Using real options for urban infrastructure adaptation under climate change

Adaptation to climate change is likely to be a significant challenge for developing countries. We examine whether a real options approach that recognizes uncertainty and maintains future flexibility can provide an improved adaptation investment strategy. We use a Monte Carlo model to test four strategies for defending against sea level rise. Two of the strategies are inflexible, with the coastal defense fully specified in the first year of analysis. The other two strategies are flexible real options that allow adjustments in the coastal defense over time. We emphatically show that a real options strategy has the potential to increase the benefits of proactive adaptation. Our results prove to be location-dependent, underscoring the need for location-specific analysis. We find that the quality of the information obtained over time has an important bearing on option value and that a country's institutional capability and the specific mechanisms of international development assistance may affect implementation.

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URBAN INFRASTRUCTURE AND BUILDINGS IN RUINS: DAMAGE SEVERITY MAPPING OF NEIGHBORHOODS AFFECTED BY THE JUNE 2018 WINDSTORM IN BAUCHI

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-4-w16-327-2019 ◽

2019 ◽

Vol XLII-4/W16 ◽

pp. 327-330

Author(s):

K. M. Kafi ◽

A. Aliyu ◽

K. H. Olugbodi ◽

I. J. Abubakar ◽

S. G. Usman ◽

...

Keyword(s):

Climate Change ◽

Land Use ◽

Nearest Neighbor ◽

Urban Infrastructure ◽

Location Information ◽

Wind Gust ◽

Annual Peak ◽

Residential Land Use ◽

Disaster Event ◽

First Time

Abstract. Bauchi for the first time in history experienced a horrific windstorm that lasted for not more than 2 hours, but destroyed more than 20 lives and thousands urban infrastructure. This study examines the monumental damage on buildings and structures as a result of the June, 2018 windstorm disaster event in Bauchi. Handheld GPS was used in taking the location information 1662 structures affected by the windstorm. GIS was used in assessing the spatial pattern and as well mapping the extent of the damage. The results of the Average Nearest Neighbor indicate a clustered pattern with the index (ANN ratio) at 0.30 less than 1%. Similarly, the study reveals that most of the affected structures are residential land use with of 91.2% identified as damaged while the least is the recreational land use with only 0.3% structures identified as damaged by the disaster. On a district level, Jahun is the worst affected district with a total of 46.6% damaged buildings and structures. Finally, variability in annual peak wind gust trend in the last decade suggests the evidence of climate change footprints in Bauchi.

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Relations Between Urban Subsoil and Climate Change in Different Neighborhoods of Rio de Janeiro

Ambiente & sociedade ◽

10.1590/1809-4422asoc20190178r2vu2020l6td ◽

2020 ◽

Vol 23 ◽

Author(s):

Emmanuela Lopes de Oliveira ◽

Mara Telles Salles

Keyword(s):

Climate Change ◽

Rio De Janeiro ◽

Field Survey ◽

Urban Infrastructure ◽

Study Objective ◽

Heat Islands ◽

Infrastructure Networks ◽

Soil Sealing ◽

Vulnerability To Climate Change ◽

Underground Infrastructure

Abstract Most cities have grown in a disorderly manner without planning or concern for the environment while urban infrastructure networks were emerging and being implemented. Furthermore, it is known that impacts on the environment such as increasing the soil-sealing rate favor increases in temperature and the formation of heat islands leading to climate change. Therefore, the study objective was to analyze the impacts of disorderly occupation of the urban subsoil by underground infrastructure networks on permeable areas and their relationship with climate change. The methodology was based on bibliographic research and a field survey. It was found that the greater the disorderly occupation of the urban subsoil, the smaller the areas destined as green and permeable areas and the greater the vulnerability to climate change.

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