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Rapid expansion of settlements and related infrastructures is a global trend that comes with severe environmental, economic, and social costs. Steering urbanization toward well-balanced compactness is thus acknowledged as an important strategic orientation in UN Sustainable Development Goal 11 (SDG-11) via the SDG-indicator “Ratio of land consumption rate to population growth rate.” The EU’s simultaneous commitment to being “a frontrunner in implementing […] the SDGs” and to striving for “no net land take until 2050” calls for relating the concepts of land consumption and land take to each other. Drawing on an EU-centred questionnaire study, a focus group and a literature review, we scrutinize definitions of land consumption and land take, seeking to show how they are interrelated, and questioning the comparability of respective indicators. We argue that conceptual clarifications and a bridging of the two notions are much needed, and that the precision required for definitions and applications is context-dependent. While approximate understandings may suffice for general communication and dissemination objectives, accurate and consistent interpretations of the discussed concepts seem indispensable for monitoring and reporting purposes. We propose ways of addressing existing ambiguities and suggest prioritizing the term land take in the EU context. Thereby, we aim to enhance conceptual clarity around land consumption and land take—a precondition for solidly informing respective policies and decisions.
Elisabeth Marquard; Stephan Bartke; Judith Gifreu I Font; Alois Humer; Arend Jonkman; Evelin Jürgenson; Naja Marot; Lien Poelmans; Blaž Repe; Robert Rybski; Christoph Schröter-Schlaack; Jaroslava Sobocká; Michael Tophøj Sørensen; Eliška Vejchodská; Athena Yiannakou; Jana Bovet. Land Consumption and Land Take: Enhancing Conceptual Clarity for Evaluating Spatial Governance in the EU Context. Sustainability 2020, 12, 8269 .
AMA StyleElisabeth Marquard, Stephan Bartke, Judith Gifreu I Font, Alois Humer, Arend Jonkman, Evelin Jürgenson, Naja Marot, Lien Poelmans, Blaž Repe, Robert Rybski, Christoph Schröter-Schlaack, Jaroslava Sobocká, Michael Tophøj Sørensen, Eliška Vejchodská, Athena Yiannakou, Jana Bovet. Land Consumption and Land Take: Enhancing Conceptual Clarity for Evaluating Spatial Governance in the EU Context. Sustainability. 2020; 12 (19):8269.
Chicago/Turabian StyleElisabeth Marquard; Stephan Bartke; Judith Gifreu I Font; Alois Humer; Arend Jonkman; Evelin Jürgenson; Naja Marot; Lien Poelmans; Blaž Repe; Robert Rybski; Christoph Schröter-Schlaack; Jaroslava Sobocká; Michael Tophøj Sørensen; Eliška Vejchodská; Athena Yiannakou; Jana Bovet. 2020. "Land Consumption and Land Take: Enhancing Conceptual Clarity for Evaluating Spatial Governance in the EU Context." Sustainability 12, no. 19: 8269.
Hendrik Wouters; Koen De Ridder; Lien Poelmans; Patrick Willems; Johan Brouwers; Parisa Hosseinzadehtalaei; Hossein Tabari; Sam Vanden Broucke; Nicole P. M. Van Lipzig; Matthias Demuzere. Heat stress increase under climate change twice as large in cities as in rural areas: A study for a densely populated midlatitude maritime region. Geophysical Research Letters 2017, 44, 8997 -9007.
AMA StyleHendrik Wouters, Koen De Ridder, Lien Poelmans, Patrick Willems, Johan Brouwers, Parisa Hosseinzadehtalaei, Hossein Tabari, Sam Vanden Broucke, Nicole P. M. Van Lipzig, Matthias Demuzere. Heat stress increase under climate change twice as large in cities as in rural areas: A study for a densely populated midlatitude maritime region. Geophysical Research Letters. 2017; 44 (17):8997-9007.
Chicago/Turabian StyleHendrik Wouters; Koen De Ridder; Lien Poelmans; Patrick Willems; Johan Brouwers; Parisa Hosseinzadehtalaei; Hossein Tabari; Sam Vanden Broucke; Nicole P. M. Van Lipzig; Matthias Demuzere. 2017. "Heat stress increase under climate change twice as large in cities as in rural areas: A study for a densely populated midlatitude maritime region." Geophysical Research Letters 44, no. 17: 8997-9007.
