Continuous Markov Chains: long-run time

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I'm looking for a walkthrough of how to do this problem. Thank you in advance!

Q: The best parking spot in town is known only to Uber and Lyft taxi drivers. We assume that the taxi drivers arrive to the parking spot according to a Poisson process with rate 4 per hour. Among these 60% are Uber drivers. An Uber driver stays at the parking spot for an exponential random time (in hours) with parameter 3 and a Lyft driver stays for an exponential random time with parameter 2. A driver can park at the spot only if no other taxi is parked there. What is the long-run fraction of time during which the parking spot is occupied by a Lyft driver?