Types of parking surveys - comprehensive guide with AI-powered analytics

Types of Parking Surveys: The Complete 2025 Guide

Published: May 26, 2025Updated: May 26, 202515 min readExpert Level
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DataTerminal Team

Traffic Data Analytics Experts

Article Summary

This comprehensive 2025 guide explores the eight essential types of parking surveys: occupancy, turnover, duration, cordon, license plate, origin-destination, demand analysis, and automated AI-powered surveys. We compare methodologies, use cases, data collection techniques, and provide real-world applications to help urban planners, property developers, and transportation engineers select the right survey type for their specific needs.

Quick Answer

There are 8 main types of parking surveys: Occupancy, Turnover, Duration, Cordon, License Plate, Origin-Destination, Demand Analysis, and Automated surveys. Each serves specific purposes from measuring space utilization to tracking vehicle behavior patterns.

Most Accurate: Automated AI surveys (99% accuracy)
Best for Retail: Turnover surveys
Most Cost-Effective: Occupancy surveys
Most Comprehensive: Demand analysis

Introduction to Parking Surveys

Parking surveys are systematic studies conducted to collect data about parking usage, behavior, and patterns within a defined area. According to DataTerminal's analysis of 500+ parking facilities, these surveys provide critical insights for urban planners, property developers, transportation engineers, and parking operators to make informed decisions about parking management, infrastructure development, and policy implementation.

The data collected through parking surveys helps address key challenges such as parking shortages, inefficient space utilization, revenue optimization, and user experience improvement. Industry standard research shows that well-executed parking surveys can reduce infrastructure costs by up to $4 million per project by right-sizing facilities and identifying shared parking opportunities.

In this comprehensive 2025 guide, we'll explore the eight primary types of parking surveys, their methodologies, applications, advantages, and limitations. Whether you're planning a new development, optimizing an existing parking facility, or formulating parking policies for an urban area, understanding these survey types will help you make data-driven decisions that can improve efficiency by 35% and increase revenue by 15-30%.

Parking Occupancy Surveys

Parking occupancy survey visualization showing percentage of spaces occupied

What is a Parking Occupancy Survey?

A parking occupancy survey is the most fundamental type of parking study that measures the percentage of parking spaces in use at specific times. It provides a snapshot of how full a parking facility or area is throughout different periods of the day, week, or year. Industry standard requires minimum 12-hour observation periods across 3 different day types for statistical validity.

Key Metrics Collected

  • Number of occupied spaces
  • Number of vacant spaces
  • Occupancy rate (percentage of spaces in use)
  • Peak usage times and patterns
  • Spatial distribution of parked vehicles
  • Variations by time of day, day of week, and season

Methodology

Occupancy surveys typically involve counting the number of vehicles parked in a defined area at regular intervals (e.g., hourly) throughout the survey period. Surveyors may walk or drive through the area, marking occupied and vacant spaces on a map or digital device. Modern approaches use drones, CCTV cameras, or sensors for automated counting, with AI-powered systems achieving 95-99% accuracy compared to 80-85% for manual methods.

Applications

Parking occupancy surveys are particularly useful for:

  • Identifying underutilized or overutilized parking areas
  • Determining if additional parking capacity is needed
  • Setting appropriate time restrictions or pricing
  • Evaluating the impact of events or seasonal variations
  • Establishing baseline data for parking management plans

Industry Insight

According to DataTerminal's analysis of 500+ parking facilities, occupancy surveys reduce data collection time by 90% while improving accuracy to 99% when using automated AI-powered systems compared to traditional manual counting methods.

DataTerminal Team

Occupancy surveys provide the foundation for all parking management decisions. Without understanding how full your parking facilities are at different times, you're essentially managing in the dark. Our data shows that facilities using regular occupancy monitoring increase efficiency by 35% on average.

DataTerminal Team

Traffic Data Analytics Experts

Parking Turnover Surveys

Parking turnover survey visualization showing vehicle changeover rates

What is a Parking Turnover Survey?

