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Tobler's hiking function – walking speed vs. slope angle chart. Tobler's hiking function is an exponential function determining the hiking speed, taking into account the slope angle. [1] [2] [3] It was formulated by Waldo Tobler. This function was estimated from empirical data of Eduard Imhof. [4]
Pace [6] in minutes per kilometre or mile vs. slope angle resulting from Naismith's rule [7] for basal speeds of 5 and 4 km / h. [n 1]The original Naismith's rule from 1892 says that one should allow one hour per three miles on the map and an additional hour per 2000 feet of ascent.
Strides are short and quick, with pushoff coming forward from the ball of the foot, again to minimize the risk of losing contact with the ground. World-class race walkers (male and female) can average under 4 and 5 minutes per kilometre in a 20 km race walk (12 to 15 kilometers per hour or 7.5 to 9 miles per hour). [8]
In Japan, the standard measure for walking distance is 80 meters for 1 minute of walking time. It is the standard used in real estate listings. It is the standard used in real estate listings. For example, if a building is a 10-minute walk from a particular park or train station, it is 800 meters away.
Power walking is the act of walking with a speed at the upper end of the natural range for walking gait, typically 7 to 9 km/h (4.3 to 5.6 mph). To qualify as power walking as opposed to jogging or running, at least one foot must be in contact with the ground at all times.
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100 km specialist Alighiero Guglielmi, carried in triumph after his third consecutive victory in the 100 km of 1948. The 100-kilometer race walk is a racewalking event. The event is competed as a road race. Athletes must always keep in contact with the ground and the supporting leg must remain straight until the raised leg passes it.
Commonly, individuals place some value on their time. Economic theory therefore predicts that value-of-time is a key factor influencing preferred walking speed.. Levine and Norenzayan (1999) measured preferred walking speeds of urban pedestrians in 31 countries and found that walking speed is positively correlated with the country's per capita GDP and purchasing power parity, as well as with a ...