Keywords

crowdsourcing, Maxent, illegal dump, ZmapujTo

Location

Session D3: Advances in Environmental - Decision Support - Software Systems

Start Date

12-7-2016 9:30 AM

End Date

12-7-2016 9:50 AM

Abstract

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 internet. Many people possess smartphones with data connection to the Internet and are not only limited to Wi-Fi networks. Cellular data transfer is one of the most important prerequisites for the usage of mobile applications which are a huge source of spatial data based on crowdsourcing principles. As the quality of reports in time varies, it is important to focus on the spatial accuracy of reports to increase the efficiency of reporting. For this reason, the spatial quality assessment approach is applied in the application for illegal dumping notifications – “ZmapujTo” for the city of Prague. The model uses the maximum entropy approach combined with several other methods for data validation to automatically access the quality of report based on spatial location.

 
Jul 12th, 9:30 AM Jul 12th, 9:50 AM

Design of decision support tools for the quality assessment of illegal dumping notifications based on crowd-sourced data

Session D3: Advances in Environmental - Decision Support - Software Systems

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 internet. Many people possess smartphones with data connection to the Internet and are not only limited to Wi-Fi networks. Cellular data transfer is one of the most important prerequisites for the usage of mobile applications which are a huge source of spatial data based on crowdsourcing principles. As the quality of reports in time varies, it is important to focus on the spatial accuracy of reports to increase the efficiency of reporting. For this reason, the spatial quality assessment approach is applied in the application for illegal dumping notifications – “ZmapujTo” for the city of Prague. The model uses the maximum entropy approach combined with several other methods for data validation to automatically access the quality of report based on spatial location.