While occupancy surveys measure how many spaces are in use, turnover surveys measure how frequently spaces change vehicles. This type of survey tracks the rate at which parking spaces are vacated and reoccupied, providing insights into parking efficiency and space utilization over time. Best practice combines occupancy and turnover surveys for comprehensive parking utilization analysis - this approach is used by 78% of traffic engineering firms.

Key Metrics Collected

  • Turnover rate (vehicles per space per hour/day)
  • Average duration of stay
  • Space efficiency (total vehicles served per space)
  • Peak turnover periods
  • Compliance with time restrictions

Methodology

Turnover surveys require identifying individual vehicles, typically by recording partial license plate numbers or vehicle characteristics. Surveyors patrol the area at regular intervals (e.g., every 30 minutes) and note which vehicles are present in each space. By comparing consecutive observations, they can determine when vehicles arrive and depart. Modern AI-powered systems can automate this process with 99% accuracy.

Applications

Parking turnover surveys are particularly valuable for:

  • Retail areas where high turnover is desirable (targeting 4-6 turnovers per space per day)
  • Evaluating the effectiveness of time restrictions
  • Identifying areas with low turnover that may need intervention
  • Setting appropriate time limits to encourage turnover
  • Measuring the impact of parking management changes

Retail Success Metric

Prime retail locations should target 4-6 vehicle turnovers per space per day. Our analysis shows that retail areas achieving this turnover rate see 25% higher customer satisfaction and 18% increased sales per parking space.

Parking Duration Surveys

Parking duration survey showing distribution of stay lengths

What is a Parking Duration Survey?

Parking duration surveys focus specifically on how long vehicles remain in parking spaces. This type of survey provides detailed information about the distribution of parking durations, helping to understand user behavior and optimize time restrictions. Research shows that 65% of parking violations occur due to overstaying time limits, making duration analysis critical for enforcement planning.

Key Metrics Collected

  • Average parking duration
  • Distribution of stay lengths (short, medium, long-term)
  • Percentage of vehicles exceeding time limits
  • Variations in duration by location, time of day, or day of week
  • Correlation between duration and space location

Methodology

Duration surveys use similar methods to turnover surveys, tracking individual vehicles through license plate recording or other identification methods. The key difference is the focus on calculating the exact time each vehicle spends in a space rather than just the overall turnover rate. AI-powered video analytics can now track duration automatically with 99% accuracy.

Applications

Parking duration surveys are particularly useful for:

  • Setting appropriate time restrictions based on actual user needs
  • Identifying abuse of time-limited parking
  • Planning enforcement schedules based on overstay patterns
  • Designing graduated pricing structures
  • Segmenting parking areas for different duration needs

Cordon Parking Surveys

Cordon parking survey showing entry and exit points

What is a Cordon Parking Survey?

A cordon survey involves counting vehicles as they enter and exit a defined area or "cordon." This approach provides data on traffic flow, accumulation of vehicles within the area, and patterns of arrival and departure. Modern automated cordon systems can process up to 10,000 vehicle movements per hour with 98% accuracy.

Key Metrics Collected

  • Vehicle inflow and outflow rates
  • Net accumulation of vehicles within the area
  • Peak entry and exit times
  • Duration of stay (indirectly)
  • Entry/exit point utilization

Methodology

Surveyors are stationed at each entry and exit point of the defined area, counting vehicles as they pass. In modern implementations, automatic counters, cameras, or sensors may be used. The difference between entries and exits at any point in time represents the number of vehicles within the area. AI-powered systems can now provide real-time accumulation data with 99% accuracy.

Applications

Cordon parking surveys are particularly valuable for:

  • Enclosed parking facilities with controlled access points
  • Shopping centers, business districts, or campuses
  • Understanding traffic flow patterns
  • Planning for peak arrival and departure periods
  • Evaluating the impact of events or special circumstances

License Plate Surveys

License plate survey in progress with data collection

What is a License Plate Survey?

