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DIXON FEHR i- PEERS G- .. _ -[ Task D. Data Collection and Analysis The Project Team will prepare a parking usage survey to better understand parking impacts throughout the community and help determine recommendations. Our team understands the importance of making data - driven decisions to address the community's perception of parking availability and optimize the operation. The main factor for making data -driven decisions is having an occupancy threshold above or below 85%. A parking occupancy rate greater than 85% is considered approaching the parking limit threshold. Parking occupancy rates less than 85% is considered as having adequate parking supply. With well over 10,000 block faces in the City of Santa Ana, a project of this size requires a creative approach because traditional methods of collecting data for the entire City will be budget and time prohibitive. The goal of data collection will be to construct a comprehensive strategy specific to the City's needs with a realistic and effective data collection plan that delivers quality results. Results from the parking survey will help guide the prioritization and timing recommended within the City of Santa Ana. The Project Team has extensive experience managing a variety of parking data collection studies to capture efficiencies in the data collection approach. Understanding the needs of the City for citywide analysis, we have considered a variety of data collection options to optimize the volume of information that can be gathered throughout this project and will gladly work with the City to customize the approach to most effectively address the community needs and priorities. Our data collection strategy includes two phases: Phase 1. Citywide "Big Data" Analysis Our Project Team specializes in Data Science to understand and apply innovative data on projects in transportation planning and traffic engineering. We have forged strategic partnerships with data vendors and invested in research and development in the Data Science arena to provide the best recommendations to the communities we serve. These vendors can provide current and past transportation metrics such as trip origins and destinations derived from aggregated Location Based Services (LBS) leveraging the Global Positioning System (GPS) and sensor data through smart phone applications. This will provide us with citywide samples of parking occupancy, turnover/duration, and origin destination data at a fraction of the cost of traditional methods. These solutions can enhance our data collection approach and help bring specific insights to parking Citywide. The Project Team will use this data to identify peak occupancy times and areas to help define the goals and locations of a more refined data collection effort through Phase 2. Phase 2. Rapid LPR Tool, Ongoing Collection, and LPR Pilot As agencies modernize parking programs, the transition to license plate -based parking solutions, like mobile payment, virtual parking permits and contactless solutions, is becoming an industry best practice. License plate recognition (LPR) technology has evolved into an efficient and effective monitoring tool, especially for agencies with limited budget and personnel resources. Rather than investing in dedicated data collection methods that are expensive and limit the number of days data is avilable, we utilize the information that can be Rapid Parking Report I) I XON City of Ketchum \\ wwWltLm-mn „�wmu�cy available thorugh LPR-based parking enforcement. Example parking occupancy map for the DIXON has developed in-house tools to streamline the City of Ketchum, ID Dixon Resources Unlimited I Citywide Parking Study for City of Santa Ana 16