GIS를 활용한 불법 주정차 핫스팟 분석

Abstract

Illegal parking inhabits the convenience of transportation, threatens the safety of pedestrians, and worsens the emergency situation by acting as an obstacle. Each local government has made efforts in various ways, such as expanding the no-parking area and operation resident reporting systems for illegal parking, but it is not sufficient to resolve the illegal parking problem, with the many complaints related to the illegal parking in all complaints. Therefore, this study conducted spatial analysis to derive a solution to the illegal parking phenomenon based on the theory of evidence-based policing for crime prevention and interpreted the phenomenon by using Ratcliffe's hotspot matrix.
 Seongnam-si, Gyeonggi-do, ranked first in the number of illegal parking reports by district, and Jung-gu, Daegu-si, ranked first in the reports per area, were selected as study areas. As a result of executing Moran's I analysis, a methodology to ascertain spatial dependency for each area, revealed that both regions exhibited positive spatial dependency, indicating a spatial association with illegal parking incidents.
 Furthermore, Local Moran’s I analysis, a methodology that identifies areas with significant differences from the surrounding areas by setting the analysis scope locally, was conducted to understand the spatial and temporal distribution of hotspots where illegal parking occurs frequently.
 In Seongnam, hotspot areas with high reported volumes appear in large, distributed forms and scattered patterns throughout the city, exhibiting characteristics of spatial clustering and temporal concentration according to Ratcliffe's hotspot matrix. In addition, it was found that the hotspots were often adjacent to the parks, suggesting ways to fundamentally improve parking environment around the parks by activating the sharing of idle parking spaces in surrounding buildings, and encouraging citizens to participate voluntarily through logo-projectors.
 In Jung-gu, Daegu-si, the result presented that most hotspots from a cluster in Dongseong-ro, with a more concentrated temporal concentration, indicating spatial clustering and temporal acuteness based on Ratcliffe's hotspot matrix. Therefore, we propose concentrated patrols around the hotspot area during by time periods to persuade illegal parking vehicles. In particular, benchmarking the current flexible patrol system used by the police and utilizing optimal routes were suggested to ensure efficient patrols. Moreover, using intelligent CCTV was proposed to effectively enforce habitual areas.
 By applying the methods presented in this study, local governments can utilize valuable information for policy decision-making to facilitate efficient evidence-based policing activities and derive fundamental solutions to illegal parking issues.