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  2. Naismith's rule - Wikipedia

    en.wikipedia.org/wiki/Naismith's_rule

    That is, 7.92 units of distance are equivalent to 1 unit of climb. For convenience an 8 to 1 rule can be used. So, for example, if a route is 20 kilometres (12 mi) with 1600 metres of climb (as is the case on leg 1 of the Bob Graham Round , Keswick to Threlkeld), the equivalent flat distance of this route is 20+(1.6×8)=32.8 kilometres (20.4 mi).

  3. Public transport accessibility level - Wikipedia

    en.wikipedia.org/wiki/Public_Transport...

    The public transport accessibility level (PTAL) is a method sometimes used in United Kingdom transport planning to assess the access level of geographical areas to public transport. PTAL is a simple, easily calculated approach that hinges on the distance from any point to the nearest public transport stop, and service frequency at those stops.

  4. Walkability - Wikipedia

    en.wikipedia.org/wiki/Walkability

    In urban planning, walkability is the accessibility of amenities by foot. [1] It is based on the idea that urban spaces should be more than just transport corridors designed for maximum vehicle throughput. Instead, it should be relatively complete livable spaces that serve a variety of uses, users, and transportation modes and reduce the need ...

  5. Random walk - Wikipedia

    en.wikipedia.org/wiki/Random_walk

    Five eight-step random walks from a central point. Some paths appear shorter than eight steps where the route has doubled back on itself. (animated version)In mathematics, a random walk, sometimes known as a drunkard's walk, is a stochastic process that describes a path that consists of a succession of random steps on some mathematical space.

  6. 10-Minute Walk - Wikipedia

    en.wikipedia.org/wiki/10-Minute_Walk

    A ten-minute walk is considered to be one-half-mile (0.80 km), which is the distance the National Park Service (NPS) and the Centers for Disease Control and Prevention (CDC) uses when they link park access and public health. [16] The first city in the U.S. to achieve a 10-Minute Walk to a park for every resident was San Francisco. [17][18]

  7. Shortest path problem - Wikipedia

    en.wikipedia.org/wiki/Shortest_path_problem

    Shortest path (A, C, E, D, F) between vertices A and F in the weighted directed graph. In graph theory, the shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights of its constituent edges is minimized.

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