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The model also considers a mobility infrastructure of hub facilities.
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For instance, a public transport system of poor quality implies a low usage; a lack of sustainable mobility infrastructure and options offered (e.g., cycle lanes, sharing schemes or mobility plans) results in "car-addiction" [3]; or shifting shopping facilities out of the city triggers car travel and the economic dying of city centres.
Aiming to provide a transparent and efficient mobility infrastructure for the mHealth field we designed and developed a context-aware IPv6 flow mobility management scheme for Android focusing on mobile patient monitoring and tele-consultation use-cases in a multi-sensor environment.
Overall, there is an expansion of sustainable mobility infrastructure and the upscaling of mobility-related social innovations to address social exclusion [53].
What's clear is that local governments in China and the country's state-owned enterprises see promise in new mobility infrastructure investment — and look at hyperloop technologies and their offshoots as a potentially more attractive investment option than other infrastructure developments that the government might view as more of a boondoggle.
Consequently, public policies aiming at a shift towards more sustainable transport modes should not be directed exclusively towards the material conditions of mobility (infrastructure, rolling stock, transport technologies), but also towards the development of complex value added transport services in the more sustainable modes.
The implementation of such policies contributing to the improvement and quality of public transport (e.g., network, infrastructure and vehicles), sustainable mobility infrastructure (e.g., more and safer bicycle lanes and pavements) and options offered (e.g., attractive and affordable car/bike sharing/pooling schemes) can lead to substantial decreases in GHG emissions.
Such reductions in car numbers would dramatically lower the cost of our mobility infrastructure and the embodied energy associated with building and maintaining it.
The Global Epidemic and Mobility model is based on a metapopulation scheme [4], [8], [9], [14] [20] in which the world is divided into geographical regions defining a subpopulation network where connections among subpopulations represent the individual fluxes due to the transportation and mobility infrastructure.
The Global Epidemic and Mobility (GLEaM) model is based on a metapopulation approach [ 15- 21] in which the world is divided into geographical regions defining a subpopulation network where connections among subpopulations represent the individual fluxes due to the transportation and mobility infrastructure [ 24, 25].
The integration of short- and long-range mobility infrastructures, and detailed demographic data with a seasonality scaling that impacts geographic areas differently, allowed for a fine-grained description of the epidemic.
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