Risk Identification and Response Strategies for Urban Road Maintenance: A Case Study of Jakarta’s Routine Maintenance Task Force
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Urban road-maintenance activities play a central role in sustaining mobility, service reliability, and infrastructure performance in dense metropolitan environments. This study aims to identify significant risks affecting routine road-maintenance operations in Jakarta, a megacity that relies heavily on rapid-response systems driven by citizen reporting. The research adopts a structured risk-identification and evaluation approach based on the ISO 31010 Probability–Impact Matrix (PIM). An initial set of fifty-two risks was identified through literature review and expert interviews, then refined to thirty-six validated risks following expert assessment. These risks were subsequently evaluated using a quantitative survey in which practitioners rated the probability and impact of each risk on a five-point scale. Mean probability and impact values were plotted directly into the PIM adapted from Kaseem and Hamzah (2019), producing a color-coded visualization of risk significance. Ten risks were classified as significant, occupying the red-zones (light and dark) of the matrix. The most dominant risks derive from three primary domains: (1) environmental exposure, notably heavy and extreme rainfall, which severely disrupts workflow and increases defect volumes; (2) resource limitations, including shortages of materials, damaged equipment, and insufficient personnel; and (3) operational challenges related to dense traffic, public non-cooperation, and inaccuracies in citizen-reporting data from the CRM platform. These findings highlight the complex operational landscape of Jakarta’s maintenance ecosystem, shaped by climatic variability, resource constraints, and urban-behavioral factors. The identified significant risks offer a practical basis for prioritizing improvements in resource planning, public engagement, and maintenance coordination. The study contributes empirical insights for enhancing resilience and responsiveness in urban road-maintenance management, with relevance for other rapidly growing cities facing similar infrastructural pressures.
Adnyana, I. B. R. (2019). Risk analysis on implementation of road maintenance project with STEPLE method in Badung Bali. MATEC Web of Conferences, 276, 02012. https://doi.org/10.1051/matecconf/201927602012
International Organization for Standardization. (2018). ISO 31000:2018 — Risk management: Guidelines. ISO.
International Organization for Standardization. (2019). ISO 31010:2019 — Risk assessment techniques. ISO.
Kaseem, M., & Hamzah, N. (2019). Risk assessment framework for construction projects using Probability–Impact Matrix (PIM).
https://www.researchgate.net/publication/334615355_Risk_Assessment_Framework_using_PIM
Sahoo, D., Choudhury, S. P., & Saha, P. (2020). Urban road maintenance management & repairing techniques.
Sakai, Y. (2008). New approach for efficient road maintenance on urban roads.
https://ssms.jp/img/files/2019/04/sms08_121_AM_YasuhitoSakai.pd
Strong, K. C. (2012). Risk mitigation strategies for operations and maintenance activities (Report No. TR-627). Iowa State University Institute for Transportation.