Tomas Crols; Sven Vanderhaegen; Frank Canters; Guy Engelen; Lien Poelmans; Inge Uljee; Roger White. Downdating high-resolution population density maps using sealed surface cover time series. Landscape and Urban Planning 2017, 160, 96 -106.
AMA StyleTomas Crols, Sven Vanderhaegen, Frank Canters, Guy Engelen, Lien Poelmans, Inge Uljee, Roger White. Downdating high-resolution population density maps using sealed surface cover time series. Landscape and Urban Planning. 2017; 160 ():96-106.
Chicago/Turabian StyleTomas Crols; Sven Vanderhaegen; Frank Canters; Guy Engelen; Lien Poelmans; Inge Uljee; Roger White. 2017. "Downdating high-resolution population density maps using sealed surface cover time series." Landscape and Urban Planning 160, no. : 96-106.
Simulating population distribution and land use changes in space and time offer opportunities for smart city planning. It provides a holistic and dynamic vision of fast changing urban environment to policy makers. Impacts, such as environmental and health risks or mobility issues, of policies can be assessed and adapted consequently. In this paper, we suppose that “Smart” city developments should be sustainable, dynamic and participative. This paper addresses these three smart objectives in the context of urban risk assessment in Wallonia, Belgium. The sustainable, dynamic and participative solution includes (i) land cover and land use mapping using remote sensing and GIS, (ii) population density mapping using dasymetric mapping, (iii) predictive modelling of land use changes and population dynamics and (iv) risk assessment. The comprehensive and long-term vision of the territory should help to draw sustainable spatial planning policies, to adapt remote sensing acquisition, to update GIS data and to refine risk assessment from regional to city scale.
N. Stephenne; B. Beaumont; E. Hallot; E. Wolff; L. Poelmans; C. Baltus. SUSTAINABLE AND SMART CITY PLANNING USING SPATIAL DATA IN WALLONIA. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2016, IV-4/W1, 3 -10.
AMA StyleN. Stephenne, B. Beaumont, E. Hallot, E. Wolff, L. Poelmans, C. Baltus. SUSTAINABLE AND SMART CITY PLANNING USING SPATIAL DATA IN WALLONIA. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2016; IV-4/W1 ():3-10.
Chicago/Turabian StyleN. Stephenne; B. Beaumont; E. Hallot; E. Wolff; L. Poelmans; C. Baltus. 2016. "SUSTAINABLE AND SMART CITY PLANNING USING SPATIAL DATA IN WALLONIA." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W1, no. : 3-10.
Simulating population distribution and land use changes in space and time offer opportunities for smart city planning. It provides a holistic and dynamic vision of fast changing urban environment to policy makers. Impacts, such as environmental and health risks or mobility issues, of policies can be assessed and adapted consequently. In this paper, we suppose that “Smart” city developments should be sustainable, dynamic and participative. This paper addresses these three smart objectives in the context of urban risk assessment in Wallonia, Belgium. The sustainable, dynamic and participative solution includes (i) land cover and land use mapping using remote sensing and GIS, (ii) population density mapping using dasymetric mapping, (iii) predictive modelling of land use changes and population dynamics and (iv) risk assessment. The comprehensive and long-term vision of the territory should help to draw sustainable spatial planning policies, to adapt remote sensing acquisition, to update GIS data and to refine risk assessment from regional to city scale.
N. Stephenne; B. Beaumont; E. Hallot; E. Wolff; L. Poelmans; C. Baltus. SUSTAINABLE AND SMART CITY PLANNING USING SPATIAL DATA IN WALLONIA. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2016, III-4/W1, 3 -10.
AMA StyleN. Stephenne, B. Beaumont, E. Hallot, E. Wolff, L. Poelmans, C. Baltus. SUSTAINABLE AND SMART CITY PLANNING USING SPATIAL DATA IN WALLONIA. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2016; III-4/W1 ():3-10.
Chicago/Turabian StyleN. Stephenne; B. Beaumont; E. Hallot; E. Wolff; L. Poelmans; C. Baltus. 2016. "SUSTAINABLE AND SMART CITY PLANNING USING SPATIAL DATA IN WALLONIA." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences III-4/W1, no. : 3-10.
