We study one-dimensional supercritical branching random walk in non-i.i.d. random environment, which considers both the branching mechanism and the step transition. This random environment is constructed using a recurrent Markov chain on finite or countable state space. Criteria of (strong) recurrence and transience are presented for this model.

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