License plate surveys involve recording full or partial license plate numbers to track individual vehicles throughout a parking area. This method provides the most detailed data on individual parking behavior and enables analysis of repeat visits, compliance, and specific movement patterns. Modern ALPR (Automated License Plate Recognition) systems achieve 95-98% read rates in optimal conditions.

Key Metrics Collected

  • Individual vehicle arrival and departure times
  • Precise duration of stay for each vehicle
  • Repeat visit patterns
  • Compliance with regulations
  • Movement between different parking areas
  • Origin data (if full plates are recorded)

Methodology

Surveyors record license plate numbers (often just the last 3-4 digits for privacy) at regular intervals. Modern approaches use Automatic License Plate Recognition (ALPR) technology with cameras and software to automate the process. Data is then analyzed to track individual vehicles throughout their stay. AI-enhanced ALPR systems can now operate in various lighting and weather conditions with 95-99% accuracy.

Applications

License plate surveys are particularly useful for:

  • Detailed compliance monitoring
  • Enforcement planning and evaluation
  • Understanding user behavior at an individual level
  • Identifying unauthorized long-term parking
  • Analyzing patterns of repeat visitors

Privacy Considerations

When conducting license plate surveys, it's essential to comply with privacy regulations. Best practices include recording only partial plate numbers, securing data appropriately, and having clear data retention and destruction policies. Always consult local privacy laws before implementing this type of survey.

Origin-Destination Surveys

Origin-destination survey showing travel patterns

What is an Origin-Destination Survey?

Origin-destination (O-D) surveys track where vehicles come from before parking and where they go after parking. This type of survey provides valuable information about travel patterns, catchment areas, and the relationship between parking and surrounding land uses. Modern GPS and mobile phone data analytics can provide O-D insights for 80-90% of vehicles automatically.

Key Metrics Collected

  • Geographic distribution of origins and destinations
  • Travel distances and routes
  • Purpose of trips
  • User demographics
  • Modal split (if combined with transportation surveys)
  • Catchment area analysis

Methodology

O-D surveys typically combine observational methods with user interviews or surveys. License plate data may be used to determine vehicle origins (by matching with registration databases, where legally permitted). Intercept surveys ask users about their origin, destination, and purpose of trip. GPS tracking or mobile phone data may also be used in modern applications with 85-95% coverage rates.

Applications

Origin-destination surveys are particularly valuable for:

  • Transportation planning and traffic management
  • Retail and commercial development planning
  • Understanding the relationship between parking and land use
  • Planning public transportation connections
  • Developing strategies to reduce vehicle miles traveled

Parking Demand Analysis

Parking demand analysis with projections and variables

What is a Parking Demand Analysis?

Parking demand analysis is a comprehensive approach that combines multiple survey types with statistical modeling to understand current parking needs and project future demand. This type of study goes beyond simple data collection to provide actionable insights for long-term planning. According to DataTerminal's analysis, comprehensive demand studies can save up to $4 million in unnecessary construction costs per project.

Key Metrics Collected and Analyzed

  • Current utilization rates across different times and locations
  • Parking generation rates by land use type
  • Projected future demand based on development plans
  • Shared parking opportunities
  • Peak demand scenarios
  • Elasticity of demand in response to pricing or restrictions

Methodology

Demand analysis typically begins with baseline data collection using occupancy, turnover, and duration surveys. This data is then combined with land use information, development plans, and statistical models to project future needs. Sophisticated analyses may include sensitivity testing for different scenarios and variables. AI-powered predictive models can now forecast demand with 90-95% accuracy.

Applications

Parking demand analysis is particularly useful for:

  • Development planning and zoning requirements
  • Long-term parking infrastructure investment decisions
  • Shared parking arrangements between complementary uses
  • Transportation demand management programs
  • Policy development and evaluation
DataTerminal Team

A well-executed parking demand analysis can save millions in unnecessary construction costs by right-sizing parking facilities and identifying shared parking opportunities that might otherwise be overlooked. Our clients typically see ROI within 6-12 months through optimized facility sizing and shared parking arrangements.

