Solving the last mile problem by creating DSS to manage bike sharing infrastructure development
Authors:
- Irina Makarova,
- Aleksey Boyko,
- Anton Pashkevich,
- Eduard Tsybunov
Abstract
The paper deals with the relevant problem: ensuring safety and sustainability of urban transport systems. Authors have considered existing positive world-wide experience of both infrastructure and managerial solutions. Using the city of Naberezhnye Chelny as an example, a method is proposed for improving the safety of transport systems by improving cycle structures. Proposed system is aimed at evaluating cycling infrastructure development projects, including the development or adaptation of a management system. In the system presented in the article, it is accepted that cyclist safety can be assessed using a risk coefficient. The danger degree is affected by the presence of intersections, the density and speed of the traffic flow, the bike path type, as well as its width.
- Record ID
- CUT9ad9ba524f2b45439e01dc8e3491b0b9
- Publication categories
- ; ;
- Author
- Pages
- 357-366
- Other elements of collation
- plany; tab.; wykr.; Bibliografia (na s.) - 365-366; Bibliografia (liczba pozycji) - 13; Oznaczenie streszczenia - Abstr.
- Book
- Kabashkin Igor, Igor Kabashkin Yatskiv Irina, Irina Yatskiv Prentkovskis Olegas Olegas Prentkovskis (eds.): Reliability and Statistics in Transportation and Communication : selected papers from the 20th International Conference on Reliability and Statistics in Transportation and Communication, RelStat2020, 14–17 October 2020, Riga, Latvia, Lecture Notes in Networks and Systems, no. 195, 2021, Cham, Springer, Springer, ISBN 978-3-030-68476-1 (eBook)
- Keywords in English
- decision support system, bicycle, transport infrastructure, transports safety, urban safety, last mile problem
- DOI
- DOI:10.1007/978-3-030-68476-1_33 Opening in a new tab
- URL
- https://link.springer.com/chapter/10.1007/978-3-030-68476-1_33 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT9ad9ba524f2b45439e01dc8e3491b0b9/
- URN
urn:pkr-prod:CUT9ad9ba524f2b45439e01dc8e3491b0b9
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.