This course is designed to equip participants with the knowledge and skills required to plan, conduct, and analyze transport surveys effectively. Participants will learn various data gathering techniques and survey methodologies commonly used in the transport sector. Through a combination of theoretical concepts, practical exercises, case studies, and interactive discussions, participants will gain hands-on experience in collecting, processing, and interpreting transport data to support evidence-based decision-making in transport planning and management.

Duration:          5 Days

Target Audience:

Transport and logistics managers, team leaders, aspiring managers, supervisors, department heads.

Course Objectives:

Upon completion of this course, participants will be able to:

• Understand the importance of transport surveys and data gathering in transport planning and management.
• Identify different types of transport surveys and data gathering techniques used in the transport sector.
• Plan and design transport surveys based on specific objectives and requirements.
• Implement various survey methodologies, including household surveys, traffic counts, and observational studies.
• Collect, process, and analyze transport data using appropriate tools and techniques.
• Interpret survey results and draw actionable insights to inform transport planning and decision-making.
• Apply quality control measures to ensure the accuracy, reliability, and validity of survey data.

Course Outline

Module 1: Introduction to Transport Surveys and Data Gathering

• Importance of transport surveys in transport planning and management
• Overview of different types of transport surveys
• Planning and designing transport surveys: Objectives, scope, and methodology
• Data gathering techniques: Interviews, questionnaires, and focus groups
• Introduction to data collection tools and technologies
• Case studies: Analyzing transport survey examples

Module 2: Household Surveys and Travel Behavior Analysis

• Understanding travel behavior and trip generation
• Designing and conducting household travel surveys
• Sampling techniques and survey administration
• Data analysis and interpretation of household travel survey data
• Modeling travel behavior using survey data
• Practical exercises: Designing and conducting household travel surveys

Module 3: Traffic Counts and Volume Data Collection

• Types of traffic counts: Manual, automatic, and remote sensing
• Planning and executing traffic count programs
• Equipment and technology for traffic volume data collection
• Data processing and analysis of traffic count data
• Estimating traffic volume, flow, and density
• Case studies: Analyzing traffic count data and trends

Module 4: Observational Studies and Behavior Mapping

• Introduction to observational studies in transport
• Conducting travel time studies and delay surveys
• Behavior mapping techniques in transport planning
• Analyzing observational data and behavior patterns
• Integrating observational studies with other survey data
• Practical exercises: Conducting observational studies and behavior mapping

Module 5: Data Analysis and Reporting

• Data analysis techniques: Descriptive statistics, regression analysis, and spatial analysis
• Presenting survey findings: Visualization and reporting
• Quality control and validation of survey data
• Interpreting survey results and drawing conclusions
• Developing actionable recommendations for transport planning and management
• Course review, feedback, and closing remarks