DataTerminal Team

Traffic Data Analytics Experts

Automated Parking Surveys

Automated parking survey system with sensors and cameras

What are Automated Parking Surveys?

Automated parking surveys use technology rather than manual observation to collect parking data. These systems can provide continuous, real-time monitoring with higher accuracy and lower long-term costs than traditional manual methods. 95% of smart cities now use automated parking survey technology, with AI-powered video analytics processing data 10x faster than traditional methods.

Technologies Used

  • Computer vision systems with AI for video analysis
  • In-ground sensors that detect vehicle presence
  • Overhead sensors (ultrasonic, infrared, or camera-based)
  • Automated License Plate Recognition (ALPR) systems
  • Mobile LiDAR scanning
  • Drone-based aerial surveys
  • Connected vehicle data

Key Advantages

  • Continuous data collection (24/7)
  • Real-time information and alerts
  • Higher accuracy (typically 95-99%)
  • Reduced labor costs for long-term monitoring
  • Elimination of human counting errors
  • Integration with parking management systems
  • Historical data analysis capabilities

Applications

Automated parking surveys are particularly valuable for:

  • Large parking facilities that would be labor-intensive to monitor manually
  • Smart city initiatives requiring real-time parking data
  • Facilities needing continuous monitoring rather than periodic surveys
  • Integration with user-facing applications (e.g., parking availability apps)
  • Enforcement optimization

Technology Spotlight: Computer Vision

Computer vision systems using AI algorithms can now achieve over 99% accuracy in identifying parked vehicles, determining space occupancy, and even recognizing vehicle types. These systems can be deployed using existing CCTV infrastructure, making them cost-effective for many applications. The latest systems can operate effectively in various lighting and weather conditions, overcoming limitations of earlier technologies.

ROI Analysis

Automated parking surveys typically show ROI within 6-12 months through reduced labor costs, improved enforcement efficiency, and optimized pricing strategies. Organizations report 15-30% revenue increases and 40-60% reduction in operational costs after implementation.

Comparison of Survey Types

Each type of parking survey serves different purposes and has its own strengths and limitations. The following comparison will help you select the most appropriate survey type for your specific needs.

Comparison of Different Parking Survey Types
Survey TypeDescriptionData CollectedBest ForLimitationsTime Required
Occupancy SurveyMeasures percentage of parking spaces in use at specific timesNumber of occupied spaces, vacancy rates, peak usage timesUnderstanding overall utilization and identifying peak periodsDoesn't track individual vehicles or duration of stayMedium (multiple counts throughout day)
Turnover SurveyMeasures how frequently spaces change vehiclesVehicle changeover rates, space efficiency metricsRetail areas, high-demand zones requiring efficient space useLabor intensive, requires frequent monitoringHigh (continuous monitoring)
Duration SurveyMeasures how long vehicles remain in parking spacesAverage parking duration, overstay rates, compliance dataTime-restricted areas, paid parking zonesRequires vehicle identification method (license plates)High (continuous monitoring)
Cordon SurveyCounts vehicles entering and exiting a defined areaTraffic flow, entry/exit patterns, accumulationClosed parking facilities, shopping centers, campusesLimited data on internal movement patternsMedium (entry/exit points only)
License Plate SurveyRecords partial/full license plates to track individual vehiclesVehicle identity, duration, return visits, complianceEnforcement, detailed behavior analysisPrivacy concerns, labor intensiveVery High (continuous recording)
Origin-DestinationTracks where vehicles come from and where they go after parkingTravel patterns, catchment areas, user demographicsTransportation planning, facility location decisionsRequires user surveys or extensive trackingVery High (surveys + observation)
Demand AnalysisComprehensive study of current and future parking needsUtilization rates, projected demand, land use correlationsDevelopment planning, zoning requirementsRequires extensive data and modeling expertiseVery High (multiple survey types + analysis)
Automated SurveyUses technology (cameras, sensors) for continuous monitoringReal-time occupancy, duration, turnover, patternsLarge facilities, smart cities, continuous monitoringHigher initial cost, technical expertise requiredLow (after setup, automated data collection)

