亚开行-CAREC道路交通事故调查手册（英）-2025.3_96页_6mb

报告摘要

CAREC Road Crash Investigation Manual Summary

This manual aims to enhance the collection, investigation, and analysis of road crash data in CAREC countries. It follows a structured approach and is based on internationally recognized best practices.

Introduction: Overview of the manual’s purpose and relevance to CAREC countries.
Data Collection: Focuses on gathering standardized crash and casualty data, risk exposure.

1. Introduction

Purpose: To improve road safety data procedures within CAREC countries (Afghanistan, Azerbaijan, China, Georgia, Kazakhstan, Kyrgyz Republic, Mongolia, Pakistan, Tajikistan, Turkmenistan, Uzbekistan).
Focus: Primarily on crashes causing fatal and serious injuries (FSIs), underlying economic/social development.
Safe System Approach: Emphasizes collecting data on systemic failures rather than individual blame.
Road Safety Management System: Institutional management, interventions, and results are key components for effective decision-making using data.
Key Data Types: Crash/casualty data, risk exposure data, Safety Performance Indicators (SPIs), intervention data, and analysis results.
Shared Responsibility: Requires coordination across police, health sector, government agencies.

2. Data Collection

2.1 Crash and Casualty Data

Prioritizes data on FSI crashes.
Minimum standardized variables to collect (e.g., crash ID, date/time, location, GPS coordinates, crash type, person details, vehicle details).
Recommended forms and collision diagrams (like the Haddon Matrix) for documentation.
Addresses challenges like underreporting, data standardization, and interoperability via a central database.
Uses a crash severity classification system (e.g., Fatalities, Serious injuries, Minor injuries, Property damage).
CAREC Countries Challenges: Variable use of definitions, reporting practices, and technology levels.

2.2 Risk Exposure Data

Data on exposure (traffic volume, population, vehicles) are essential alongside crash data for calculating crash risk.
Describes methods like travel surveys, traffic count systems, and vehicle fleet databases for collection.

2.3 Safety Performance Indicators (SPIs)

SPIs reflect the performance of road system components (infrastructure, vehicle, users) in safety. Examples: Speed compliance, seat belt use, crash modification factors (based on iRAP ratings or other standards).
Data collection requires systematic observation protocols and weighting of data.

2.4 National Central Road Safety Database and Data Sharing

Recommendation for a unified national database managed by a central agency for all crash/safety data.
Requires clear roles (contributors/maintainers vs. viewers/accessors).

2.5 Health and Safety During Crash Data Collection

Lists safety procedures for crash scene management, including warning signs, cones, emergency lighting, traffic control, and a checklist for different countries.

3. Data Analysis

3.1 Diagnosis of Data and Variables

Macro Analysis: Examines national/regional trends (graphs for crashes/fatalities/injuries over time, territorial comparisons, transport mode statistics). Identifies high-level patterns and priorities.
Heatmaps and Risk Mapping: GIS tools for pinpointing critical intersections (using Kernel Density Estimation) or road sections (calculating crashes/kilometer).
Detailed Analysis of Critical Locations: Analyzes factors like crash timing, weather/lighting, surface conditions, victim type (road user), collision type.

3.2 Selection of Countermeasures for a Critical Location

Contributing Factors Identification: Aids from crash data and observation to identify system failures (exposure, crash rate, injury severity). Uses the Haddon Matrix for classification by time (pre/crash/impact) and component (human, vehicle, infrastructure).
Countermeasure Selection: Process involves identifying relevant factors, drawing from sources like "The Handbook of Road Safety Measures" or "Highway Safety Manual". Considers economic appraisal (e.g., Net Present Value, Benefit–Cost Ratio, Cost-Effectiveness Analysis). Examples include traffic calming, infrastructure improvements, enforcement campaigns, or public education. The Safe System focuses on designing safer roads/vehicles and managing expectations regarding human error.

4. Reporting and Presentation

Report Structure: Proposed structure includes macro analysis, trend analysis, hotspot/risk mapping, detailed locations, analysis of other data, contributing factors, countermeasure definition, and benefit evaluation.
Communicating Findings: Developing mechanisms like interagency meetings to share results with stakeholders.
Training and Capacity Building: Ensuring standardization requires training programs for data collection/analysis personnel across CAREC.
Data Use for Initiatives: Supports road safety advertising, education, and enforcement for improved outcomes.