Incorporating Environmental Sustainability into Pavement Design and Management
Notice bibliographique
Résumé
Increasing interest in pavement sustainability has led to the development of sustainability assessment tools and a plethora of potential indicators. Well-designed indicators are capable of quantitatively tracking and informing environmental performance of pavement infrastructure systems. Here, we review literature on sustainability assessment, focusing on work relevant to transportation and civil infrastructure. This research considers the context of Ontario, its values, conditions and practices for sustainability assessment in pavement management and proposes a framework, set of indicators and associated measures to assess environmental sustainability of pavements throughout their lifecycle. The framework includes seven factors addressing environmental protection, and four reflecting natural resource management. A combination of input-based, output-based, and outcome-based indicators are provided for each factor. The key environmental performance indicators are selected to be comprehensive, consistent, measurable, context-specific, and informed by values, influence and purpose of Ontario pavement managers. Providing measures of these indicators, where possible, required some novel applications and analysis of existing methods and data for Ontario pavements. \nIt was observed that climate change continues to be an important environmental issue. Widespread impacts of climate change are expected to affect Canadian infrastructure systems because of changes in precipitation, temperature, winds, sea level rise, and other extreme events. A major cause of climate change, greenhouse gas (GHG) emissions, are increasing because of human influence. Responding to climate change requires action to mitigate anthropogenic greenhouse gas (GHG) emissions and increase climate-resiliency of assets and operations. This study provided a comprehensive list of GHG mitigation measures and an improved selection framework for implementing such measures across roadway design, construction, and maintenance processes. Four approaches to manage GHG emissions to investigate strategies to manage GHG emissions during all highway management phases: Design, Construction, Rehabilitation and Reconstruction and Maintenance. A review of current and emerging best practices and strategies from other jurisdictions for addressing GHG emissions was done, along with surveys and interviews were prepared to enhance this information and yield insights into factors that influence implementation of mitigation measures. Survey and interviews were designed to capture information related to cost of implementing measures, changes to internal resourcing at the agencies, industry’s response and evidence of social resistance; as well as strategies to manage these influencing factors. Cost was identified as a major factor for implementing innovations to manage GHG emissions. \nTransportation energy consumption and the associated emission from fuel combustion have adverse effects on air quality and healthy living in Canada. Improvement in engine performance and emission control technologies are often considered to improve vehicle fuel economy and reduce the consequent pollution, but past studies have focused on vehicle emissions. This research shows that road surface condition management can be used as a short-term strategy to reduce environmental impact even as the population of Canada continues to grow, and vehicle numbers increase,, especially in densely populated urban areas. A model to predict the impact of road surface condition measured by International Roughness index (IRI) (m/km) on vehicle fuel consumption and associated emissions was developed. Additionally, the relationship between excess damage cost from rougher roads (IRI >1m/km) was estimated for cars and trucks travelling on Ontario Road. When models are implemented into a network-level analysis of Ontario Roads, results show that the vehicles using on Ontario Road network released an excess 2000 tonnes of carbon dioxide (CO2) emission due to the road condition (IRI >1m/km) in 2014. Also, the environmental damage cost of emissions (2010CAD) of five atmospherics pollutants was found to be about $2.6 Million in 2014. A project level sustainability assessment framework was proposed to incorporate economic, environmental and technical aspects of sustainability into pavement management. Future study can expand the framework to network-level and incorporate the road condition models developed in this research program and documented in this thesis.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».