Introducing Land Use Scanner

Koomen, E.; Hilferink, M.; Beurden, J.A.M. Borsboom-van

doi:10.1007/978-94-007-1822-7_1

Cited by 27 publications

(11 citation statements)

References 16 publications

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“…LUISA is a dynamic, spatial modelling platform which simulates future land use changes based on biophysical and socio-economic drivers. Its core was initially based on other land use models, namely the Land Use Scanner (Hilferink and Rietveld 1999 ; Koomen et al 2011 ), and the CLUE and Dyna-CLUE models (Veldkamp and Fresco 1996 ; Verburg et al 2006 ; Verburg and Overmars 2009 ), but its current form is the result of a continuous development effort by the Joint Research Centre (Lavalle et al 2011 ). It essentially downscales aggregate amounts of land use change expected in the future to a fine resolution using suitability maps for different land uses and neighbourhood relationships between land uses.…”

Section: Methodsmentioning

confidence: 99%

More green infrastructure is required to maintain ecosystem services under current trends in land-use change in Europe

et al. 2014

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Green infrastructure (GI), a network of nature, semi-natural areas and green space, delivers essential ecosystem services which underpin human well-being and quality of life. Maintaining ecosystem services through the development of GI is therefore increasingly recognized by policies as a strategy to cope with potentially changing conditions in the future. This paper assessed how current trends of land-use change have an impact on the aggregated provision of eight ecosystem services at the regional scale of the European Union, measured by the Total Ecosystem Services Index (TESI8). Moreover, the paper reports how further implementation of GI across Europe can help maintain ecosystem services at baseline levels. Current demographic, economic and agricultural trends, which affect land use, were derived from the so called Reference Scenario. This scenario is established by the European Commission to assess the impact of energy and climate policy up to 2050. Under the Reference Scenario, economic growth, coupled with the total population, stimulates increasing urban and industrial expansion. TESI8 is expected to decrease across Europe between 0 and 5 % by 2020 and between 10 and 15 % by 2050 relative to the base year 2010. Based on regression analysis, we estimated that every additional percent increase of the proportion of artificial land needs to be compensated with an increase of 2.2 % of land that qualifies as green infrastructure in order to maintain ecosystem services at 2010 levels.

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Section: Methodsmentioning

confidence: 99%

More green infrastructure is required to maintain ecosystem services under current trends in land-use change in Europe

et al. 2014

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“…Furthermore, the approach makes the use of original feature shapes for incorporating industrial land transition process and land use maps from three non-consecutive years is sufficient, which renders its feasibility to apply this methodology with limited data requirements. Last but not least, the developed scripts can be plug-ins for various land use simulation and planning support systems such as Metronamica (van Delden et al, 2010(van Delden et al, , 2011; "Metronamica documentation," 2012) and Land Use Scanner (Koomen, Hilferink, & Beurden, 2011) to integrate the impacts of such transition processes. Even though the focus in this study is mainly on industrial land transition analysis in the Netherland, the proposed framework provides a generic approach to analyse other land use transition processes in other regions.…”

Section: Conclusion and Further Directionsmentioning

confidence: 99%

A framework for path-dependent industrial land transition analysis using vector data

Wang

Kazak

Han

et al. 2019

European Planning Studies

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Industrial land is under transition globally. Insights into this transition are important to plan a sustainable future. Since industrial land follows parcel shapes and the transition process requires multi-year data to observe the impacts of such changes, multi-year vector data should be used to analyse industrial land transition. This paper presents a framework to analyse pathdependent regional industrial land transition processes using vector data. A step by step instruction is presented. In the analysis, the changed percentages of land use in the surroundings of appeared or disappeared industrial land are visualized. The visualized surrounding land use compositions give planners an idea on what causes land use transitions, the most frequent transition forms and their impacts on the surroundings, purely from a land use point of view to reduce data collection efforts. The North Brabant region in the Netherlands is used as a case study. The region is split into urban and non-urban areas to show the generic applicability of this framework.

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“…Besides the local suitability module, the land-use change model in this study has two other modules: the regional demand module and the allocation module (Koomen et al, 2011). The regional demand module contains information on the projections of the total future demand for each land-use class, distributed over the specified regions.…”

Section: 2mentioning

confidence: 99%

“…The land-use change model makes a distinction between endogenous and exogenous land-use classes (Koomen et al, 2011). Exogenous land-use classes do not undergo the local suitability calculation, and their spatial distribution is exogenously defined.…”

Section: Extension For the Land-use Change Dynamicsmentioning

confidence: 99%

What are the merits of endogenising land-use change dynamics into model-based climate adaptation planning?

Jafino

Haasnoot

Kwakkel

2019

SESMO

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Integrated assessment models often treat land-use change as an external driving force. In reality, land-use is influenced by environmental conditions. This paper explores the merits of endogenising land-use change, i.e. making the land-use change a dynamic internal process, in models used for supporting climate adaptation planning. For this purpose, we extend the Waas model, a hypothetical case study used before for testing new model-based climate adaptation approaches. We use a utility-based land-use change model for endogenising the land-use dynamics, evaluate its implications, and identify the conditions under which it becomes important. We find that endogenising land-use dynamics changes the performance of the policies, allows for assessing policies that affect land-use, and widens the outcomes of interest that can be considered. The relevancy of endogenising land-use dynamics depends on (i) the expected severity of future climate change, (ii) the society’s sensitivity to climate events, and (iii) the types of policy options that decision makers want to evaluate. Ignoring the interaction between the environment and the society (in this case land-use) can result in both under- and overestimation of the impacts of adaptation and might limit the adaptation options that are considered.

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Introducing Land Use Scanner

Cited by 27 publications

References 16 publications

More green infrastructure is required to maintain ecosystem services under current trends in land-use change in Europe

More green infrastructure is required to maintain ecosystem services under current trends in land-use change in Europe

A framework for path-dependent industrial land transition analysis using vector data

What are the merits of endogenising land-use change dynamics into model-based climate adaptation planning?

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