As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
Urban data mining is a promising tool for understanding complicated city systems. Indeed, data in urban spaces acquired from sensors and the web provides insights which, when used correctly, help city operation and development. Hopefully, it must improve the quality of citizens' life drastically in the present and future. However, data specifics involve particular difficulties in data management which results in its limited usage among specialists. Development and enhancement of techniques and tools that is used for data operation while tackling real urban challenges allow one both gain wider acceptance of such methods and increase impact of decisions made.
In this paper, an approach treating a certain declarative query language for management data on municipal solid waste is introduced. The information system high-level design issues implied by the urban data querying paradigm are proposed.
A case study is conducted in Petrozavodsk, Republic of Karelia, Russia, aiming to make the process of introduction of waste separate collection more efficient. The urban data management approach is supported by a real-life task of OpenStreetMap objects of the Petrozavodsk area manipulation which is essential for more complicated urban analysis.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.