| Title |
gtfs2net: Extraction of General Transit Feed Specification Data Sets to Abstract Networks and Their Analysis |
| ID_Doc |
44014 |
| Authors |
Kocsis, G; Varga, I |
| Title |
gtfs2net: Extraction of General Transit Feed Specification Data Sets to Abstract Networks and Their Analysis |
| Year |
2023 |
| Published |
|
| DOI |
10.1089/big.2022.0269 |
| Abstract |
Mass transportation networks of cities or regions are interesting and important to be studied to get a picture of the properties of a somehow better topology and system of transportation. One way to do this lies on the basis of spatial information of stations and routes. As we show however interesting findings can be gained also if one studies the abstract network topologies of these systems. To get these abstract types of networks, we have developed a tool that can extract a network of connected stops from General Transit Feed Specification feeds. As we found during the development, service providers do not follow the specification in coherent ways, so as a kind of postprocessing we have introduced virtual stations to the abstract networks that gather close stops together. We analyze the effect of these new stations on the abstract map as well. |
| Author Keywords |
GTFS data; public transport; networks; data extraction; smart city |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000974683800001 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
|