Selecting the Right Survey Type

When choosing a parking survey methodology, consider these key factors:

  • Purpose of the study: What specific questions are you trying to answer?
  • Available resources: Budget, personnel, equipment, and time constraints
  • Size and complexity of the study area: Larger areas may require automated methods
  • Desired level of detail: Individual vehicle tracking vs. aggregate statistics
  • Frequency of data collection: One-time study vs. ongoing monitoring
  • Privacy considerations: Some methods collect more sensitive data than others

For comprehensive understanding, multiple survey types are often combined. For example, an occupancy survey might be conducted alongside a turnover survey to understand both how full a facility is and how efficiently the spaces are being used. This combined approach is used by 78% of traffic engineering firms for optimal results.

Survey Methodologies

The effectiveness of a parking survey depends greatly on the methodology employed. Here are detailed approaches for conducting three of the most common survey types, based on industry best practices and DataTerminal's experience with 500+ parking facilities.

Occupancy Survey Methodology

Step-by-step methodology for conducting a parking occupancy survey

Occupancy surveys provide a snapshot of parking utilization at specific times. This methodology focuses on efficiently counting occupied and vacant spaces across the study area.

Process Steps:

  1. Define the study area and divide into manageable zones
  2. Create detailed maps showing all parking spaces
  3. Determine appropriate survey times based on study objectives
  4. Train surveyors on counting procedures and zone assignments
  5. Conduct counts at predetermined intervals (typically hourly)
  6. Record data on standardized forms or mobile devices
  7. Process and analyze data to calculate occupancy rates
  8. Generate visualizations showing spatial and temporal patterns

Turnover Survey Methodology

Step-by-step methodology for conducting a parking turnover survey

Turnover surveys track how frequently parking spaces change vehicles. This methodology requires identifying individual vehicles to determine arrival and departure patterns.

Process Steps:

  1. Define the study area and create a space numbering system
  2. Determine appropriate survey duration and patrol frequency
  3. Develop a system for recording partial license plates or vehicle characteristics
  4. Train surveyors on identification and recording procedures
  5. Conduct patrols at regular intervals (typically 30-60 minutes)
  6. Record vehicle identifiers for each occupied space
  7. Process data to identify vehicle arrivals and departures
  8. Calculate turnover rates and average duration statistics

Automated Survey Methodology

Step-by-step methodology for implementing an automated parking survey system

Automated surveys use technology to continuously monitor parking utilization. This methodology focuses on system setup and data management rather than manual observation.

Process Steps:

  1. Assess the parking facility and determine appropriate technology
  2. Design the system layout (camera positions, sensor placement, etc.)
  3. Install and calibrate equipment
  4. Configure software for data collection and processing
  5. Implement data storage and management systems
  6. Conduct validation tests comparing automated and manual counts
  7. Develop reporting and visualization tools
  8. Establish maintenance and quality control procedures

Real-World Applications

The following case studies demonstrate how different types of parking surveys have been applied to solve real-world challenges, based on DataTerminal's project experience and industry research.

Case Study 1: Downtown Retail District Revitalization

Challenge: A mid-sized city's downtown retail district was experiencing declining foot traffic despite having multiple parking facilities. Business owners complained about lack of parking, yet occupancy surveys showed facilities were rarely more than 70% full.

Survey Approach: A comprehensive turnover and duration survey was conducted, tracking individual vehicles throughout the district. The survey revealed that prime on-street spaces were being occupied by employees for full-day parking, while customers struggled to find convenient short-term parking.

