Geo-Dynamic Decision Support System for Urban Traffic Management

Kazak, Jan; Chalfen, Mieczysław; Kamińska, Joanna; Szewrański, Szymon; Świąder, Małgorzata

doi:10.1007/978-3-319-61297-3_14

Cited by 23 publications

(16 citation statements)

References 19 publications

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“…PFRA is an original script and can therefore be combined with any spatial model. As the storm run-off quality depends on the traffic density, in future research, the identification of storm water pollutant sources from roads will be enriched by real-time traffic monitoring or traffic modelling component with use of graph theory [67]. PFRA also needs to be enriched by flow accumulation modelling.…”

Section: Discussionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

“…Modelling results are stored in a tabular, spatiotemporal database, and are connected to a business intelligence system, responsible for visual data exploration ( Figure 1). The location intelligence system is based on actively connected ArcGIS and Tableau software [66,67].…”

Section: Location Intelligence Systemmentioning

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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“…9 Some issues have to be solved at the scale of the whole city, like urban traffic management. This is especially the case when it concerns atypical events, for instance, unloading traffic after mass events, evacuation situations, temporary closings of sections of a road 10 or when analysing multifactorial social phenomena like social vulnerability to floods depending on the age and wealth of residents in a given neighbourhood. 11 Finally, some issues relate to the supra-local level, such as the optimisation of an energy installation location in the suburban zones of a city 1 or the impact of urban design patterns on the exposure to serious environmental stressors as the urban heat island effect.…”

Section: Dsss For Urban Developmentmentioning

confidence: 99%

Decision support systems for a sustainable management of the indoor and built environment

Kazak

Hoof

2018

Indoor and Built Environment

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“…Such approach reflects the functional and spatial transformations better and thus allows for a more precise evaluation of processes. The analysis of the neighbourhood of areas subject to spatial transformations is currently the topic of scientific research, and the results of neighbourhood impact analyses enable the modelling of future spatial changes that result both from the natural environment forming processes and human interference with the spatial structure (Wang et al, 2017).The calculation and application of indicators in spatial management practice may be utilitarian by means of their implementation in local evaluation models and decision support systems 2018).…”

Section: Introductionmentioning

confidence: 99%

The Impact of a Large City on Land Use in Suburban Area – the Case of Wrocław (Poland)

Tokarczyk-Dorociak¹,

Kazak²,

Szewrański³

2018

J. Ecol. Eng.

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Land use and the landscape of the suburban area are strongly affected by the impact of a large city, which is an important factor determining their development. The paper presents the results of analyses of the functional and spatial transformations depending on the distance from city limits and main access roads. The analyses were based on CORINE data for the years: 1990, 2000 and 2006. The spatial transformations in the specified distance buffers were described with use of the indicator of the share of specific land use areas in the total surface area and the indicator of the average landscape patch surface area. The conducted analyses confirm that the spatial patterns characteristic for suburbanisation exist in the vicinity of large cities and along access roads. The phenomena noticed in the suburban zone of Wrocław include, among others, an increased share of surface area used for residential purposes, a decreased area of arable lands, and an increased concentration of commercial and industrial areas in the direct proximity of the city and access roads.

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Geo-Dynamic Decision Support System for Urban Traffic Management

Cited by 23 publications

References 19 publications

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

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

Decision support systems for a sustainable management of the indoor and built environment

The Impact of a Large City on Land Use in Suburban Area – the Case of Wrocław (Poland)

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