| Title |
Demo: Bostonhood: a multi-criteria platform for ranking city neighborhoods |
| ID_Doc |
44318 |
| Authors |
Kazepidou, D; Rousi, M; Gkatziaki, V; Vakali, A |
| Title |
Demo: Bostonhood: a multi-criteria platform for ranking city neighborhoods |
| Year |
2018 |
| Published |
|
| DOI |
10.1109/SMARTCOMP.2018.00060 |
| Abstract |
Recent advancements in information and communication technologies resulted an increase on data produced by the cities. These data are either produced on social media networks or collected by public services and are usually enriched with useful geospatial information. This influx of information coupled with the urge of urban designers to make cities smarter, led to the development of intelligent applications designed to facilitate the everyday lives of citizens. In this demo we present an online platform, Bostonhood, which is responsible for neighborhood recommendation and sustainability assessment. Data came from the official open data hub for the city of Boston, the location-based social network Foursquare and the Airbnb platform. The methodology that we followed combines two different Multi-Criteria Decision Analysis algorithms (COPRAS and TOPSIS) and creates a mutual ranking using the Borda count method. This platform is useful not only to citizens and tourists who want to find the best neighborhood to live in according to selected criteria but also to urban designers who want to improve Boston's sustainability. |
| Author Keywords |
Multi-criteria decision analysis; Data mining; Smart city; Neighborhood sustainability |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000502773100049 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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