TY - CHAP
T1 - Cycling for Home-to-School Travel in Palermo: A Method for Assessing the Optimal Allocation of New Cycling Infrastructure
AU - D'Orso, Gabriele
AU - Migliore, Marco
PY - 2019
Y1 - 2019
N2 - In order to reduce the number of cars on the road, one of the most incisive actions is to encourage cycling, e.g. through the introduction of bike-sharing systems. In particular, the activation of special bike-sharing programs for school students could lead students to choose this mode of transport to make their own home-school travel. The success of such initiatives is primarily linked to the presence of a continuous and functional cycle network, which can create safe routes to school. It is, therefore, necessary a cycle network design model that allows determining the optimal allocation of new cycle paths, maximizing the number of users and considering technical and economic constraints. As a case study, the city of Palermo has been chosen; in fact, the Go2School project, a bike-sharing initiative aimed at students of four high schools, has been launched in Palermo.
AB - In order to reduce the number of cars on the road, one of the most incisive actions is to encourage cycling, e.g. through the introduction of bike-sharing systems. In particular, the activation of special bike-sharing programs for school students could lead students to choose this mode of transport to make their own home-school travel. The success of such initiatives is primarily linked to the presence of a continuous and functional cycle network, which can create safe routes to school. It is, therefore, necessary a cycle network design model that allows determining the optimal allocation of new cycle paths, maximizing the number of users and considering technical and economic constraints. As a case study, the city of Palermo has been chosen; in fact, the Go2School project, a bike-sharing initiative aimed at students of four high schools, has been launched in Palermo.
UR - http://hdl.handle.net/10447/381585
UR - https://www.springer.com/series/558
M3 - Chapter
SN - 978-3-030-24295-4; 978-3-030-24296-1
T3 - LECTURE NOTES IN COMPUTER SCIENCE
SP - 217
EP - 230
BT - Computational Science and Its Applications – ICCSA 2019
19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part II
ER -