Traffic and Transportation Study Methodology
Objective:
As per TOR, for the traffic and transportation study of the project area, the studies that will be carried out
are listed below.
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Network Inventory Study for Road, Railway, Waterway and Airway
Pedestrian Facilities Study
Bus/Rail/Waterway Routes Study
Parking Study
Traffic Volume Count, O-D and Passenger Interview Survey
1. Network Inventory Study:
Network Inventory Study for Road
Data to be collected: Number of lanes and their widths, road category and type, type of road surface,
presence of road furniture such as road signs/ markings, street lightings, luminosity, drain types,
encroachments, bus/auto stops etc.
Data collection methods: Satellite & drone images can be used to record the data such as the number of
lanes and their widths. Other information need to be collected from site visits along each segment of the
road network. A checklist can be prepared over a smartphone application with GPS information to collect
such data.
Dataset development: Collected data can be imported into existing database for visualization and analysis.
Quality Control: Quality control will be carried out to identify any inconsistencies or gaps in the collected
data.
Network Analysis: Network analysis will be carried out using a GIS software.
Report preparation: A detailed report on the findings and recommendation will be prepared.
Network Inventory Study for Railway
Data to be collected: Track information such as track type, width, length and conditions. Location, size
and facilities available for the rail stations. Location, length or type of construction of any bridge or
tunnel on the network. Information on the signaling systems used. Details about the trains that run on the
system such as type, condition, capacity and frequency.
Data collection methods: Data such as the width, length and location can be obtained through drone
survey data or satellite imagery. Other information can be collected physically from the sites through
automated data collection vehicles, manual survey checklists or other secondary sources.
Dataset development: Collected data can be imported into existing database for visualization and analysis.
Quality Control: Quality control will be carried out to identify any inconsistencies or gaps in the collected
data.
Network Analysis: Network analysis will be carried out using a GIS software.
Report preparation: A detailed report on the findings and recommendation will be prepared.
Network Inventory Study for Waterway
Data to be collected: Waterway information such as the type of waterway (sea, river, canal etc.), width,
depth, length etc. Location, length and type of construction of any bridge or tunnels on the waterways.
Location, size and available facilities of the ports and docks on the waterway. Information about any
signaling system or communication system in place on the waterway. Details about the vessels such as
type, capacity and frequency of service.
Data collection methods: Data such as the width, length and location can be obtained through drone
survey data or satellite imagery. Other information can be collected physically from the sites through
automated data collection vehicles, manual survey checklists, or other secondary sources such as
operational records.
Dataset development: Collected data can be imported into existing database for visualization and analysis.
Quality Control: Quality control will be carried out to identify any inconsistencies or gaps in the collected
data.
Network Analysis: Network analysis will be carried out using a GIS software.
Report preparation: A detailed report on the findings and recommendation will be prepared.
Network Inventory Study for Airway
Data to be collected: Airport information such as location, size and facilities available. Details about the
airlines that operate such as fleet size, type of aircraft, routes and frequency of service. Information on the
air traffic control systems. Information about the operation of the air transport such as timetables,
passenger numbers, freight volumes etc.
Data collection methods: Data such as the size and location can be obtained through drone survey data or
satellite imagery. Other information can be collected from site visits through automated data collection
vehicles, manual survey checklists or other secondary sources such as operational records.
Dataset development: Collected data can be imported into existing database for visualization and analysis.
Quality Control: Quality control will be carried out to identify any inconsistencies or gaps in the collected
data.
Network Analysis: Network analysis will be carried out using a GIS software.
Report preparation: A detailed report on the findings and recommendation will be prepared.
2. Pedestrian Facilities Study:
Data to be collected: Sidewalk/ footpath width, type, lighting, luminosity, drain types, encroachments,
presence of street furniture such as signs and posts etc.
Data collection method: Satellite & drone images can be used to record the data such as the sidewalk
widths and lengths. Automated data collection vehicles or manual checklists with the help of a
smartphone application with GPS can be used to collect other types of data.
Dataset development: Collected data can be imported into existing database for visualization and analysis.
Quality Control: Quality control will be carried out to identify any inconsistencies or gaps in the collected
data.
Network Analysis: Network analysis will be carried out using a GIS software.
Report preparation: A detailed report on the findings and recommendation will be prepared.
3. Bus/Rail/Waterway Routes Study:
Bus Routes Study:
Analyze existing bus routes, stops, terminals, and frequency of service. Evaluate the adequacy of the bus
network to meet demand.
Rail Routes Study:
Examine rail routes, stations, schedules, and connectivity with other modes of transportation.
Waterway Routes Study:
Study waterway routes, including ports, terminals, navigational channels, and connectivity with road and
rail networks.
4. Parking Study:
Parking Inventory:
Conduct an inventory of parking facilities, categorizing them by type (e.g., on-street, off-street, multilevel) and capacity.
Parking Demand Analysis:
Evaluate parking demand patterns in different areas and times, identifying potential areas of congestion.
5. Traffic Volume Count, O-D, and Passenger Interview Survey:
Traffic Volume Count:
Deploy automatic traffic counters and manual surveys at key intersections and road segments to collect
traffic volume data.
Origin-Destination (O-D) Study:
Conduct surveys to determine the origins and destinations of trips within the study area, identifying
common travel patterns.
Passenger Interview Survey:
Administer surveys to gather information on passenger preferences, travel behavior, and perceptions of
the transportation system.
Data Analysis and Synthesis:
GIS Integration:
Integrate the collected transportation data into a Geographic Information System (GIS) for spatial analysis
and visualization.
Traffic Flow Modeling:
Utilize traffic modeling software to simulate traffic flow patterns, assess congestion, and identify
potential improvements.
Reporting and Documentation:
Study Report:
Compile a comprehensive report summarizing the findings of each study component, including
methodology, key observations, and recommendations.
Visualization and Mapping:
Create visual representations such as maps, charts, and diagrams to illustrate key findings and proposed
interventions.
Recommendations and Action Plan:
Provide a set of actionable recommendations for improving the transportation network, prioritizing
critical interventions.
Stakeholder Engagement:
Feedback and Consultation:
Engage with stakeholders, including local authorities, transportation agencies, and the community, to
gather feedback on the study findings and recommendations.
Public Presentation:
Organize presentations to share the study results with relevant stakeholders, fostering transparency and
collaboration in decision-making.