Methodology for analyzing the trade‐offs associated with multi‐objective optimization in transportation asset management under uncertainty

Bai, Qiang; Miralinaghi, Mohammad; Labi, Samuel; Sinha, Kumares C.

doi:10.1111/mice.12637

Cited by 19 publications

(14 citation statements)

References 49 publications

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“…e impacts of COVID-19 on the transportation industry also affect economic development. ere typically exists some relationship between transportation and economic development [39]. To analyze the impacts of the pandemic on traffic in different regions, a K-means cluster analysis based on the attributes of regions was conducted.…”

Section: Impacts On Traffic In Differentmentioning

confidence: 99%

How Does COVID-19 Affect Traffic on Highway Network: Evidence from Yunnan Province, China

Bai

et al. 2022

Journal of Advanced Transportation

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The COVID-19 pandemic and antipandemic policies have significantly impacted highway transportation. Many studies have been conducted to quantify these impacts. However, quantitative analysis of the impacts on province-wide traffic in developing countries, such as China, is still inadequate. This paper tried to fill this gap by proposing equations to quantify the traffic variations of overall province-wide traffic and to analyze the intercity bus traffic variation and intercity bus usage, applying the K-means cluster method to conduct the analysis of traffic reductions in regions with different levels of economic development, and using the hypothesis testing for traffic recovery analysis. It is found that passenger vehicle traffic and truck traffic dropped by 59.67% and 68.19% during the outbreak, respectively. The intercity bus traffic on highways declined by 59.8% to 98.6%, and the intercity bus usage dropped by 55.6% on average. For traffic reductions in different regions, the higher the GDP per capita was, the more the traffic was affected by the pandemic. In regions with lower GDP per capita, traffic variations were minor. It is also found that the passenger vehicle traffic went through four stages in 99 days: the Decline Stage, Rapid Recovery Stage, Slow Recovery Stage, and Normal Stage, while truck traffic only experienced the Decline Stage, Rapid Recovery Stage, and Normal Stage and took 51 days to recover to the Normal Stage. In the Rapid Recovery Stage, the recovery rates were 15.6% and 12.9% per week for passenger vehicle traffic and truck traffic, respectively, and the recovery rate was only 2.1% for passenger vehicle traffic in the Slow Recovery Stage. Despite the recovery of traffic volumes, neither passenger-kilometers nor tonne-kilometers of freight in 2020 reached the same level as in 2019. These findings help the understanding of the pandemic’s impacts on highway traffic for researchers and can provide valuable references for decision-makers to develop antipandemic policies.

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Section: Impacts On Traffic In Differentmentioning

confidence: 99%

How Does COVID-19 Affect Traffic on Highway Network: Evidence from Yunnan Province, China

Bai

et al. 2022

Journal of Advanced Transportation

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“…Study [4] draws attention to the problem of overspending of road agencies for the maintenance of highways, especially taking into consideration the need for a higher level of traffic comfort and the problem of underfunding of this sector. However, the cited study does not specify how the term of the contract affects overruns and how to optimize the cost in order to avoid overspending.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…Somebody's analysis of scientific research [1][2][3][4][5][6] reveals insufficient validity of mechanisms for managing the cost and time of road maintenance projects.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Building a model for managing the cost and duration of motor road projects

Kharchenko

Tsybulskyi

Chechuha

et al. 2022

EEJET

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This paper considers the processes of cost management and the duration of road maintenance projects. A conceptual model is proposed to describe the relationship between time, cost, and quality of projects, which is based on the theory of the «silver triangle». Based on the results of studying the influence of factors, a model has been built for determining the cost and duration of road maintenance projects. Multiple optimization approaches to the components of the «silver triangle» of projects were used. The model constructed at the stage of initiating projects for the maintenance of roads, in contrast to the previous ones, is based on the pre-project level of quality indicators. Owing to the introduction of additional parameters and coefficients, the proposed model of cost management, quality, and duration of road projects was calibrated. The model graph was constructed and optimization was carried out on the example of a long-term road operation project. The algorithm of application of cost and duration management model of highway projects under conditions of uncertainty has been developed, which was checked for adequacy at an estimated error of about 3 %. This makes it possible to assert the effectiveness of the devised model for solving tasks related to project management for maintenance. The model was used to perform calculations based on a real example of the project, which showed that the optimization of the parameters of long-term contracts for the maintenance of highways produces a multiplier effect. This is expressed by reducing the administrative costs of the customer, reducing the responsibility of road services, creating prerequisites for stable financing of road works, the satisfaction of road users, and building strong partnerships between the customer and contractor

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“…For this reason, the program, an NP‐hard model (Bazaraa et al., 2013), is considered extremely difficult to solve. This study adopted the NSGA‐II (Bai et al., 2021; Deb et al., 2002), a type of evolutionary optimization search technique, to solve the upper‐level model. NSGA‐II has been applied extensively to solve MINLPs and bi‐level programs (Alavidoost et al., 2018; Hosseininasab & Shetab‐Boushehri, 2015; Hosseininasab et al., 2018; Sarma & Adeli, 2001).…”

Section: Solution Approachmentioning

confidence: 99%

Contract bundling considerations in urban road project scheduling

Miralinaghi

Davatgari

Seilabi

et al. 2021

Computer aided Civil Eng

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Road project scheduling and contract bundling are two separate concepts that profoundly influence project delivery consequences to key stakeholders. Therefore, agencies espouse initiatives for contract bundling (to reduce project costs) and project scheduling (to reduce user delay costs). Bundling combined with scheduling could potentially yield benefits to both the agency and urban road users. This paper investigates the overall benefits (to the two stakeholders) of optimal schedules with bundling considerations, compared to the optimal schedules for unbundled contracts. The agency's objective is to make scheduling‐with‐bundling decisions that minimize system‐wide travel time and project costs, and the users’ objective is to minimize their travel times in the network with work zones. The problem is solved using the non‐dominated sorting genetic algorithm. The numerical experiments suggest that with well‐designed bundling, optimal scheduling can significantly reduce not only the project cost but also the total system cost (project and travel delay).

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Methodology for analyzing the trade‐offs associated with multi‐objective optimization in transportation asset management under uncertainty

Cited by 19 publications

References 49 publications

How Does COVID-19 Affect Traffic on Highway Network: Evidence from Yunnan Province, China

How Does COVID-19 Affect Traffic on Highway Network: Evidence from Yunnan Province, China

Building a model for managing the cost and duration of motor road projects

Contract bundling considerations in urban road project scheduling

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