• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.5
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• pp.543-550
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• 2021

Recently, there has been an increase of accidents related to the rise in the use of Personal Mobility Vehicle (PMV). To solve this problem, the National Assembly announced an amendment that restricted the use of PMV to bicycle roads and to prohibited for people under 13 years old to use PMV, but there is no detailed information about travel speed and safety. In this study, a survey was conducted by dividing the group into minors and adults based on the age of obtaining a driver's license to find out the direction of improvement of laws and systems about PMV. Our results showed that adults considered PMV as more dangerous (Adults 5.50, Minors 4.94) and the suggested age for PMV use was lower from minors than adults (Adults 15.70, Minors 13.85). We found that proper travel speed on bicycle roads differed according to the presence of a driveway (Driveway 26.21 km/h, Non-Driveway 23.55 km/h) and minors had higher a travel speed than adults on all types of bicycle road. Also, Helmets for PMV were seen as the most important safety equipment on all types of bicycle road. and the importance of other safety equipment differed according to the presence of a driveway (Driveway Front-Lighting, Non-Driveway Car Horn). Through this study, It proposes that we have to make new regulations about the use of front lights and horns, as well as enforcement measures that differentiate the speed on each bicycle road type as a way to improve the laws and systems for PMV.

• Journal of the Korean Institute of Landscape Architecture
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• v.46 no.2
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• pp.27-36
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• 2018

This study suggests the necessity of behavior analysis as changes to a park environment to reflect user desires can be implemented only by grasping the needs of park users. Online data (blog) were defined as the basic data of the study. After collecting data by 5 - year units, data mining was used to derive the characteristics of the time series behavior while the significance of the online data was verified through social network analysis. The results of the text mining analysis are as follows. First, primary results included 'walking', 'photography', 'riding bicycles'(inline, kickboard, etc.), and 'eating'. Second, in the early days of the collected data, active physical activity such as exercise was the main factor, but recent passive behavior such as eating, using a mobile phone, games, food and drinking coffee also appeared as a new behavior characteristic in parks. Third, the factors affecting the behavior of park users are the changes of various conditions of society such as internet development and a culture of expressing unique personalities and styles. Fourth, the special behaviors appearing at Olympic Park were derived from educational activities such as cultural activities including watching performances and history lessons. In conclusion, it has been shown that people's lifestyle changes and the behavior of a park are influenced by the changes of the various times rather than the original purpose that was intended during park planning and design. Therefore, it is necessary to create an environment tailored to users by considering the main behaviors and influencing factors of Olympic Park. Text mining used as an analytical method has the merit that past data can be collected. Therefore, it is possible to form analysis from a long-term viewpoint of behavior analysis as well as to measure new behavior and value with derived keywords. In addition, the validity of online data was verified through social network analysis to increase the legitimacy of research results. Research on more comprehensive behavior analysis should be carried out by diversifying the types of data collected later, and various methods for verifying the accuracy and reliability of large-volume data will be needed.