Integrating sea level rise into development suitability analysis

Berry, Marisa; BenDor, Todd K.

doi:10.1016/j.compenvurbsys.2014.12.004

Cited by 24 publications

(9 citation statements)

References 49 publications

(67 reference statements)

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“…Besides pre-defined ranges, ranges can be derived from the data as well. Jenks (1977) developed the natural breaks algorithm, originally as a choropleth mapping technique, which was widely employed in land-use suitability analysis (Abdullahi et al, 2015;Berry and BenDor, 2015;Owusu et al, 2017). Natural breaks seek to simultaneously minimize the differences within classes and maximize the differences between classes.…”

Section: Transformation Functionmentioning

confidence: 99%

PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis

Chen¹,

Judge²,

Hulse³

2021

Preprint

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PyLUSAT is an open-source Python package dedicated to land-use suitability analysis• An alternative solution for urban planners to conduct GIS-based suitability modeling• Enabling rapid, massive simulation of future land-use scenarios in highperformance computing clusters• PyLUSAT functions are computationally efficient, highly extensible, and cross-platform compatible• It has been successfully implemented on HiPerGator, a supercomputer at

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Section: Transformation Functionmentioning

confidence: 99%

PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis

Chen¹,

Judge²,

Hulse³

2021

Preprint

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“…Studies evaluating the “optimal” level of coastal protection further simplify the problem by ignoring changes in economic and demographic characteristics (Tol et al, ; Moser, ; Balica et al, ; Sahin and Mohamed, ). For example, studies frequently overlay future scenarios of biophysical change on current demographic and socioeconomic data, implicitly assuming these characteristics are stationary (Preston et al, ; Berry and BenDor, ). Studies that fail to incorporate projected population and economic change will underestimate the total population and value of assets at risk from future climate impacts, which can lead to non‐adaptive or even maladaptive outcomes (Kashem et al, ).…”

Section: A Dynamic Hypothesis For the Evolution Of Coastal Community mentioning

confidence: 99%

Fighting the inevitable: infrastructure investment and coastal community adaptation to sea level rise

Woodruff

BenDor

Strong

2018

System Dynamics Review

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Coastal communities are crafting adaptation strategies to confront sea level rise (SLR). Unfortunately, cost-benefit analyses that assess SLR risks often fail to capture important political and social feedbacks. For example, adaptation measures (e.g., beach nourishment) can trigger greater development, undermining the value of adaptation infrastructure, incentivizing development, and increasing risks. We integrate diverse literature and data to develop a hypothesis and system dynamics model of coastal community responses to SLR. We apply the model to two U.S. communities, showing how political influence drives trajectories of infrastructure provision, cost, and vulnerability. We find that delayed feedbacks between perceived SLR risk and infrastructure investments mediate relationships between political capital, migration, and economic development. Community wealth and political influence may only delay the overshoot and collapse of its population and economy, as the "virtuous cycles" linking growth with infrastructure investment give way to "vicious cycles" of mounting infrastructure costs, political resistance to additional investment, and greater vulnerability.

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“…For example, the risks of disasters and geological conditions have been emphasized to evaluate land suitability level for the post-earthquake reconstruction of the Lushan earthquake-stricken area (Tang et al, 2015). Sea level rise has been integrated into the land suitability assessment of coastal communities in New York City (Berry and BenDor, 2015). A significant unevenness exists in the allocation of service facilities because of the distribution and independence of rural settlements.…”

Section: Introductionmentioning

confidence: 99%

Assessing suitability of rural settlements using an improved technique for order preference by similarity to ideal solution

et al. 2016

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Land suitability assessment is a prerequisite phase in land use planning; it guides toward optimal land use by providing information on the opportunities and constraints involved in the use of a given land area. A geographic information system-based procedure, known as rural settlement suitability evaluation (RSSE) using an improved technique for order preference by similarity to ideal solution (TOPSIS), was adopted to determine the most suitable area for constructing rural settlements in different geographical locations. Given the distribution and independence of rural settlements, a distinctive evaluation criteria system that differed from that of urban suitability was established by considering the level of rural infrastructure services as well as living and working conditions. The unpredictable mutual interference among evaluation factors has been found in practical works. An improved TOPSIS using Mahalanobis distance was applied to solve the unpredictable correlation among the criteria in a suitability evaluation. Uncertainty and sensitivity analyses obtained via Monte Carlo simulation were performed to examine the robustness of the model. Daye, a resource-based city with rapid economic development, unsatisfied rural development, and geological environmental problems caused by mining, was used as a case study. Results indicate the following findings: 1) The RSSE model using the improved TOPSIS can assess the suitability of rural settlements, and the suitability maps generated using the improved TOPSIS have higher information density than those generated using traditional TOPSIS. The robustness of the model is improved, and the uncertainty is reduced in the suitability results. 2) Highly suitable land is mainly distributed in the northeast of the study area, and the majority of which is cultivated land, thereby leading to tremendous pressure on the loss of cultivated land. 3) Lastly, 12.54% of the constructive expansion permitted zone and 8.36% of the constructive expansion conditionally permitted zone are situated in an unsuitable area, which indicates that the general planning of Daye lacks the necessary verification of suitability evaluation. Guidance is provided on the development strategy of rural settlement patches to support decision making in general land use planning.

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Integrating sea level rise into development suitability analysis

Cited by 24 publications

References 49 publications

PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis

PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis

Fighting the inevitable: infrastructure investment and coastal community adaptation to sea level rise

Assessing suitability of rural settlements using an improved technique for order preference by similarity to ideal solution

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