Description of Services Provided:

This project aimed to assess the impact of Dhaka Metro Rail MRT Line-6 on reducing vehicular carbon emissions by examining traffic behavior and modal shift patterns at selected midpoints between MRT stations. The assessment focused on high-traffic urban segments where MRT alternatives became available.

Key Services Delivered:

• Selection of three strategic sites (Between Shahbagh and Dhaka University (ST01)–Between Agargaon and Shewrapara MRT Stations(ST02) -Between Mirpur 10 and Mirpur-11 MRT Stations(ST03) along the MRT-6 corridor for traffic observation.

• Manual traffic count surveys were conducted using standardized classification sheets and digital entry tools (KoBo Toolbox).

• The surveys covered a wide range of vehicle types, including:

  • Bicycle, Rickshaw, Motorcycle, CNG/Auto-rickshaw, Car/Taxi, Microbus, Jeep, Minibus, Large Bus, Light/Medium/Heavy Trucks, Tempu/Leguna, Others.

• Survey Timing Per Site:

  • Weekday (Wednesday):

    • Morning: 8:00 AM – 9:00 AM

    • Afternoon: 2:00 PM – 3:00 PM

  • Weekend (Saturday):

    • Afternoon: 2:00 PM – 3:00 PM

    • Evening: 5:00 PM – 6:00 PM

  • Total: 4 hours per week per direction → 8 hours per week total per location (covering both directions of traffic).

• The team captured bidirectional traffic flow to provide a complete picture of vehicular movement.

• Analyzed changes in traffic volume and vehicle composition, comparing pre- and post-MRT scenarios.

• Estimated carbon emission savings using standardized emission factors per vehicle class.

• Delivered a comprehensive analytical report, including location-specific insights, vehicle reduction trends, and projected emission reductions.

Key Highlights:

• Generated baseline and comparative data to support evidence-based transport policy and emissions reduction goals.

• Enabled data-driven evaluation of MRT-6’s role in shifting Dhaka toward sustainable, low-carbon urban mobility.

• Demonstrated technical capabilities in urban traffic survey management, digital data collection, and environmental impact estimation.