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      Cycling Master Plans in Italy: The I-BIM Feasibility Tool for Cost and Safety Assessments

      , , ,
      Sustainability
      MDPI AG

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          Abstract

          Interest towards urban micromobility has been growing lately, and it will now increase further due to the measures used against COVID-19. It is recommended to avoid close contact to prevent contagion. Municipalities have been called to implement wider cycling networks so that people may go to their work place by cycling rather than by using public transport. This paper focused on cycling path design using an infrastructure-building information model (I-BIM). The issue covered was how to connect cost and safety requirements in the first steps of the project. We set a methodology that gives, after identifying the intervention area and defining the available economic resources, the key elements needed to design possible cycle path solutions. It guides the designer step-by-step, starting from basic assumptions related to a cycle path’s location (urban/non-urban), budget (by range), and safety (according to Bicycle Compatibility Index BCI and Bicycle Level of Service (BLOS) index), up to the definition of preferred options in terms of materials to be selected. As a case study, we implemented this methodology in the old city center of Catania in Sicily (Italy), designing a cycle path that connects the city center with the existing cycle path on the coast, while aligning with safety requirements within budget constraints.

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          Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics

          In December 2019, a new virus (initially called ‘Novel Coronavirus 2019-nCoV’ and later renamed to SARS-CoV-2) causing severe acute respiratory syndrome (coronavirus disease COVID-19) emerged in Wuhan, Hubei Province, China, and rapidly spread to other parts of China and other countries around the world, despite China’s massive efforts to contain the disease within Hubei. As with the original SARS-CoV epidemic of 2002/2003 and with seasonal influenza, geographic information systems and methods, including, among other application possibilities, online real-or near-real-time mapping of disease cases and of social media reactions to disease spread, predictive risk mapping using population travel data, and tracing and mapping super-spreader trajectories and contacts across space and time, are proving indispensable for timely and effective epidemic monitoring and response. This paper offers pointers to, and describes, a range of practical online/mobile GIS and mapping dashboards and applications for tracking the 2019/2020 coronavirus epidemic and associated events as they unfold around the world. Some of these dashboards and applications are receiving data updates in near-real-time (at the time of writing), and one of them is meant for individual users (in China) to check if the app user has had any close contact with a person confirmed or suspected to have been infected with SARS-CoV-2 in the recent past. We also discuss additional ways GIS can support the fight against infectious disease outbreaks and epidemics.
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            Mining bicycle sharing data for generating insights into sustainable transport systems

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              Mobility as a service (MaaS): Charting a future context

                Author and article information

                Journal
                SUSTDE
                Sustainability
                Sustainability
                MDPI AG
                2071-1050
                June 2020
                June 09 2020
                : 12
                : 11
                : 4723
                Article
                10.3390/su12114723
                7ee21231-b560-464a-ae2c-7ff25300c5ef
                © 2020

                https://creativecommons.org/licenses/by/4.0/

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