新北市停車智能管理策略之研究

Research on Intelligent Parking Management Strategies in New Taipei City

停車需求隨著私人運具成長不斷增加，然受經費與用地限制，如何提升停車管理效率成為一大課題。新北市政府交通局目前已執行多項品質效率提升計畫，包括汽、機車供需調查、設施勘檢、先期財務規劃、品質評鑑及智能設備建置，為使服務進一步升級，更提出多項智能管理服務的具體措施，包括停車全生命週期管理、數據視覺化及資訊正確驗證等。同時，針對未來長期發展，提出數據撮合應用構想，使停車管理平台除了能提升管理效率外，並可進一步地透過大數據分析，讓新北市停車管理更科學化、智慧化。

With the growth of private vehicles, the demand for parking continues to rise. However, constrained by budget and land availability, efforts to enhance service efficiency are imperative. The New Taipei City Government has implemented various quality and efficiency enhancement plans, including surveys on vehicle supply and demand, facility inspections, quality assessments, preliminary financial planning, and the deployment of smart equipment. Several specific measures for intelligent management services have been proposed to further upgrade services, including parking lifecycle management, data visualization, and information verification. Additionally, considering long-term development, a concept of data matchmaking applications has been suggested to enhance management efficiency and provide advanced big data analysis to make New Taipei City's parking management more scientific and intelligent.