A semi-automatic neighborhood rule discovery approach

Wang, Tong; Han, Qi; Vries, B Bauke de

doi:10.1016/j.apgeog.2017.08.014

Cited by 12 publications

(9 citation statements)

References 47 publications

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“…The analysis process helps to find four important aspects of industrial land transition: the inertia for industrial land to stay, the attractiveness of surrounding land uses for industrial land to appear, the most common transition forms for industrial land and the impacts of industrial transitions on the surrounding land uses. This analysis procedure is also used to derive neighbourhood land use interaction rules for cellular automata land use change simulation models in another paper (Wang, Han, & de Vries, 2017a). The analysis framework can also help policymakers to evaluate their transition plans and plan the future land uses in a sustainable way, combined with case-based reasoning (Wang, Han, & de Vries, 2017b).…”

Section: Objectivesmentioning

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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Section: Objectivesmentioning

confidence: 99%

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

Wang

Kazak

Han

et al. 2019

European Planning Studies

Self Cite

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“…It is necessary to properly estimate their capacity in relation to changing water levels [54,55]. Decisive information could be complemented by simulations of land use changes and land take impact assessments [56,57] or the indictor-based spatial multivariate analysis [57,58].…”

Section: Introductionmentioning

confidence: 99%

A Location Intelligence System for the Assessment of Pluvial Flooding Risk and the Identification of Storm Water Pollutant Sources from Roads in Suburbanised Areas

Szewrański

Chruściński

Hoof

et al. 2018

Water

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The interplay of an ever-growing number of inhabitants, sprawl development, soil sealing, changes in urban traffic characteristics, as well as observed climate trends gives rise to more frequent pluvial flooding in cities, a higher runoff of water, and an increasing pollution of surface water. The aim of this research is to develop a location intelligence system for the assessment of pluvial flooding risks and the identification of storm water pollutant sources from roads in newly-developed areas. The system combines geographic information systems and business intelligence software, and it is based on the original Pluvial Flood Risk Assessment tool. The location intelligence system effectively identifies the spatial and temporal distribution of pluvial flood risks, allows to preliminarily evaluate the total runoff from roads, and helps localise potential places for new water management infrastructure. Further improvements concern the modelling of a flow accumulation and drainage system, the application of weather radar precipitation data, and traffic monitoring and modelling.

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“…Metronamica is a spatial decision support system based on cellular automata, which allows for the preparation of projections of potential future changes in land use in different scenarios [61,63]. Each scenario can be assessed based on indicators that are calculated from a raster format of the used data [60].…”

Section: Cellular Automata Modellingmentioning

confidence: 99%

“…The applicability of this assessment model is illustrated through a scenario-based approach to study changes in land development, in which the case of the Wrocław Larger Urban Zone (Poland) [59] is presented. The model uses a decision support system based on cellular automata, which is currently used as a highly specialized knowledge-based tool [60,61]. Each scenario was assessed according to the possibility of UHI appearance in specific parts of the area.…”

Section: Introductionmentioning

confidence: 99%

The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions—The Case of the Wrocław Larger Urban Zone (Poland)

Kazak

2018

Sustainability

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Abstract:The increasing level of antropopression has a negative impact on environmental resources and has reached the level of our planetary boundaries. One limitation is land use change caused by urbanization. Global policies prove the need to undertake action in order to develop more sustainable human settlements, which would be adapted better to potential future climate change effects. Among such changes are the increase of average temperatures and extreme events like heat waves. Those changes are more severe in urban areas due to land use development, and result in the urban heat island effect (UHI), which has a negative impact on the thermal comfort of citizens. The paper presents a decision support system that can be used for the assessment of areas to the potential exposure to the UHI effect. The system integrates scenario analysis, land use modelling in cellular automata (Metronamica), and an indicator-based assessment in a geographic information system (ArcGIS). The applicability of the model is illustrated through developing scenarios for the future land use allocation of the Wrocław Larger Urban Zone (Poland). The results of the calculations show which scenario is the least vulnerable to UHI effects. Moreover, for each scenario, cores of urban areas were identified, in which certain urban design patterns accounting for adaptation to climate change could be implemented. The study provides a guideline for local authorities on where to focus actions in order to create more sustainable urban structures and to better adapt to climate change and environmental extremes.

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A semi-automatic neighborhood rule discovery approach

Cited by 12 publications

References 47 publications

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

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

A Location Intelligence System for the Assessment of Pluvial Flooding Risk and the Identification of Storm Water Pollutant Sources from Roads in Suburbanised Areas

The Use of a Decision Support System for Sustainable Urbanization and Thermal Comfort in Adaptation to Climate Change Actions—The Case of the Wrocław Larger Urban Zone (Poland)

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