| Title |
A Data-Driven Methodology for Selecting Flexible Parking Zones in Response to Parking Demand: A Case Study of Suwon City |
| Authors |
김숙희(K im, Suk Hee) ; 정가형(Jeong, Ga Hyung) ; 김성준(Kim, Sung Jun) |
| DOI |
https://doi.org/10.12652/Ksce.2026.46.4.0321 |
| Keywords |
탄력주차 제도, 주차 수요-공급, 주차수급 불균형, 주차 정책 Flexible parking, Parking supply-demand, Parking demand management, Parking policy |
| Abstract |
Urbanization and increasing automobile use have led to a continuous rise in parking demand in metropolitan areas; however, conventional parking policies, which rely on fixed supply, have limitations in responding effectively to spatiotemporal variations in demand. This study redefines Flexible Parking as a parking management system designed to allow parking supply and demand to be mutually adjusted in response to temporal and spatial changes, and proposes a data-driven procedure for selecting pilot sites for flexible parking, using Suwon City as a case study. The site selection procedure consists of six sequential filtering stages: road geometric structure, safety hazard areas, illegal parking hotspots, block-level parking supply-demand ratio, land use-based parking demand patterns, and hourly traffic volume. A total of 84 initial candidate segments were examined through this stepwise analysis, resulting in 11 segments identified as feasible pilot sites. The final feasibility was determined by combining quantitative priority ratings with field survey evaluations. In result, The total installable capacity was estimated at approximately 340 parking spaces across the 11 segments. This study contributes to the literature by conceptually distinguishing flexible parking from shared parking and reservation-based
parking as a broader operational framework, and by presenting an ex-ante, data-driven site selection methodology that can serve as a practical decision-support tool for future evidence-based urban parking policy. |