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Link to original content: https://doi.org/10.1007/978-3-030-24311-1_21
Cyclable City: A Territorial Assessment Procedure for Disruptive Policy-Making on Urban Mobility | SpringerLink
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Cyclable City: A Territorial Assessment Procedure for Disruptive Policy-Making on Urban Mobility

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

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Abstract

Urban cycling is one of the main references for the development of sustainable mobility models [1]. Cycling is an active transport mode that is alternative to the use of public and private means of travel. At city scale it collects high levels of users satisfaction. Urban policies encouraging this transport mode are compared with modal split solutions that must take into account the morphological characteristics of the context as well as the organizational dimensions of urban transport. In this work, after highlighting good practices related to traffic moderation, the promotion of soft active mobility (Living street) and the widespread cycling in the urban context, we propose an intervention scenario for the development of an urban cycling infrastructure scheme that integrates current transport infrastructures (mechanized pedestrian mobility) according to a multimodal approach. The sample context is the city of Potenza (Basilicata - Italy). The focus on slow mobility is part of urban mobility strategies. The contribution described in this paper aims at the integration of mechanized pedestrian mobility and local public transport, by road and rail, with active cycle mobility. The aim is to demonstrate how the proposed scheme is feasible with respect to the steepness and integrates infrastructural solutions and reorganization of driveway mobility for widespread use of the bicycle (both traditional and the most innovative forms e-bike and pedelec).

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Fortunato, G., Scorza, F., Murgante, B. (2019). Cyclable City: A Territorial Assessment Procedure for Disruptive Policy-Making on Urban Mobility. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11624. Springer, Cham. https://doi.org/10.1007/978-3-030-24311-1_21

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