TY - JOUR
T1 - Road Repair Delay Costs in Improving the Road Rehabilitation Strategy through a Comprehensive Road User Cost Model
AU - Trestanto, Ferdinand
AU - Hadiwardoyo, Sigit Pranowo
AU - Sumabrata, Jachrizal
AU - Lumingkewas, Riana Herlina
N1 - Publisher Copyright:
Copyright © by the authors. Licensee TAETI, Taiwan. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/).
PY - 2024
Y1 - 2024
N2 - This study delves into quantifying the adverse effects of road damage on users, particularly focusing on the increased travel time and consequent financial burdens stemming from delayed repairs. Utilizing a comparative method, the research underscores notable reductions in speed and prolonged travel times due to damaged roads, leading to substantial economic losses for road users. To streamline the estimation of road user costs (RUC), the study proposes a simulation model that incorporates varying traffic volumes and repair delays. This model demonstrates a high level of accuracy in estimating RUC, revealing heightened sensitivity to fluctuations in traffic volume and repair delays compared to agency costs. Consequently, the research underscores the imperative of implementing effective repair strategies to alleviate these impacts efficiently, thereby emphasizing the significance of timely infrastructure maintenance in mitigating financial burdens on road users.
AB - This study delves into quantifying the adverse effects of road damage on users, particularly focusing on the increased travel time and consequent financial burdens stemming from delayed repairs. Utilizing a comparative method, the research underscores notable reductions in speed and prolonged travel times due to damaged roads, leading to substantial economic losses for road users. To streamline the estimation of road user costs (RUC), the study proposes a simulation model that incorporates varying traffic volumes and repair delays. This model demonstrates a high level of accuracy in estimating RUC, revealing heightened sensitivity to fluctuations in traffic volume and repair delays compared to agency costs. Consequently, the research underscores the imperative of implementing effective repair strategies to alleviate these impacts efficiently, thereby emphasizing the significance of timely infrastructure maintenance in mitigating financial burdens on road users.
KW - repair delay
KW - road damage
KW - road rehabilitation strategy
KW - road user cost
KW - traffic volume
UR - http://www.scopus.com/inward/record.url?scp=85199337524&partnerID=8YFLogxK
U2 - 10.46604/ijeti.2024.13334
DO - 10.46604/ijeti.2024.13334
M3 - Article
AN - SCOPUS:85199337524
SN - 2223-5329
VL - 14
SP - 254
EP - 270
JO - International Journal of Engineering and Technology Innovation
JF - International Journal of Engineering and Technology Innovation
IS - 3
ER -