Climate Change and Freight-Transportation Infrastructure: Current Challenges for Adaptation

Camp, Janey; Abkowitz, Mark; Hornberger, George M.; Benneyworth, Laura; Banks, James Carl

doi:10.1061/(asce)is.1943-555x.0000151

Cited by 31 publications

(13 citation statements)

References 9 publications

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“…That is, a situation in which analysts and decision makers do not know or cannot agree upon "(1) the appropriate models to describe the interactions among a system's variables, (2) the probability distributions to represent uncertainty about key variables and parameters in the models, and/or (3) how to value the desirability of alternative outcomes" (Lempert et al 2003). These aspects of Level 4 uncertainty are evident in the sources of climate change uncertainty identified by Willows and Connell (2003), as well as the noted challenges in predicting probabilistically many aspects of climate change (Camp et al 2013). We can, therefore, reasonably speak of climate change in terms of deep uncertainty (Rahman et al 2008;Haasnoot et al 2013).…”

Section: Four Levels Of Uncertaintymentioning

confidence: 99%

Dynamic Adaptive Approach to Transportation-Infrastructure Planning for Climate Change: San-Francisco-Bay-Area Case Study

Wall

Walker

Marchau

et al. 2015

J. Infrastruct. Syst.

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Adaptation of existing infrastructure is a response to climate change that can ensure a viable, safe, and robust transportation network. However, deep uncertainties associated with climate change pose significant challenges to adaptation planning. Specifically, current transportation planning methods are ill-equipped to address deep uncertainties, as they rely on designing responses to a few predicted futures, none of which will occur exactly as envisioned. In this paper, we propose using dynamic adaptive planning (DAP), an emerging general strategic planning method, to account for deep uncertainties by building flexibility and learning mechanisms into plans that enable continuous adaptation throughout implementation. This paper first reviews uncertainty in general, introduces what is meant by deep uncertainty, and then introduces DAP. Then, DAP is applied to a case study of the Oakland approach to the San Francisco-Oakland Bay Bridge, which was initially assessed under the 2010-2011 FHWA Climate Change Vulnerability Assessment Pilot program, to illustrate how DAP could be applied as a response to climate change in the context of evolving transportation infrastructure adaptation planning practices in the United States. We conclude that DAP is well suited to account for the deep uncertainties of climate change in transportation and infrastructure planning, and provide suggestions for further research to better apply DAP in this field.

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Section: Four Levels Of Uncertaintymentioning

confidence: 99%

Dynamic Adaptive Approach to Transportation-Infrastructure Planning for Climate Change: San-Francisco-Bay-Area Case Study

Wall

Walker

Marchau

et al. 2015

J. Infrastruct. Syst.

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“…In detail, transportation infrastructure among cities leads to urban aggregation and diffusion, greatly boosting the regional and national economic development [ 4 , 5 ]. However, the irrational planning of transportation infrastructure also generates negative effects, such as the ecological destruction, increased traffic accidents, climate change, CO 2 emissions and lower transport efficiency [ 6 , 7 , 8 , 9 , 10 , 11 ]. Therefore, it is necessary to identify multiple impacts of transportation infrastructure from existing studies.…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Transportation Infrastructure on Sustainable Development: Emerging Trends and Challenges

Wang

Xue

Zhao

et al. 2018

IJERPH

117

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Transportation infrastructure has an enormous impact on sustainable development. To identify multiple impacts of transportation infrastructure and show emerging trends and challenges, this paper presents a scientometric review based on 2543 published articles from 2000 to 2017 through co-author, co-occurring and co-citation analysis. In addition, the hierarchy of key concepts was analyzed to show emerging research objects, methods and levels according to the clustering information, which includes title, keyword and abstract. The results expressed by visual graphs compared high-impact authors, collaborative relationships among institutions in developed and developing countries. In addition, representative research issues related to the economy, society and environment were identified such as cost overrun, spatial economy, prioritizing structure, local development and land value. Additionally, two future directions, integrated research of various effects and structure analysis of transportation network, are recommended. The findings of this study provide researchers and practitioners with an in-depth understanding of transportation infrastructure’s impacts on sustainable development by visual expression.

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“…Additionally, the transportation network contributes to socio-economic development and increased quality-of-life, by generating inter-or intra-city connections during urbanization (Rodrigue et al, 2016;Liu et al, 2015). However, the irrational planning of transportation infrastructure may generate negative effects, such as ecological destruction, increased traffic accidents, climate change, CO2 emissions, and lower transport efficiency (Doyle and Havlick, 2009;Tasic and Porter, 2016;Camp et al, 2013).…”

Section: Figure 6 Ishikawa Diagram: Causes Of Increased Air Pollutiomentioning

confidence: 99%

Using Six Sigma in the Management of City Logistics Processes: A Case Study on the Impact Assessment of Transport Infrastructure on Fuel Consumption in Szczecin

Lemke¹,

Strulak-Wójcikiewicz²

2021

ERSJ

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The presented research results show the possibility of using the Six Sigma (SS) methodology in the management of city logistics processes. Originality/value: The Six Sigma management concept in city logistics presented in the article is the first study of this type according to the authors' knowledge. The in-depth analysis of the literature on the subject, presented in the article provides for a possibility of applying the Six Sigma methodology in logistics processes and in city management. The management concept according to Six Sigma has not been previously applied to the management of city logistics processes to the authors' knowledge.

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Climate Change and Freight-Transportation Infrastructure: Current Challenges for Adaptation

Cited by 31 publications

References 9 publications

Dynamic Adaptive Approach to Transportation-Infrastructure Planning for Climate Change: San-Francisco-Bay-Area Case Study

Dynamic Adaptive Approach to Transportation-Infrastructure Planning for Climate Change: San-Francisco-Bay-Area Case Study

The Impacts of Transportation Infrastructure on Sustainable Development: Emerging Trends and Challenges

Using Six Sigma in the Management of City Logistics Processes: A Case Study on the Impact Assessment of Transport Infrastructure on Fuel Consumption in Szczecin

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