfaction rate, it was found that rating the satisfaction level would be a much more effective tool to measure crowdedness awareness because satisfaction rate appeared to be more closely related to the awareness than the results obtained from the Multiple Regression Analysis with a difference between expectation and satisfaction scores as an independent variable.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.1827-1833
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• 2008

Urban transit construction has increased since 1970, and the utilization of urban transit system also has sharply increased. However, the prediction for station scale was underestimated in design, eventually, passenger crowdedness of station, platforms and transfer pathways has got worse. Especially, safety for passenger is concerned for rush hour because of passenger crowdedness peak. Therefore, several stations, which service level is D, were investigated for passenger crowdedness. In this study, measures which are to mitigate passenger crowdedness for stations are indicated.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.5
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• pp.49-63
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• 2019

Crowdedness management at subway platforms is essential to improve services, including the prevention of train delays and ensuring passenger safety. Establishing effective crowdedness mitigation measures for platforms requires accurate estimation of the congestion level. There are temporal and spatial constraints since crowdedness on subway platforms is assessed at certain locations every 1-2 years by hand counting. However, smart cards generate real-time big data 24 hours a day and could be used in estimating congestion. This study proposes a model based on data from transit cards to estimate crowdedness dynamically. Crowdedness was defined as demand, which can be translated into passengers dynamically moving along a subway network. The trajectory of an individual passenger can be identified through this model. Passenger flow that concentrates or disperses at a platform is also calculated every minute. Lastly, the platform congestion level is estimated based on effective waiting areas for each platform structure.

• Journal of the Korea Safety Management & Science
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• v.10 no.4
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• pp.267-273
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• 2008

Many people transfer from the automobile to the subway because of increasing in oil price and improvement of mass transit system of Seoul Metropolitan City. But Seoul Metropolitan Subway have brought out passengers discomfort because it is more crowded over the appropriateness because of very high utilization though it is highly technically facilitated. This study deals with the development and simulation study of subway train simulator. We performed the validity simulation study for the simulator for the interval from Sindorim station to Samsung station in Seoul Subway Line 2. We analyzed the simulation results considering crowdedness after we defined the concept of crowdedness. Also we accomplished the analysis of simulation results after simulation under the assumption that the crowdedness is alleviated by controlling the passengers using RFID technology.

• Culinary science and hospitality research
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• v.12 no.4 s.31
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• pp.63-79
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• 2006

This study was conducted to investigate the effect of restaurant environment upon customers' satisfaction and crowdedness awareness from July 4 to 30. Total 800 sets of questionnaire were distributed among major foodservice corporations including 16 restaurants from McDonald, Burger King, Popeyes, KFC, Ritz Carlton, Intercontinental, The Westin Chosun, Hilton, Merriot, Outback Steak House, Bennigans, VIPS, Pizza Hut, Pul-hyanggi(Scent of grass), Nolboo Co., and Our Story. They received 50 sets each to hand out to their customers. Out of total 800 sets of questionnaires, 592 sets (74.25%) were retrieved and underwent the Multiple Regression Analysis. We found the following results from the study. First, among each variable of restaurant environment that had a significant effect on crowdedness, "fast service" and "responsiveness to customer complaints" scored a regression coefficient value 0.381 and 0.325 respectively. Second, among each restaurant environment factor that had a significant effect on crowdedness, "quality of facilities" scored the highest regression coefficient value 0.423 with a standard error score 0.1074, followed by "condition of waiting", "overall ambience" and "service quality" in ascending order. Third, in the analysis of the effect of each environmental factor upon the satisfaction rate, "condition of waiting" showed the highest regression coefficient value 0.3821 with a standard error score 0.4565, followed by "cleanliness", "service quality" and "convenience', in ascending order.

• Proceedings of the Safety Management and Science Conference
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• 2008.11a
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• pp.51-56
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• 2008

Many people transfer from the automobile to the subway because of increasing in oil price and improvement of mass transit system of Seoul Metropolitan City. But Seoul Metropolitan Subway have brought out passengers discomfort because it is more crowded over the appropriateness because of very high utilization though it is highly technically facilitated. This study deals with the development and simulation study of subway train simulator. We analyzed the simulation results considering crowdedness after we defined the concept of crowdedness.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.2
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• pp.379-387
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• 2017

As the average load factor of High-Speed Rail (HSR) trains increased up to 98%, it caused uncomfortable crowdedness in the cabin and deteriorated the level of service to the HSR users. In this paper, we estimated the willingness-to-pay (WTP) of the HSR users for mitigating the crowdedness in the cabin. The contingent valuation method based on the stated preference data was used and the tobit model was applied for the estimation of WTP. It can be concluded that WTP for mitigating the crowdedness in the HSR trains is proportional to the congestion level of train and income level of user. Males, first-class users, not-assigned ticket users, and monthly pass users have relatively higher WTPs, while homemakers, travelers in weekends, commuters and leisure travelers have relatively lower values. The results can provide the fundamental information to estimate the benefits of mitigating crowdedness or the magnitude of governmental subsidy to railway operators for additional introduction of HSR trains.

• Journal of Satellite, Information and Communications
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• v.8 no.4
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• pp.26-29
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• 2013

In order to estimate people crowdedness in public area, the texture based method or motion based method can be used. In this paper we have proposed a mixed method. By designating the region of interest, we made the degree of crowdedness more accurate. The feature normalization also reduced the image distortion which results from difference of camera angle. The proposed system was optimized to real time embedded hardware system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.362-371
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• 2020

The purpose of this study is to analyze the influence of the crowdedness of dining franchise liquor shops on the perceived values and revisit intention. For this purpose, 361 customers who had visited dining franchise liquor shops located in Seoul and Gyeonggi-do areas were surveyed, and data was analyzed using AMOS 23.0 and SPSS 23.0 statistics programs. The analyses yielded the following findings. First, a higher level of crowdedness in the shop turned out to lower the perceived value of users. Second, a higher level of perceived value resulted in a higher level of revisit intent. Third, the analysis on the mediating effect of the perceived value showed that, in the relationship between the human crowdedness and revisit intention, both practical and hedonic values had mediating effects. However, in the relationship between the spatial crowdedness and the intent of revisit, the practical value had a mediating effect, while hedonic value did not exhibit such an effect. This study is meaningful in that it is presented as a theoretical establishment and an empirical study on dining franchise liquor shops.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.2A
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• pp.95-104
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• 2012

Pattern recognition using ensemble classifiers is composed of strong classifier which consists of many weak classifiers. In this paper, we used feature extraction to organize strong classifier using static camera sequence. The strong classifier is made of weak classifiers which considers environmental factors. So the strong classifier overcomes environmental effect. Proposed method uses binary foreground image by frame difference method and the boosting is used to train crowdedness model and recognize crowdedness using features. Combination of weak classifiers makes strong ensemble classifier. The classifier could make use of potential features from the environment such as shadow and reflection. We tested the proposed system with road sequence and subway platform sequence which are included in "AVSS 2007" sequence. The result shows good accuracy and efficiency on complex environment.