Land use change models are powerful tools that allow planners and policy makers to assess the long-term spatial and environmental impacts of their decisions. In order for these models to produce a realistic output, they should be properly calibrated. This is usually achieved by comparing simulated land-use maps of dates in the past to reference land-use maps of a corresponding date. As land-use data are often not readily or frequently available, we propose a two-stage calibration framework that includes existing land-use maps as well as remote sensing derived maps of the urban extent. Urban growth patterns for the Dublin area represented by remote sensing based maps were compared to simulated growth using spatial metrics in order to fine-tune the calibration of the MOLAND urban growth model of Dublin. We then used the calibrated model to forecast future urban growth according to four urban planning scenarios that have been defined for the Strategic Environmental Assessment of the Greater Dublin Area. We examined a selection of spatial metrics in order to determine their sensitivity to differences in spatial patterns between simulated and remote sensing derived data. We also investigated whether these metrics are useful to characterise future changes in the urban spatial structure that ensue from the planning scenarios. We found that with the exception of some metrics that strongly respond to differences in the amount of urban land, most metrics showed similar trends for simulated and remote sensing derived maps. Most metrics were also able to distinguish the growth patterns induced by the different spatial planning scenarios. The “business as usual scenario” in particular showed a clearly distinct trend compared to the other scenarios. We could also conclude that the urban growth pattern of Dublin as observed from both the remote sensing derived maps and the simulated maps of future land use seems to confirm the theory of alternating phases of diffusive growth and coalescence.
Tim Van de Voorde; Johannes van der Kwast; Lien Poelmans; Frank Canters; Marc Binard; Yves Cornet; Guy Engelen; Inge Uljee; Harutyun Shahumyan; Brendan Williams; Sheila Convery; Carlo LaValle. Projecting alternative urban growth patterns: The development and application of a remote sensing assisted calibration framework for the Greater Dublin Area. Ecological Indicators 2016, 60, 1056 -1069.
AMA StyleTim Van de Voorde, Johannes van der Kwast, Lien Poelmans, Frank Canters, Marc Binard, Yves Cornet, Guy Engelen, Inge Uljee, Harutyun Shahumyan, Brendan Williams, Sheila Convery, Carlo LaValle. Projecting alternative urban growth patterns: The development and application of a remote sensing assisted calibration framework for the Greater Dublin Area. Ecological Indicators. 2016; 60 ():1056-1069.
Chicago/Turabian StyleTim Van de Voorde; Johannes van der Kwast; Lien Poelmans; Frank Canters; Marc Binard; Yves Cornet; Guy Engelen; Inge Uljee; Harutyun Shahumyan; Brendan Williams; Sheila Convery; Carlo LaValle. 2016. "Projecting alternative urban growth patterns: The development and application of a remote sensing assisted calibration framework for the Greater Dublin Area." Ecological Indicators 60, no. : 1056-1069.
Urban growth and population growth are used in numerous models to determine their potential impacts on both the natural and the socio-economic systems. Cellular automata (CA) land-use models became popular for urban growth modelling since they predict spatial interactions between different land uses in an explicit and straightforward manner. A common deficiency of land-use models is that they only deal with abstract categories, while in reality, several activities are often hosted at one location (e.g. population, employment, agricultural yield, nature…). Recently, a multiple activity-based variable grid CA model was proposed to represent several urban activities (population and economic activities) within single model cells. The distance-decay influence rules of the model included both short- and long-distance interactions, but all distances between cells were simply Euclidean distances. The geometry of the real transportation system, as well as its interrelations with the evolving activities, were therefore not taken into account. To improve this particular model, we make the influence rules functions of time travelled on the transportation system. Specifically, the new algorithm computes and stores all travel times needed for the variable grid CA. This approach provides fast run times, and it has a higher resolution and more easily modified parameters than the alternative approach of coupling the activity-based CA model to an external transportation model. This paper presents results from one Euclidean scenario and four different transport network scenarios to show the effects on land-use and activity change in an application to Belgium. The approach can add value to urban scenario analysis and the development of transport- and activity-related spatial indicators, and constitutes a general improvement of the activity-based CA model.
Tomas Crols; Roger White; Inge Uljee; Guy Engelen; Lien Poelmans; Frank Canters. A travel time-based variable grid approach for an activity-based cellular automata model. International Journal of Geographical Information Science 2015, 29, 1757 -1781.
