Modelling risk based cost analysis of port adaptation measures to climate change

This paper presents a techno-economic modelling methodology that can be applied to the economic analysis of port climate change adaptation measures based on risk analysis. The proposed methodology brings together risk and cost criteria into the decision making process for the improvement of port adaptation policies. Information produced using a subjective fuzzy risk analysis approach is utilised to construct such a techno-economic model. An evidential reasoning approach is then employed to synthesis the risk analysis results and economic evaluation of port adaptation measures to process the constructed model. The results produced can assist policymakers in developing efficient adaptation measures that take into account the reduction of probabilistic risks, their possible consequences, their timeframe, as well as the need of costs incurred. A technical example of risk-based economic analysis of adaptation measures in an American port is presented to demonstrate the interaction between economic modelling and risk analysis and to indicate the potential use of this methodology in the climate change adaptation decision-making process of port systems. The results of the paper will provide important insight to the maritime community as to how to develop efficient climate change adaptation measures in a wider supply chain context to ensure maritime transportation sustainability.

[1]  Biswajeet Pradhan,et al.  Risk assessment of groundwater pollution using Monte Carlo approach in an agricultural region: An example from Kerman Plain, Iran , 2015, Comput. Environ. Urban Syst..

[2]  Robert L. Wilby,et al.  A review of climate risk information for adaptation and development planning , 2009 .

[3]  Eskinder Demisse Gemechu,et al.  Estimating GHG emissions of marine ports—the case of Barcelona , 2011 .

[4]  Ian Jenkinson,et al.  Selection of techniques for reducing shipping NOx and SOx emissions , 2012 .

[5]  Rae Zimmerman,et al.  Developing coastal adaptation to climate change in the New York City infrastructure-shed: process, approach, tools, and strategies , 2011 .

[6]  Petra Döll,et al.  Estimating the Impact of Global Change on Flood and Drought Risks in Europe: A Continental, Integrated Analysis , 2006 .

[7]  Joseph M. Roop,et al.  International Emission Trading and the Cost of Greenhouse Gas Emissions Mitigation and Sequestration , 2004 .

[8]  N. Reynard,et al.  Climate adaptation: Risk, uncertainty and decision-making. UKCIP Technical Report , 2003 .

[9]  S Bonsall,et al.  Use of Fuzzy Evidential Reasoning in Maritime Security Assessment , 2009, Risk analysis : an official publication of the Society for Risk Analysis.

[10]  Christos A. Kontovas,et al.  Balancing the economic and environmental performance of maritime transportation , 2010 .

[11]  Harry Geerlings,et al.  A new method for assessing CO2-emissions from container terminals: a promising approach applied in Rotterdam , 2011 .

[12]  Jian-Bo Yang,et al.  Multi-person and multi-attribute design evaluations using evidential reasoning based on subjective safety and cost analyses , 1996 .

[13]  W. Adger,et al.  Theory and Practice in Assessing Vulnerability to Climate Change andFacilitating Adaptation , 2000 .

[14]  Zaili Yang,et al.  Climate change and the adaptation strategies of ports: The Australian experiences , 2013 .

[15]  David Chemane,et al.  Vulnerability of coastal resources to climate changes in Mozambique: a call for integrated coastal zone management , 1997 .

[16]  Mark Pelling,et al.  Disaster risk, climate change and international development: scope for, and challenges to, integration. , 2006, Disasters.

[17]  Jim W Hall,et al.  Integrated analysis of risks of coastal flooding and cliff erosion under scenarios of long term change , 2009, Climatic Change.

[18]  S. K. Liu Using coastal models to estimate effects of sea level rise , 1997 .

[19]  Fuchu Dai,et al.  Landslide risk assessment and management: an overview , 2002 .

[20]  Phil O'Keefe,et al.  Climate change and disaster management. , 2015, Disasters.

[21]  P. Mote,et al.  Adapting to the impacts of climate change , 2018 .

[22]  Winfried Osthorst,et al.  Types of cluster adaptation to climate change. Lessons from the port and logistics sector of Northwest Germany , 2012 .