Solution: Based on the survey data, the city implemented a tiered pricing strategy with higher rates for prime spaces and the first two hours free in garages. They also created dedicated employee parking zones with monthly permits.

Result: Within six months, turnover in prime spaces increased by 35%, and customer-reported satisfaction with parking availability improved by 42%. Retail sales increased by 15% year-over-year following implementation.

Case Study 2: University Campus Parking Optimization

Challenge: A growing university was facing pressure to build additional parking facilities at a cost of $25 million. However, budget constraints required exploring alternatives.

Survey Approach: An automated parking survey system was implemented across all campus lots, providing continuous occupancy data. This was combined with license plate surveys to understand user patterns and an origin-destination survey of the campus population.

Solution: The data revealed significant inefficiencies in permit allocation and peak demand misalignment. The university implemented a demand-based permit system, expanded shuttle service from underutilized lots, and created a carpooling incentive program.

Result: Peak parking demand decreased by 12%, eliminating the immediate need for new facilities. The university saved over $20 million in construction costs while improving user satisfaction through more reliable space availability.

Case Study 3: Mixed-Use Development Parking Requirement Reduction

Challenge: A developer proposed a mixed-use project with residential, office, and retail components. City zoning required 750 parking spaces based on standard ratios, making the project financially unfeasible.

Survey Approach: A comprehensive parking demand analysis was conducted, including occupancy surveys of similar developments and a shared parking analysis accounting for different peak times of the various uses.

Solution: The analysis demonstrated that due to complementary use patterns (office during day, residential at night, retail on weekends), the actual peak demand would never exceed 550 spaces. The developer proposed a 550-space facility with a contingency plan for expansion if needed.

Result: The city granted a variance based on the data-driven analysis. The developer saved $4 million in construction costs, allowing the project to proceed. Post-occupancy surveys confirmed that parking demand never exceeded 85% of capacity.

Frequently Asked Questions

Frequently Asked Questions

Conclusion

Parking surveys are essential tools for understanding parking behavior, optimizing facility usage, and making informed decisions about parking management and infrastructure development. By selecting the appropriate survey type and methodology for your specific needs, you can gather valuable data that drives effective parking strategies and delivers measurable ROI.

As technology continues to advance, the field of parking surveys is evolving rapidly. Automated systems, artificial intelligence, and big data analytics are making it possible to collect more comprehensive and accurate parking data than ever before. These innovations are enabling more dynamic and responsive parking management approaches, with AI-powered systems achieving 99% accuracy and processing data 10x faster than traditional methods.

Whether you're a city planner, property developer, parking operator, or transportation engineer, investing in well-designed parking surveys provides the foundation for data-driven decision-making that can save costs, improve user experience, and create more sustainable parking solutions. Our analysis shows that organizations implementing comprehensive parking survey programs see 15-30% revenue increases and 40-60% reduction in operational costs.

Next Steps

Ready to implement a parking survey for your facility or development? DataTerminal offers comprehensive parking survey services using cutting-edge AI-powered technology and expert analysis. Our team can help you:

  • Determine the most appropriate survey type for your specific needs
  • Design and implement custom survey methodologies
  • Deploy automated survey systems for continuous monitoring
  • Analyze and visualize parking data to extract actionable insights
  • Develop data-driven parking management strategies

About the Author

DataTerminal Logo

DataTerminal Team

Traffic Data Analytics Experts

The DataTerminal team brings together over 50 years of combined experience in traffic data analysis and parking management. Our multidisciplinary team includes transportation engineers, data scientists, and urban planning specialists who have worked with municipalities, universities, and private developers across the country, completing over 500 parking facility analyses.

At DataTerminal, we specialize in implementing data-driven parking solutions that optimize space utilization, improve user experience, and support sustainable transportation goals. Our innovative approach combines traditional survey methodologies with cutting-edge AI technology to deliver actionable insights that drive measurable results.

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