최근 몇 년간 서울시 내 공유 전동 킥보드의 도입대수가 증가함에 따라, 불법 주·정차 문제가 중요한 사회적 이슈로 부각되었다. 서 울시는 이러한 문제를 해결하기 위해 관련 조례를 개정하여 불법 주·정차된 킥보드를 견인하고 있으나, 불법 주정차 신고 건수는 여전히 감소하지 않는 것으로 나타났다. 사후 견인에 중점을 두고 있는 제도를 보완하기 위해서는 전동킥보드 불법 주·정차의 공간적 특성을 파악하고 이에 대한 체계적인 분석이 필요하다. 따라서 본 연구에서는 전동킥보드 견인 데이터를 활용하여 전동 킥보드가 불법 주·정 차된 지역의 공간적 특성을 파악하자고 한다. 이에 따라, 서울시 각 행정동별 전동킥보드 불법 주·정차 견인 건수를 바탕으로 Moran's I 분석을 수행하여 공간적 자기 상관성을 파악하였다. High-High(HH), Low-Low(LL), High-Low(HL), Low-High(LH)로 구분된 네 가지 유 형의 패턴이 서울시 내에 분포하는 양상을 파악하고, 각 구역의 공간적 특성을 분석하였다. 연구결과는 해당 문제의 사전 예방을 위한 기초 자료를 제공하고, 정책적 시사점을 제시할 수 있을 것으로 기대된다.

PURPOSES : Many people recommend the expansion of the drone market and various ways of using drones. However, unreasonable expansion may cause various social problems. Therefore, criteria and systems for the expansion are required. This paper presents a review of the system using drones for managing and enforcing illegal parking, and recommendations on improvement. METHODS : This paper presents a review of the system using drones for managing and enforcing illegal parking, and recommendations on improvement. RESULTS : This study shows that new enforcement criteria are required for a new enforcement method using drones. In addition, consignment operation is needed to solve workforce shortage and secure expertise, and flight mitigation criteria are required, considering the illegal parking characteristics based on region and time. Finally, CCTV operation guidelines should be improved to clarify the definition of drone images and prevent unreasonable information collection. CONCLUSIONS : Illegal parking enforcement using drones is an efficient method that is highly feasible and solves enforcement limitation issues, such as the lack of workforce and equipment. A prior institutional review is required to apply new technologies more efficiently, and proposals on improving the legal systems with limitations are required through continuous research.

PURPOSES : This study reveals the social cost of illegal parking. Roadside illegal parking causes additional traffic congestion, air pollution, and traffic accidents. Several cities try to reduce illegal parking for the same reasons and build public parking spaces. However, few studies have been conducted on the effects and social cost of illegal parking problems. METHODS : In this study, a real-world study site was selected for the calibration of the VISSIM micro-simulator parameters, and several scenarios were created for developing illegal parking effect models. According to the simulation results, this study demonstrated five regression models that illustrated the average travel speed drop effects and the differences in emissions. RESULTS : Depending on the scenarios, the travel speed was dropped by 20 km/h–57 km/h and the levels of carbon dioxide and nitrogen oxide were increased by 111 g–279 g and 22.5 g–56.3 g, respectively. CONCLUSIONS : In this study, a methodology for estimating the social cost of illegal parking was established. Therefore, it is expected to contribute to the evaluation of policies related to illegal parking or the feasibility of facility investment.