ASSESSMENT IN ROAD ACCIDENTS IN BARANGAY SAN AGUSTIN NOVALICHES QUEZON CITY

Abstract

The research titled "Assessment of Road Accident Responses in Barangay San Agustin, Novaliches, Quezon City" investigates the community's effectiveness in addressing heavy traffic, unsafe road practices, and road accessibility during incidents. By employing both qualitative and quantitative methods—including interviews, surveys, and data analysis—the study evaluates the timeliness, efficiency, and overall quality of responses from drivers, students, officials, and residents to various incidents reported within the barangay.​

Key Objectives:

Assess Traffic Management Practices: Examine existing traffic management initiatives in Barangay San Agustin to identify strengths and areas for improvement.​

Evaluate Incident Response Effectiveness: Analyze the community's responsiveness to incidents, focusing on timeliness and efficiency.​

Identify Training and Resource Needs: Determine the necessity for additional training, resources, or policy enhancements to improve incident management.​

Alignment with Local and National Initiatives:

Quezon City Traffic and Transport Management Department (TTMD): The TTMD is responsible for formulating, coordinating, and monitoring policies related to traffic and transport management, aiming to rationalize transport operations and enhance traffic safety. ​

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Traffic Incident Management (TIM) Programs: TIM involves coordinated efforts to detect, respond to, and clear traffic incidents safely and swiftly. Implementing TIM strategies can significantly reduce congestion and improve road safety. ​

Barangay-Level Initiatives: Barangays play a crucial role in local traffic management. Initiatives such as organizing seminars and workshops on road safety and incident response have been conducted, benefiting numerous individuals and enhancing community awareness. ​ To effectively analyze the demographic data of drivers, officials, students, and residents in Barangay San Agustin, Novaliches, Quezon City, the study will employ quantitative research methods. This approach will facilitate the collection and statistical analysis of numerical data, enabling a clear understanding of the distribution and characteristics of the population under study.​

Data Collection:

Demographic Variables: Participants will be categorized based on sex and age brackets. Age groups may include categories such as 18-24, 25-34, 35-44, 45-54, 55-64, and 65 and above, allowing for a detailed demographic analysis.​

Sampling Method: To ensure a representative sample, stratified random sampling will be utilized. This method involves dividing the population into distinct subgroups (strata) based on demographic characteristics and then randomly selecting participants from each stratum. This approach enhances the precision and relevance of the findings.​

Data Analysis:

Statistical Techniques: Quantitative data analysis will involve the use of descriptive statistics to summarize demographic information and inferential statistics to draw conclusions about the broader population. Techniques such as regression analysis may be employed to examine relationships between demographic variables and responses to traffic incidents.​

Software Tools: Data will be analyzed using statistical software packages such as SPSS, R, or Python's statistical libraries. These tools offer robust capabilities for handling large datasets and performing complex analyses.​

Ethical Considerations:

Informed Consent: All participants will be provided with clear information about the study's purpose and procedures. They will be required to give informed consent before participation, ensuring ethical standards are upheld.​

Confidentiality: Personal identifiers will be removed or anonymized to protect participants' privacy. Data will be stored securely and accessed only by authorized research personnel.​

By implementing these quantitative research methods, the study aims to gather reliable and comprehensive data on the demographic profiles of individuals involved in traffic incidents in Barangay San Agustin. This data will be instrumental in assessing current traffic management practices and identifying areas for improvement.​ ​Recent developments in law enforcement highlight the importance of strategic reforms to enhance responsiveness and effectiveness. Key areas identified for improvement include:​

1. Mental Health Crisis Intervention

Expanding crisis intervention programs is crucial. Civil rights lawyer Ben Crump advocates for diverting mental health-related calls to trained professionals rather than police, aiming to reduce incidents involving individuals with mental health issues. ​

2. Reaccreditation and Standardization

Achieving reaccreditation demonstrates a commitment to best practices. The Plainview Police Department's reaccreditation by the Texas Police Chiefs Association Accreditation Committee underscores adherence to rigorous standards, including use of force and patrol operations. ​

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3. Data-Driven Performance Monitoring

Implementing national performance targets can drive improvements. The UK government's plan to introduce national crime targets aims to address variations in police performance and restore public trust through clear data collection and analysis. ​

By focusing on these areas—mental health crisis intervention, reaccreditation, and data-driven performance monitoring—law enforcement agencies can enhance their effectiveness and strengthen community trust. Utilizing surveys with a Four-Point Likert Scale is an effective method for gathering insights into community experiences regarding heavy traffic, unsafe road practices, and inaccessible roads and highways in Barangay San Agustin, Novaliches, Quezon City. This approach allows respondents to express their opinions without a neutral option, encouraging more decisive feedback.​

Understanding the Four-Point Likert Scale:

A Four-Point Likert Scale offers four response options, typically ranging from strong agreement to strong disagreement, or frequency levels from always to never. This scale forces respondents to lean toward a particular viewpoint, eliminating neutrality and providing clearer data on community sentiments.​