Data-Driven Hyperlocal Interventions

About

The Data-Driven Hyperlocal Intervention (DDHI) framework, developed by the CoERS, serves as a targeted intervention strategy designed to empower District Road Safety Committees (DRSCs). This initiative is being implemented under the auspices of the Ministry of Road Transport and Highways (MoRTH), with a specific focus on prioritised districts exhibiting a high incidence of road crashes and significant road safety concerns. DDHI employs the established 3E model—Engineering, Enforcement, and Emergency care—augmented by the principle of Empathy to address unintentional human errors and rectify systemic deficiencies in road safety protocols.

Our human-centric approach to road safety is structured around three core levels of intervention. These encompass: (i) engineering modifications aimed at enhancing road safety through cost-effective and expedient measures, (ii) enforcement strategies designed to foster responsible road user behaviour via supportive guidance and alternative solutions, and (iii) emergency care protocols focused on ensuring timely assistance through optimised resource allocation and enhanced situational preparedness. This integrated model facilitates proactive and inclusive safety planning.

By enhancing local capabilities and streamlining procedural complexities, DDHI promotes the decentralisation of road safety planning. It synergistically integrates data-driven location intelligence with on-the-ground insights to develop context-specific solutions that address the inherent systemic variations at the local level. Recognising that each district presents unique road conditions, behavioural patterns, and operational challenges, DDHI advocates for grounded and adaptive approaches. This framework enables bottom-up decision-making to effectively account for variability and ensure the achievement of sustainable and impactful outcomes.

Sanjaya is an analytics tool of eDAR/ iRAD, that encompasses location-based high frequency accident zones (HFAZs) such as Black Spots, Emerging Black Spots, Clusters, Heatmaps, and Forecast tools.
It empowers stakeholders across the Nation to visualize the HFAZ at a jurisdictional level in their State and prepare an action plan for targeted rectification.

Field Perception Survey (FPS) is used to capture the perceived accident hotspots by the jurisdictional stakeholders to identify potential accident hotspots based on their field experience and local intelligence.
Using FPS, a focussed data collection at the grassroot level to provide a comprehensive understanding of crash contributing factors and strategize effective short-term and long-term interventions.

The Trauma care Preparedness Level (TPL) is a lean assessment framework developed in alignment with national health guidelines. It systematically evaluates gaps in infrastructure, equipment, and manpower, facilitating evidence-based planning and tracking of interventions. TPL assists the State and District nodal officers and DRSC, for implementing phased upgradation of trauma care systems to improve the overall trauma care preparedness.

The Road Safety Intervention Lookup Tool (RSILT) serves as a comprehensive reference and decision-support system for enhancing road safety. Its primary purpose is to provide accessible and actionable solutions for addressing road safety issues, in line with the principle that "Every problem has its own solution." RSILT acts as a one-stop intervention finder for road safety challenges. It offers a list of interventions for specific road safety issues, helping stakeholders quickly identify appropriate solutions.