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Full-Text Articles in Civil Engineering
Design Of Decision Support Tools For The Quality Assessment Of Illegal Dumping Notifications Based On Crowd-Sourced Data, Jan Brus, Jakub Vrkoč, Miroslav Kubásek
Design Of Decision Support Tools For The Quality Assessment Of Illegal Dumping Notifications Based On Crowd-Sourced Data, Jan Brus, Jakub Vrkoč, Miroslav Kubásek
International Congress on Environmental Modelling and Software
Illegal dumping has become an increasingly significant environmental problem throughout the Czech Republic and also in Prague. The waste is disposed in areas such as vacant lots, along roadways, alleys, city and county parks, ravines, construction sites. The challenge for cities dealing with illegal dumping is that it is tough to identify when it will happen, where it will occur, and how much will be dumped. The paper is therefore focused on designing a decision support tool, which uses crowdsourcing data to cope with this problem as the management of illegal dumps can be built upon citizen reports via the …
Using Web Content For Informing Water Management In Snow-Dominated Catchments, M. Giuliani, R. Fedorov, A. Castelleti, P. Fraternali
Using Web Content For Informing Water Management In Snow-Dominated Catchments, M. Giuliani, R. Fedorov, A. Castelleti, P. Fraternali
International Congress on Environmental Modelling and Software
Snow accumulation and melting are fundamental components of the hydrologic cycle in many water systems across the world. In such contexts, improving snow monitoring can be extremely valuable in a variety of operational contexts, such as avalanche protection, medium to long-term streamflow forecast, and drought risk management. Despite recent advances in environmental monitoring systems, continuous snow monitoring systems able to collect data at high spatial and temporal resolution are not well established yet. The unprecedented availability of user generated data on the Web is opening new opportunities for enhancing real-time monitoring and modeling of environmental systems based on data that …
Evaluating The Use Of Crowdsourcing As A Data Collection Method For Bicycle Performance Measures And Identification Of Facility Improvement Needs, Miguel A. Figliozzi, Bryan Philip Blanc
Evaluating The Use Of Crowdsourcing As A Data Collection Method For Bicycle Performance Measures And Identification Of Facility Improvement Needs, Miguel A. Figliozzi, Bryan Philip Blanc
Civil and Environmental Engineering Faculty Publications and Presentations
This research developed a smartphone application called ORcycle to collect cyclists’ routes, users, and comfort levels. ORcycle combines GPS revealed route data collection with new questionnaires that try to elicit cyclists’ attitudes as well as comfort levels and factors that influence their perceived comfort and route choice. The new questionnaires were developed to better understand how cyclists’ comfort levels are affected by route characteristics, route stressors, safety reports, cyclists’ demographics, and cyclists’ cycling attitude. Preliminary results show that many trip characteristics, route choice factors, route stressors and demographic variables are correlated with comfort levels. ORcycle is the first statewide deployment …
State And Trends In Mobile Observation Applications, Denis Havlik, Gerald Schimak
State And Trends In Mobile Observation Applications, Denis Havlik, Gerald Schimak
International Congress on Environmental Modelling and Software
The stellar growth of the smartphones and nearly gapless mobile network coverage in urban and suburban areas has widely extended the potential of the citizens' observatories. The possibility to easily record observations made by mobile citizens, and to automatically enrich this information using the built-in and external sensors sounds like a dream come true of the scientists and decision makers alike. However, in 2013 only a tiny portion of the potential users really participated in the citizen observation programs and the usability of the received information is often below expectations. The learning curve is often too high, sensor quality too …
Involving Citizens Into Mapping Of Illegal Landfills And Other Civic Issues In The Czech Republic, Miroslay Kubásek, Jiři Hřebíček
Involving Citizens Into Mapping Of Illegal Landfills And Other Civic Issues In The Czech Republic, Miroslay Kubásek, Jiři Hřebíček
International Congress on Environmental Modelling and Software
Today's smartphones can unlock the full potential of crowdsourcing and take eParticipation to a new level. Users are allowed to transparently contribute to complex and novel problem solving. Engagement of citizens is still challenging but the proliferation of smartphones with geolocation have made it easier than before. The paper introduces the environmental project called ZmapujTo.cz. This project is primarily intended to fight illegal waste dumps in the Czech Republic. The idea is to use the potential awareness of the broader public about the environmental and economic drawbacks of illegal landfills. We developed a more efficient version of the web portal …
Crowdsourcing In Early Warning Systems, Ulrich Meissen, Frank Fuchs-Kittowski
Crowdsourcing In Early Warning Systems, Ulrich Meissen, Frank Fuchs-Kittowski
International Congress on Environmental Modelling and Software
The use of mobile devices as an effective and targeted way for alerting the public in cases of disasters has become an important part of future infrastructures for early warning and disaster management. In contrast to classical alert approaches such as TV, Radio and sirens that are offering solely a one-directional communication the use of smart phones opens new potentials such as feedback mechanisms that support more precise warnings and adapted response actions. In this context crowdsourcing techniques show a high potential as an effective measure to meliorate the data basis for predictions and augment warnings. This paper discusses the …
A Bayesian Maximum Entropy Scheme For The Assimilation Of Mobile Recordings With Simulations Of Urban Micrometeorological Data, Uwe Schlink, Gabi Fischer
A Bayesian Maximum Entropy Scheme For The Assimilation Of Mobile Recordings With Simulations Of Urban Micrometeorological Data, Uwe Schlink, Gabi Fischer
International Congress on Environmental Modelling and Software
This paper proposes a framework for assimilating urban temperature measurements with simulations of an urban micrometeorological model. Data assimilation, a technique that incorporates observations into a computer model of a real system, is commonly applied in global and regional weather forecasting and an emerging issue in urban meteorological modelling. For that purpose, we suggest applying a novel approach, the Spatiotemporal Epistemic Knowledge Synthesis (SEKS). It combines simulations of a thermodynamic urban climate model, as general knowledge base, with a model output statistics (MOS) of observations, as site-specific knowledge base, by means of Bayesian Maximum Entropy (BME) inference resulting in posterior …