Efficient Urban Planning: an Analysis of Data Management in Inspection in Goiânia

Abstract

Purpose: The objective of this study is to investigate the efficiency of the urban inspection process in Goiânia and identify how data management can be improved to improve decision-making and resource allocation   Theoretical Framework: The research is based on concepts and theories about urban planning, data management and inspection, highlighting the importance of precision, reliability, completeness, relevance and timeliness of data for effective management.   Design/Methodology/Approach: The methodology adopted for this research comprises a qualitative approach. DIRFIS internal reports, semi-structured interviews with SEPLANH employees and direct observations during field visits were used. Data collection was carried out through document analysis, interviews and participant observation. The results revealed the existence of gaps in the integration and consistency of data used in urban inspection in Goiânia.   Findings: The discussion contextualizes these findings considering the theoretical framework, highlighting the implications for public management and suggesting improvements in the data collection and use process. Limitations of the study are also addressed, indicating areas for future research. Practical and theoretical implications include the need for a more integrated and systematized approach to data management to improve urban surveillance. The results can influence practices in the field of urban planning and public management, promoting greater efficiency and effectiveness. This study contributes to the literature by highlighting the importance of data management in urban inspection, offering a specific analysis of the context of Goiânia.   Implications: The relevance and value of the research are evidenced by the potential improvement in the efficiency of urban planning and the allocation of public resources.