[23]  Michael Vincent McGinnis,et al.  Adapting to Climate Impacts in California: The Importance of Civic Science in Local Coastal Planning , 2011 .

[24]  Martin Vermeer,et al.  Long-term sea-level rise implied by 1.5 °C and 2 °C warming levels , 2012 .

[25]  Po-Hsing Tseng,et al.  Estimating the environmental costs of port related emissions: The case of Kaohsiung , 2012 .

[26]  Cody L. Knutson,et al.  PLANNING FOR DROUGHT: MOVING FROM CRISIS TO RISK MANAGEMENT 1 , 2000 .

[27]  Abla-Mimi Edjossan-Sossou,et al.  A decision-support methodology for assessing the sustainability of natural risk management strategies in urban areas , 2014 .

[28]  A. Ng,et al.  Port-Focal Logistics and Global Supply Chains , 2014 .

[29]  Paula J. Posas,et al.  Exploring climate change criteria for strategic environmental assessments , 2011 .

[30]  Heiko Apel,et al.  Flood risk analyses—how detailed do we need to be? , 2009 .

[31]  W. Botzen,et al.  Combining hazard, exposure and social vulnerability to provide lessons for flood risk management , 2015 .

[32]  Aslak Grinsted,et al.  Sea level projections to AD2500 with a new generation of climate change scenarios , 2012 .

[33]  Adaptation cost in the Netherlands: Climate Change and flood risk management , 2009 .

[34]  T. Soomere,et al.  Multi-criteria evaluation approach to coastal vulnerability index development in micro-tidal low-lying areas , 2015 .

[35]  W. Adger,et al.  THEORY AND PRACTICE IN ASSESSING VULNERABILITY TO CLIMATE CHANGE AND FACILITATING ADAPTATION , 2000 .

[36]  Carolyn Kousky,et al.  Informing climate adaptation: A review of the economic costs of natural disasters , 2014 .

[37]  D. Victor,et al.  The Regime Complex for Climate Change , 2010, Perspectives on Politics.

[38]  S. Dalsøren,et al.  Future cost scenarios for reduction of ship CO2 emissions , 2011 .

[39]  M. Büchner,et al.  Modelling flood damages under climate change conditions – a case study for Germany , 2014 .

[40]  S. Hanson,et al.  A global ranking of port cities with high exposure to climate extremes , 2011 .

[41]  H. Füssel Adaptation planning for climate change: concepts, assessment approaches, and key lessons , 2007 .

[42]  Jian-Bo Yang,et al.  On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty , 2002, IEEE Trans. Syst. Man Cybern. Part A.

[43]  Edgar G. Hertwich,et al.  Trade, transport, and sinks extend the carbon dioxide responsibility of countries: An editorial essay , 2009 .

[44]  M. Mizumoto,et al.  Improvement of Fuzzy Control Methods , 1995 .

[45]  Benjamin L. Preston,et al.  Climate adaptation planning in practice: an evaluation of adaptation plans from three developed nations , 2011 .

[46]  Jin Wang,et al.  Fuzzy Rule-Based Bayesian Reasoning Approach for Prioritization of Failures in FMEA , 2008, IEEE Transactions on Reliability.

[47]  James J. Corbett,et al.  The effectiveness and costs of speed reductions on emissions from international shipping , 2009 .

[48]  N. Reynard,et al.  Climate adaptation: Risk, uncertainty and decision-making. UKCIP Technical Report , 2003 .

[49]  Ortwin Renn,et al.  A New Approach to Risk Evaluation and Management: Risk‐Based, Precaution‐Based, and Discourse‐Based Strategies 1 , 2002, Risk analysis : an official publication of the Society for Risk Analysis.

[50]  A. Becker,et al.  Climate change impacts on international seaports: knowledge, perceptions, and planning efforts among port administrators , 2011, Climatic Change.

[51]  Alberto Refice,et al.  Probabilistic modeling of uncertainties in earthquake-induced landslide hazard assessment , 2002 .

[52]  Ø. Endresen,et al.  Cost-effectiveness assessment of CO2 reducing measures in shipping , 2009 .