Let $x,y$ be two different points in a normed space. A bisector is defined as a set $B(x,y):=\{p: ||p-x||=||p-y||\}$, i.e. points of equal distance to both $x$ and $y$ in the space.
Theorem 25 in the second paper below basically says a finite-dimensional normed vector space is euclidean if and only if all bisectors are affine subspaces.
Is there any way to generalize the theorem to vector metric spaces? Specifically, let $d(.,.): \mathbb R^n \times \mathbb R^n \to \mathbb R_+$ be a metric on $\mathbb R^n$. Is it true that: $d$ is euclidean if and only if all bisectors are linear subspaces?
paper: http://www.sciencedirect.com/science/article/pii/S0723086904800094 This paper surveyed a lot of results about the geometric properties of finite-dimensional normed spaces.
A more general question: Many of the properties in the above survey characterize a euclidean norm given that the space is a normed space. How much can we generalize those results under the assumption of a general metric space? I'm trying to look for accessible references along these lines. Any recommendations?
(originally posted in stackexchange)