Climate Change and Roads: A Dynamic Stressor-Response Model

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Climate Change and Roads : A Dynamic Stressor-Response Model. / Chinowsky, P.; Arndt, Channing.

I: Review of Development Economics, Bind 16, Nr. 3, 2012, s. 448–462.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Chinowsky, P & Arndt, C 2012, 'Climate Change and Roads: A Dynamic Stressor-Response Model', Review of Development Economics, bind 16, nr. 3, s. 448–462. https://doi.org/10.1111/j.1467-9361.2012.00673.x

APA

Chinowsky, P., & Arndt, C. (2012). Climate Change and Roads: A Dynamic Stressor-Response Model. Review of Development Economics, 16(3), 448–462. https://doi.org/10.1111/j.1467-9361.2012.00673.x

Vancouver

Chinowsky P, Arndt C. Climate Change and Roads: A Dynamic Stressor-Response Model. Review of Development Economics. 2012;16(3):448–462. https://doi.org/10.1111/j.1467-9361.2012.00673.x

Author

Chinowsky, P. ; Arndt, Channing. / Climate Change and Roads : A Dynamic Stressor-Response Model. I: Review of Development Economics. 2012 ; Bind 16, Nr. 3. s. 448–462.

Bibtex

@article{d9612fa9ab404289a374df5dd554b6d1,
title = "Climate Change and Roads: A Dynamic Stressor-Response Model",
abstract = "Decision-makers who are responsible for determining when and where infrastructure should be developed and/or enhanced are facing a new challenge with the emerging topic of climate change. The paper introduces a stressor–response methodology where engineering-based models are used as a basis to estimate the impact of individual climate stressors on road infrastructure in Mozambique. Through these models, stressor–response functions are introduced that quantify the cost impact of a specific stressor based on the intensity of the stressor and the type of infrastructure it is affecting. Utilizing four climate projection scenarios, the paper details how climate change response decisions may cost the Mozambican government in terms of maintenance costs and long-term roadstock inventory reduction. Through this approach the paper details how a 14% reduction in inventory loss can be achieved through the adoption of a proactive, design standard evolution approach to climate change.",
author = "P. Chinowsky and Channing Arndt",
year = "2012",
doi = "10.1111/j.1467-9361.2012.00673.x",
language = "English",
volume = "16",
pages = "448–462",
journal = "Review of Development Economics",
issn = "1363-6669",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - Climate Change and Roads

T2 - A Dynamic Stressor-Response Model

AU - Chinowsky, P.

AU - Arndt, Channing

PY - 2012

Y1 - 2012

N2 - Decision-makers who are responsible for determining when and where infrastructure should be developed and/or enhanced are facing a new challenge with the emerging topic of climate change. The paper introduces a stressor–response methodology where engineering-based models are used as a basis to estimate the impact of individual climate stressors on road infrastructure in Mozambique. Through these models, stressor–response functions are introduced that quantify the cost impact of a specific stressor based on the intensity of the stressor and the type of infrastructure it is affecting. Utilizing four climate projection scenarios, the paper details how climate change response decisions may cost the Mozambican government in terms of maintenance costs and long-term roadstock inventory reduction. Through this approach the paper details how a 14% reduction in inventory loss can be achieved through the adoption of a proactive, design standard evolution approach to climate change.

AB - Decision-makers who are responsible for determining when and where infrastructure should be developed and/or enhanced are facing a new challenge with the emerging topic of climate change. The paper introduces a stressor–response methodology where engineering-based models are used as a basis to estimate the impact of individual climate stressors on road infrastructure in Mozambique. Through these models, stressor–response functions are introduced that quantify the cost impact of a specific stressor based on the intensity of the stressor and the type of infrastructure it is affecting. Utilizing four climate projection scenarios, the paper details how climate change response decisions may cost the Mozambican government in terms of maintenance costs and long-term roadstock inventory reduction. Through this approach the paper details how a 14% reduction in inventory loss can be achieved through the adoption of a proactive, design standard evolution approach to climate change.

U2 - 10.1111/j.1467-9361.2012.00673.x

DO - 10.1111/j.1467-9361.2012.00673.x

M3 - Journal article

VL - 16

SP - 448

EP - 462

JO - Review of Development Economics

JF - Review of Development Economics

SN - 1363-6669

IS - 3

ER -

ID: 37635970