Incorporating socio-political criteria into the maintenance prioritization of Chilean urban pavement networks

Godoy, Pablo; Mourgues, Claudio; Chamorro, Alondra

doi:10.1016/j.tra.2015.07.014

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…• TFSH Residential housing is a proxy for the population; thus, a high housing density would indicate numerous road users in an area. Several studies use this index to assess the benefits that can be gained by roadside residents when the pavement is repaired [59,60]. This study used the TFSH as an indicator of benefits for residents.…”

Section: Roadside Pavement Condition Indexesmentioning

confidence: 99%

“…Another advantage of the proposed method is its simplicity and flexibility compared with the other approaches. For instance, Godoy et al [60] introduced a social-political priority factor (SPPF), a combination of the four social-political criteria, namely, social perception, critical infrastructure near a road, BP, and the presence of alternative routes. Similarly, Zhang and Mohsen [37] adopted eight categories composed of 60 indicators to verify whether a pavement is suitable for repair.…”

Section: Effectiveness Of Proposed Maintenance Strategiesmentioning

confidence: 99%

“…Similarly, Zhang and Mohsen [37] adopted eight categories composed of 60 indicators to verify whether a pavement is suitable for repair. Remarkably, the two methods used expert judgment or interviewee opinions to estimate the SPPF using a regression model [60] and the priority of a category using AHP [37]. We argue that this approach may lead to difficulty in application to various areas because of the diversity of the social-political aspects.…”

Section: Effectiveness Of Proposed Maintenance Strategiesmentioning

confidence: 99%

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A Novel Approach for Urban Road Network Maintenance Plans Using Spatial Autocorrelation Analysis and Roadside Conditions: A Case Study of Muroran City, Japan

Asada

Arimura

et al. 2022

Sustainability

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Urban and residential roads play an integral role in the infrastructure system of a city. Although they take up a large proportion of the national road network, maintenance plans for urban roads are beset by many problems. These include difficulty in collecting enormous volumes of data, implementing analyses, and interpreting results because of complicated frameworks. Thus, this study aims to introduce an effective and reliable method of formulating a maintenance plan using integrated criteria of spatial autocorrelation analysis and roadside conditions. The results demonstrate that defective pavements are clustered in certain areas, for example, mountainous and forested areas, which indicate environmental effects. Using a mixed index as a criterion for prioritization, approximately 55% of roadside residents (represented by the total residential housing floor area) and 90% of commercial and medical facilities surrounding critical sections gained benefit from maintenance activities in the second year. Importantly, the proposed method presents the advantages of simplifying implications and quantitative outcomes that could support local agents in not only implementing but also making decisions and interpreting such decisions for the community.

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Section: Roadside Pavement Condition Indexesmentioning

confidence: 99%

Section: Effectiveness Of Proposed Maintenance Strategiesmentioning

confidence: 99%

Section: Effectiveness Of Proposed Maintenance Strategiesmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Approach for Urban Road Network Maintenance Plans Using Spatial Autocorrelation Analysis and Roadside Conditions: A Case Study of Muroran City, Japan

Asada

Arimura

et al. 2022

Sustainability

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“…In the research on the refinancing capital structure of highway PPP projects, few authors consider the impact of dynamic changes on the demand for pavement maintenance funding on refinancing, and the lack of analysis of the dynamics of the demand for funding mean that the decision-making process of refinancing capital structure is inconsistent with reality. The current research on the management of pavement maintenance mainly focusses on the optimization of pavement performance from a dynamic perspective (Fallah-Fini et al , 2010; Sahin et al , 2014), optimal allocation of multi-objective funds for highways by a two-stage method (Fwa and Farhan, 2012; Meneses and Ferreira, 2012; Elhadidy et al , 2015), or optimal budget allocation based on network-level pavement maintenance optimization (Jesus et al , 2011; Fallah-Fini et al , 2015; Godoy et al , 2015). Research on the relationship between the dynamic demand for pavement maintenance funds and refinancing is scarce.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the refinancing capital structure of highway PPP projects based on dynamic capital demand

Hou

Wang

2021

ECAM

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PurposeWith the majority of highway projects in China having entered their operational phases, the maintenance and repair of the pavement is receiving increasing attention. One problem that needs to be addressed urgently is that of how to raise the proper funds for highway maintenance to ensure the sustainable operation of the project. To this end, the aim of this study is to investigate the capital demand for operation and maintenance of a project by means of a refinancing scheme, in order to reduce the possibility of project bankruptcy and to enhance the economic value of the project.Design/methodology/approachBased on an analysis of the dynamic complexity of the highway pavement maintenance system, a Markov model is used to predict pavement performance, and an optimal capital structure decision model is proposed for highway public–private partnership (PPP) project refinancing, using the method of system dynamics (SD). The proposed model is then applied to a real case study.FindingsResults show that the proposed model can be used to predict accurately the dynamic changes in the demand for road maintenance funds and refinancing during the period of operation, before making the optimal decision for the refinancing capital structure.Originality/valueAlthough many scholars have studied the optimal refinancing capital structure of PPP projects, the dynamic changes inherent in the demand for maintenance funds for highway PPP projects are seldom considered. Therefore, in the approach used here the influence of the dynamic change of road maintenance capital demand on refinancing is investigated, and SD is used for the optimal capital structure decision-making model of highway PPP project refinancing, to make the decision-making process more reasonable and scientific.

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Assessing the quality of service for drinking water supplies in rural settings: A synthetic index approach

Molinos-Senante

Munoz

Chamorro

2019

Journal of Environmental Management

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Incorporating socio-political criteria into the maintenance prioritization of Chilean urban pavement networks

Cited by 5 publications

References 3 publications

A Novel Approach for Urban Road Network Maintenance Plans Using Spatial Autocorrelation Analysis and Roadside Conditions: A Case Study of Muroran City, Japan

A Novel Approach for Urban Road Network Maintenance Plans Using Spatial Autocorrelation Analysis and Roadside Conditions: A Case Study of Muroran City, Japan

Research on the refinancing capital structure of highway PPP projects based on dynamic capital demand

Assessing the quality of service for drinking water supplies in rural settings: A synthetic index approach

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