ASSESSMENT OF CROWDSOURCED ROAD DEFECTS REPORTS AND ADMINISTRATIVE ROUGHNESS PERFORMANCE: A CASE STUDY OF JALANKITA IN INDONESIA

The research mainly aims to assess the comparability and the extent of prioritization from the crowdsourced road defects reports in Indonesia with the improvement of the road performance itself. A visual quantification method called Pavement Condition Index (PCI) will be applied to solve the comp...

Full description

Saved in:
Bibliographic Details
Main Author: Borkat Harahap, Vito
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/42311
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:The research mainly aims to assess the comparability and the extent of prioritization from the crowdsourced road defects reports in Indonesia with the improvement of the road performance itself. A visual quantification method called Pavement Condition Index (PCI) will be applied to solve the comparability issue of the crowdsourced reports, followed by a comparison and multiple regression analysis model to analyze the extent of crowdsourced reports utilization in the maintenance decision making. Semi-structured interviews also arranged with the related road section managers, the provincial road supervisors, and the central road network policy development agency to address the possible causal relationship of recurrent road defects in the same locations. The research reveals that the majority of reported road defects are requiring heavy maintenance, even in the road section that surveyed as Good or Fair roughness. The recurrent defects analysis also emerged the notion that over-reliance on roughness survey may generate inadequate maintenance option, which reflected on the repeating surface distresses and increasing deterioration rate in later years. However, the standardized coefficient produced by regression model elicits the fact that maintenance decision on the reported sections is still strongly based on the roughness condition (0.847) and the crowdsourced reports (0.020) were not taken as the main consideration. Thus, this research recommends the utilization of PCI along its required legal framework to provide more objective basis in crowdsourced reports’ prioritization, so that the maintenance decision does not need to wait for the biannual roughness survey.