"network accessibility" is correct and usable in written English.
It is used to refer to both the technical capability of a computer network to be accessed by users via the internet, as well as the degree to which the resources of a network can be freely accessed by its users. For example, "Our company is dedicated to providing expansive network accessibility, so that all users can easily access the resources they need."
Values for public transport network accessibility for the population with no access to a private vehicle were always greater than night-time values for the entire population.
With increasing network accessibility and bandwidth in various environments, it makes many network servers highly accessible to thin mobile clients.
Western Digital's shared 500 gigabyte MyBook World Edition drive costs only $20 more than its 500 gigabyte counterpart that has no network accessibility.
Consequently, models often focus on tribal relationships and road network accessibility to link locations [24].
The reduction ratio of network accessibility before and after incidents is calculated to measure the potential consequences.
7. Test your network to see if you still have connectivity by pulling up a browser or checking network accessibility.
Papadaskalopoulos et al. [18], trying to give a further spatial dimension to the impact of transport networks (in terms of development of the areas and the creation of spatial development modules due to the structure and operation of networks) took into account, along with the number of networks, accessibility and network nodes the spatial structure of residences.
In an intermodal traffic network, travelers' accessibility measure highly depends on the traffic flow condition, park-and-ride facility, and transit schedule.
A walkability score (based on betweenness / centrality scores derived from street network and accessibility scores derived from landuse) for each street segment was measured via GIS and its extension Spatial Design Network Analysis (SDNA).
Factors reported in both qualitative and quantitative studies concerned: migration, culture, position in the host country, social network and accessibility of prenatal care.
Most of the existing computational approaches predict the pathogenic effect using statistical methods, machine learning techniques, or protein evolution models, based on features such as sequence homology, biochemical properties, and structural information (hydrogen-bond network, solvent accessibility, and so on).
