Estimating Option Values and Spillover Damages for Coastal Protection: Evidence from Oregon’s Planning Goal 18

Dundas, Steven J.; Lewis, D. J.

doi:10.1086/708092

Cited by 11 publications

(4 citation statements)

References 43 publications

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“…Increased erosion creates a fundamental tension between coastal property owners who want to protect their homes and investments, often with hardened shoreline armoring such as sea walls or rip-rap revetments, and the public right to recreate on the coast as codified by the 1967 Beach Bill. Recent research examined the economic value to coastal housing markets generated by state land-use regulations that limit armoring (Dundas and Lewis 2020). Homes in areas with the option of hardening the shoreline for erosion protection sold for 13 to 22 percent more than similar homes without the option of protection.…”

Section: Box 4 Switching From Douglas-fir To Ponderosa Pinementioning

confidence: 99%

Sixth Oregon climate assessment

Fleishman¹

2023

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Consistent with its charge under Oregon House Bill 3543, the Oregon Climate Change Research Institute (OCCRI) conducts a biennial assessment of the state of climate change science, including biological, physical, and social science, as it relates to Oregon and the likely effects of climate change on Oregon. This sixth Oregon Climate Assessment builds on the previous assessments by continuing to evaluate past and projected future changes in Oregon’s climate and water supply. Like the fifth assessment, it is structured with the goal of supporting the state’s mitigation planning for natural hazards and implementation of the 2021 Oregon Climate Change Adaptation Framework.

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Section: Box 4 Switching From Douglas-fir To Ponderosa Pinementioning

confidence: 99%

Sixth Oregon climate assessment

Fleishman¹

2023

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“…An analysis of climate adaptation behaviors in coastal North Carolina, in the United States, found that shoreline hardening is correlated with high household income, high home value, high population density, and low racial diversity (Siders and Keenan 2020). When shorelines are hardened, the spillover effects harm ecological and structural integrity, development, and property values on adjacent areas (Dundas and Lewis 2020). Equity considerations may include the amount and duration of additional resources allocated to support areas that are adjacent to hardened shorelines.…”

Section: Tier 4: Accommodate Water With Active Risk Reduction Measuresmentioning

confidence: 99%

A new framework for flood adaptation: introducing the Flood Adaptation Hierarchy

Peck¹,

Adams²,

Bartlett³

et al. 2022

E&S

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Traditional flood risk paradigms and associated strategies are no longer sufficient to address global flood adaptation challenges due to climate change and continued development in floodplains. The current flood adaptation approach is failing to take advantage of the benefits provided by intact ecosystems and perpetuates social and economic inequities, leaving those who are most vulnerable at highest risk. Rooted in the experiences of the United States, we propose a new framework, the Flood Adaptation Hierarchy, which prioritizes outcomes into six tiers. Overall, the tiers distinguish between nature and nature-based solutions, with preference given to natural ecosystems. The most important outcome in our hierarchy is to avoid risk by protecting and restoring natural floodplains; next, eliminate risk by moving communities away from danger; and then to accommodate water with passive measures and active risk reduction measures. We include, but deprioritize, a defense of community assets using nature-based engineering and hardened engineering. Throughout the hierarchy, we provide guidance on the equity considerations of flood adaptation decision making and highlight "impacts," "resources," and "voices" as important equity dimensions. Implementing the framework through an iterative process, using justification criteria to manage movement among tiers, alongside equity considerations, will support adaptation to changing environmental and social conditions and contribute to risk reduction at scale. Though this approach is focused on U.S. flood management and adaptation, prioritizing risk reduction, elimination of risk, and accommodation of hazards over the defense against threats not only has global applicability to flood adaptation, but should also be evaluated for applicability to other climate-driven challenges.

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“…Hence, in examining the determinants of population activity recovery and creating models for predictive recovery monitoring, it is essential to consider more complex spatial processes such as spillover effect. To examine recovery dynamics, spatial econometrics methods have been applied at the CBG level, particularly the spillover; in other words, the effect of independent features at the CBG level upon neighboring CBGs, to explain spatially related phenomena, such as environmental effects (Bai, 2012; Feng et al, 2020; Li et al, 2020), public health impacts (Benjamin-Chung et al, 2017, 2018; Si et al, 2021), and natural hazards (Lima and Barbosa, 2019; Fischer, 2021; Dundas and Lewis, 2020; Lenzen et al, 2019). Such spatial models examine direct and/or indirect effects, in other words, spillover, and total effects of independent variables over dependent variables.…”

Section: Introductionmentioning

confidence: 99%

Spatial model for predictive recovery monitoring based on hazard, built environment, and population features and their spillover effects

Patrascu

Mostafavi

2023

Environment and Planning B: Urban Analytics and City Science

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The ability to proactively monitor the trajectory of post-disaster recovery is valuable for resource allocation prioritization. Existing knowledge, however, lacks models and insights for quantifying and proactively monitoring post-disaster community recovery. This study examines models that could predict population activity recovery at the scale of the census block group (CBG). Population activity recovery is measured by using location-based human mobility visitation patterns to essential points-of-interest (POIs) in the context of the 2017 Hurricane Harvey in Harris County, Texas. The study examined the association between the population activity recovery duration and 32 features split into four categories: (1) physical vulnerability and access, (2) hazard exposure and impact, (3) proactive actions and (4) population features. Several types of spatial regression models were evaluated to determine their ability to capture this relationship. The Spatial Durbin Model was identified as the best fit for assessing direct, spillover, and total effects of features on population activity recovery at the CBG level. The results show the extent of physical vulnerability, measured by road network density, prolongs the duration of population activity recovery by a combination of direct and spillover effects. Also, the extent of access to essential facilities, measured based on the number of POIs, shortens the duration of population activity recovery. Correspondingly, the extent of flooding is not a significant feature in explaining the population recovery duration in CBGs. The results show that better preparedness, measured by extent of POIs visitations prior to hurricane landing, is associated with faster population activity recovery. In terms of population attributes, the total number of people, the percentage of minorities, and the percentage of Black and Asian subpopulations are significant features in the model for predicting the duration of population activity recovery. The study outcome offers data-driven insights for understanding the determinants of population activity recovery and provides a new model tool for predictive recovery monitoring based on evaluating the direct, spillover, and total effects of features. These findings can identify areas with slower or more rapid recovery to inform emergency managers and public officials in ensuring equitable resource allocation prioritization.

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Estimating Option Values and Spillover Damages for Coastal Protection: Evidence from Oregon’s Planning Goal 18

Cited by 11 publications

References 43 publications

Sixth Oregon climate assessment

Sixth Oregon climate assessment

A new framework for flood adaptation: introducing the Flood Adaptation Hierarchy

Spatial model for predictive recovery monitoring based on hazard, built environment, and population features and their spillover effects

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