This study aims to rank and select the top 50 high-traffic truck corridors through a combination of stakeholder insights and secondary data analysis to facilitate the pilot deployment of Zero Emission Trucks (ZETs) in India

Objective

The client wanted to conduct an analysis is to identify and validate the top 50 truck corridors in India by consolidating data from various stakeholders and secondary sources to facilitate pilot deployment for ZETs

 

Our Approach

Initial Corridor Identification

Performed GIS analysis on over 230 corridors to consolidate spatial overlaps, merge smaller corridors, and remove less obvious duplicates, optimizing the selection process from a larger list of corridors in India to shortlist 50 corridors with potential for electrification. The analysis also included proximity assessments for key logistics hubs such as ports and multimodal logistics parks.

Secondary Research

Conducted secondary research to rank corridors, utilizing traffic density data from IHMCL datasets and industrial activity mapping. This included creating heat maps of industrial areas and estates across all states in India to better understand potential cargo movement.

Analysis and Stakeholder consultations

Applied a traffic index (toll traffic count per corridor length) to further filter and prioritize key corridors for focus, ensuring a data-driven approach to corridor ranking. Facilitated stakeholder consultations with logistics service providers and truck operators across different regions of the country, validating and refining the corridor selection process in alignment with real-world logistics operations.

Report Submission

Prepared a report which enables the client, GoI To conduct a stakeholder roundtable to identify and shortlist 30 corridors from the 50 corridors identified from the analysis Conducting field research and developing ZET pilots Successful induction and scaled adoption of ZET in India

Outcome

An industrial density heat map was created for all states in the country for identifying corridors with high electrification potential