Using Linear Integer Programming for Multi‐Site Land‐Use Allocation

Aerts, Jeroen C. J. H.; Eisinger, Erwin; Heuvelink, G.B.M.; Stewart, Theodor J.

doi:10.1111/j.1538-4632.2003.tb01106.x

Cited by 176 publications

(55 citation statements)

References 27 publications

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“…In general, the site allocation problem assumes exclusive site assignment [ Aerts et al , 2003; Wright et al , 1983]. This means that a cell is homogeneous, and that the decision variables ( x ca , i , l ) must be integer (0 or 1), indicating the absence or presence of a specific land use.…”

Section: Modeling Methodsmentioning

confidence: 99%

A hierarchical optimization approach to watershed land use planning

Yeo

Guldmann²,

Gordon³

2007

Water Resources Research

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[1] A hierarchical optimization framework is developed to analyze spatially complex watersheds and to support spatial decision making for land management practices. A watershed is subdivided into smaller spatial units according to its hierarchy, and a threelevel optimization approach determines optimal land allocations at the subarea, catchment, and 30 m cell levels. A storm water runoff simulation model is used to generate peak discharge pseudo data, under different land use patterns. The results are inputs to regression analyses, and the functional relationships between peak discharges and land use variables are estimated as quadratic functions (r 2 > 0.90). These functions are used in the optimization models to allocate future land uses to minimize peak discharges at the watershed and subarea outlets. The integrated hydrological land use optimization (IHLUO) model is next used to allocate land uses at the cell level. The results are promising, with a 46% reduction of the peak discharge rate as compared to the rate generated by the current land use pattern. The results provide site-specific guidelines for land use management and practices at a high spatial resolution (30 m). The proposed methodology is applied to the Old Woman Creek watershed, located in the southwestern basin of Lake Erie (Ohio).

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Section: Modeling Methodsmentioning

confidence: 99%

A hierarchical optimization approach to watershed land use planning

Yeo

Guldmann²,

Gordon³

2007

Water Resources Research

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“…2.2.2). The GIS-MODA approaches are presented in , Seppelt and Voinov (2002), Aerts et al (2003), , , Stewart et al (2004), , and , to mention a few. 3.3).…”

Section: Mcda Components Of Gis-mcdamentioning

confidence: 99%

Multicriteria Decision Analysis in Geographic Information Science

Malczewski

Rinner

2015

Advances in Geographic Information Science

576

374

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“…The value of conceptual frameworks such as that of Manson is that they can help make visible this process, allowing us to see which education problems we are approaching from which complexity orientations. According to Manson's analysis of complexity science in geography, algorithmic complexity has been used in that field to choose conservation areas to maximise biodiversity in a given region, although deterministic complexity has been used in predicting the dynamics of the climate, and aggregate complexity has guided the exploration of ecosystems within a region . We would encourage medical education researchers to think about which concepts and tools they are drawing from complexity science, why those tools resonate with them, and the implications of their choices for the insights they achieve.…”

Section: What Are the Implications Of This Use?mentioning

confidence: 99%

What is the state of complexity science in medical education research?

2018

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Context ‘Complexity’ is fast becoming a ‘god term’ in medical education, but little is known about how scholars in the field apply complexity science to the exploration of education phenomena. Complexity science presents both opportunities and challenges to those wishing to adopt its approaches in their research, and debates about its application in the field have emerged. However, these debates have tended towards a reductive characterisation of complexity versus simplicity. We argue that a more productive discussion centres on the multiplicity of complexity orientations, with their diverse disciplinary roots, concepts and terminologies. We discuss this multiplicity and use it to explore how medical education researchers have taken up complexity science in prominent journals in the field. Methods We synthesised the health sciences and medical education literature based on 46 papers published in the last 18 years (2000–2017) to describe the patterns of use of complexity science in medical education and to consider the consequences of those patterns for our ability to advance scholarly conversations about ‘complex’ phenomena in our field. Results We identified four patterns in the use of complexity science in medical education research. Firstly, complexity science is described in a variety of ways. Secondly, multiple approaches to complexity are used in combination in single papers. Thirdly, the type of complexity science used tends to be left implicit. Fourthly, the complexity orientation used is much more commonly located using secondary source citation rather than primary source citation. Conclusions The presence of these four patterns begs the question: Do medical education scholars understand that there are multiple legitimate orientations to complexity science, deriving from distinct disciplinary origins, drawing on different metaphors and serving distinct purposes? If we do not understand this, a cascade of potential consequences awaits. We may assume that complexity science is singular in that there is only one way to do it. This assumption may cause us to perceive our way as the ‘right’ way and to disregard other approaches as illegitimate. However, this perception of illegitimacy may limit our ability to enter into productive dialogue about our complexity science‐inspired research.

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Using Linear Integer Programming for Multi‐Site Land‐Use Allocation

Abstract: Research in the area of spatial decision support (SDS) and resource allocation has recently generated increased attention f o r integrating optimization techniques with

Cited by 176 publications

References 27 publications

A hierarchical optimization approach to watershed land use planning

A hierarchical optimization approach to watershed land use planning

Multicriteria Decision Analysis in Geographic Information Science

What is the state of complexity science in medical education research?

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