AMA StyleTomas Crols, Roger White, Inge Uljee, Guy Engelen, Lien Poelmans, Frank Canters. A travel time-based variable grid approach for an activity-based cellular automata model. International Journal of Geographical Information Science. 2015; 29 (10):1757-1781.
Chicago/Turabian StyleTomas Crols; Roger White; Inge Uljee; Guy Engelen; Lien Poelmans; Frank Canters. 2015. "A travel time-based variable grid approach for an activity-based cellular automata model." International Journal of Geographical Information Science 29, no. 10: 1757-1781.
Process-based spatio-temporal component models simulate real world processes, using encapsulated process representations that operate at individual spatial and temporal discretisations. These component models act as building blocks in the construction of multi-disciplinary, multi-scale integrated models. Coupling these independent component models, however, involves aggregation or disaggregation of the exchanged variables at model runtime, since each of the component models exposes potentially different spatial and temporal discretisations. Although conceptual methodologies for spatial and temporal scaling are available, dedicated tools that assist modellers to implement dynamic spatial and temporal scaling operations are rare. We present the accumulator, a programmable general-purpose model building block executing custom scaling operations at model runtime. We therefore characterise runtime information of input and output variables required for the implementation of scaling operations between component models with different discretisations. The accumulator is a component of an integrated modelling framework and can be completed by the modeller with custom operations for spatial and temporal scaling. To illustrate the applicability of the accumulators an integrated model is developed that couples an existing land use change model and hydrological component models at different spatial and temporal scales. The accumulators as building blocks allow modellers to construct multi-scale integrated models in a flexible manner.
Oliver Schmitz; Elga Salvadore; Lien Poelmans; Johannes van der Kwast; Derek Karssenberg. A framework to resolve spatio-temporal misalignment in component-based modelling. Journal of Hydroinformatics 2013, 16, 850 -871.
AMA StyleOliver Schmitz, Elga Salvadore, Lien Poelmans, Johannes van der Kwast, Derek Karssenberg. A framework to resolve spatio-temporal misalignment in component-based modelling. Journal of Hydroinformatics. 2013; 16 (4):850-871.
Chicago/Turabian StyleOliver Schmitz; Elga Salvadore; Lien Poelmans; Johannes van der Kwast; Derek Karssenberg. 2013. "A framework to resolve spatio-temporal misalignment in component-based modelling." Journal of Hydroinformatics 16, no. 4: 850-871.
An essential part of hydrological research focuses on hydrological extremes, such as river peak flows and associated floods, because of their large impact on economy, environment, and human life. These extremes can be affected by potential future environmental change, including global climate change and land cover change. In this paper, the relative impact of both climate change and urban expansion on the peak flows and flood extent is investigated for a small‐scale suburban catchment in Belgium. A rainfall‐runoff model was coupled to a hydrodynamic model in order to simulate the present‐day and future river streamflow. The coupled model was calibrated based on a series of measured water depths and, after model validation, fed with different climate change and urban expansion scenarios in order to evaluate the relative impact of both driving factors on the peak flows and flood extent. The three climate change scenarios that were used (dry, wet winter, wet summer) were based on a statistical downscaling of 58 different RCM and GCM scenario runs. The urban expansion scenarios were based on three different urban growth rates (low, medium, high urban expansion) that were set up by means of an extrapolation of the observed trend of urban expansion. The results suggest that possible future climate change is the main source of uncertainty affecting changes in peak flow and flood extent. The urban expansion scenarios show a more consistent trend. The potential damage related to a flood is, however, mainly influenced by land cover changes that occur in the floodplain. Copyright © 2011 John Wiley & Sons, Ltd.
Lien Poelmans; Anton Van Rompaey; Victor Ntegeka; Patrick Willems. The relative impact of climate change and urban expansion on peak flows: a case study in central Belgium. Hydrological Processes 2011, 25, 2846 -2858.
AMA StyleLien Poelmans, Anton Van Rompaey, Victor Ntegeka, Patrick Willems. The relative impact of climate change and urban expansion on peak flows: a case study in central Belgium. Hydrological Processes. 2011; 25 (18):2846-2858.
Chicago/Turabian StyleLien Poelmans; Anton Van Rompaey; Victor Ntegeka; Patrick Willems. 2011. "The relative impact of climate change and urban expansion on peak flows: a case study in central Belgium." Hydrological Processes 25, no. 18: 2846-2858.