Manhattan distance ($d_1(x,y)={\sum }_i|x_i-y_i|$)

The metric induced by the L1 norm gives taxicab geometry. Each difference in Cartesian coordinates contributes its absolute value independently, so an axis-aligned route with no backtracking realizes the endpoint distance.