PURPOSES: Seoul introduced public bicycles to reduce environmental pollution and create a healthy society. Because the use of bicycles is highly weather dependent, and bicycles are rented by the people, member characteristics and seasonal influences should be considered. This study analyzed bicycle traffic characteristics considering seasonal and member characteristics and highlighted some implications. METHODS: The Yeouido and Sangam districts, which have multiple business districts, were taken as the areas of interest. In order to reflect seasonal and membership characteristics, the traffic volume, time of use, and characteristics of each zone were categorized by season (spring, summer, autumn, winter) and membership type (season, daily, group). In addition, we analyzed the pattern of traffic volume and usage time according to the traffic purpose after separating rental locations into residential, business, subway, and park, reflecting the land characteristics. RESULTS: The results revealed that seasonal characteristics were high for bicycle traffic, time of use, and occupancy rate for park locations in spring and autumn. In terms of membership characteristics, group and daily users appeared as major visitors for park locations, and the trends of commuter pass users showed that bicycle use meets the purpose of introducing public bicycles. CONCLUSIONS: Traffic characteristics differed according to seasonal and membership characteristics. It is necessary to involve and extend the users of the commuter pass. Situations in which commuter pass users cannot function as a group or in which daily users monopolize bicycles (especially near parks, near subway stations, etc.) must be avoided.

두루미류의 취식무리 크기 및 구성과 도로 유형별, 취식무리 규모에 따른 분포거리 연구를 월동기인 2005년 12월에서 2006년 2월까지 총 8회 실시하였다. 두루미와 재두루미의 취식무리는 주로 2~4개체로 구성된 무리였다. 두루미와 재두루미 모두 혼종무리 보다는 단일종의 취식무리가 많았다. 두루미와 재두루미간 취식무리 크기별 비율은 유의한 차이가 있었다. 두루미의 포장도로(PR)와의 평균거 리는 비포장농로(UPR), 포장농로(PFR), 비포장농로(UPFR) 도로와의 거리에 비하여 멀었다. 재두루미의 경우 도로로부터의 이격거리는 농로로부터의 거리와 차이가 있었다. 두루미와 재두루미 종간 도로유형별 이격거리는 포장도로에서만 유의미한 차이가 있었다. 이 결과는, 두루미류가 차량 출입이 잦은 도로를 차량 출입이 낮은 농로에 비하여 선호하지 않는 것을 보여준다. 포장도로에서 5개체 이상의 두루미 취식무리는 전체 취식무리와 5개체 미만의 취식무리에 비하여 도로로부터 이격거리가 멀었다. 재두루미는 5개체 이상의 취식무리가 5개체 미만의 취식무리에 비하여 포장도로 및 포장농로와 비포장농로에서 이격거리가 멀었으며, 비포장도로에서는 무리크기에 따른 이격거리의 차이가 없었다. 결과적으로, 무리의 크기가 큰 경우 방해요인에 대한 영향이 일부 더 크게 나타났다. 이러한 결과는 두루미류의 큰 취식무리가 주변을 감시하는 효율이 무리크기가 작은 경우보다 높은 것과 관련이 있을 것으로 보인다.

Traffic accidents on the expressways during the high speed driving are severe and more damaging, compared with other traffic accidents. There has been much effort to reduce the traffic accidents by seeking for the cause of the accidents. Apart from drunk driving and driving while drowsy caused by personal carelessness, one of the main causes of the accidents on the expressways is the limit to the straight-ahead. The straight-ahead is much affected by climate and topography. Existing research on this subject investigates the accidents during the driving on the expressways under bad weather, the accidents on the freeways with design problems regarding the topology and grade and the accident frequency varying with traffic volume. The current study suggests a model including precipitation and traffic volume at a time and aims at examining their impacts on the traffic accidents on the expressways by using a binomial logistic regression analysis. The data used were the traffic accident frequency per day over a year on each link of two expressways, Donghae and Yeongdong, which represent Yeongdong and Yeongseo regions of Gangwon Province. The results tell that precipitation and traffic volume significantly affect the occurrence of the traffic accidents. The accident occurrence is also significantly different between the two expressways and even more significantly different between links within each expressway. Further research topics were identified, including the distinction between rainfall and snowfall, the inclusion of mediating variables such as the limit to the straight-ahead due to the precipitation and the differentiation between the degrees of fatality of the traffic accidents.

The extreme weather conditions negatively affect the traffic flow performance, and the change of traffic systems has significant impacts on the air pollutant emission. This study identifies the correlation between rainfall, traffic volume, travel speed and air pollution concentration (NO2 and PM10) in Seoul. We employed a path analysis using rainfall data from Korea Meteorological Administration and Seoul’s air quality and traffic monitoring data in July and August on 2014. It is found that the occurrence of rainfall decreases NO2 and PM10 concentration due to the higher washing effect, while rainfall increases NO2 and PM10 concentration via the changes in traffic volume and traffic speed. The analysis of the rainfall intensity reveals that the rainfall increases NO2 concentration due to the traffic volume increase and the traffic speed reduction if an hourly rainfall is more than 5mm. It is to note that the current model succeeds in identifying the relationship between weather conditions, traffic flow performance and air pollution in a unified and consistent framework, which can be used for better predicting the changes in air pollution concentration.