| Following the introduction of the green travel concept,cities have implemented dedicated lanes for buses to enhance public transportation efficiency.However,with an increasing number of motor vehicles on the road,bus lanes are utilizing limited road resources and during peak hours can be unoccupied while congestion occurs in general lanes.Additionally,the carbon peak and carbon neutral policy mandates 40% new energy vehicle presence on the road,yet there is a lack of transportation strategy incentivizing the use of such vehicles.To improve bus lane efficiency and prioritize new energy vehicles,this paper suggests sharing the right-of-way between bus and new energy vehicles.This strategy promotes utilization of new energy vehicles and efficiently allocates bus lane resources by favoring dedicated segments with open rights-of-way through a network redesign of new energy and bus lanes.A two-layer planning model is proposed,whereby the upper-level component aims to reduce regional road congestion,preferably selecting road segments with shared right-of-way dedicated lanes,and communicating this sharing scheme to the lower layer that focuses on minimizing traveler travel time.A lane split traffic allocation design considers path and lane selection behavior of travelers and transmits feedback to the upper model.A genetic-ant colony algorithm solves this two-layer model.The upper model utilizes a genetic algorithm,selecting optimal genes to continue iterating the low-congestion open sharing scheme while the lower model uses ant colony optimization with innovative graph algorithms to solve feasible paths and update new energy vehicle travelable lane networks and simulate path and lane selection behavior.These results support informed decision-making surrounding the optimal new energy vehicle shared bus-only lane scheme in Beilin District of Xi’an,where the suggested scheme achieves decreased overall congestion(9.1%),average road congestion(9.9%),increased bus lane resource utilization(35.2%)compared to all off-sharing schemes,and reduced average new energy vehicle travel time(9.2%),indicating its potential to mitigate traffic congestion,improve resource efficiency,and prioritize new energy vehicles.To assess the practical feasibility and potential market impact of the sharing strategy,the paper conducted a RP(Revealed Preference)-SP(Stated Preference)survey using a logistic model,collecting data on travelers’ revealed and stated preferences for purchasing and using new energy vehicles under the sharing strategy.The results show that the probability of choosing a new energy vehicle is 2.31 times higher than that of using a fuel vehicle,demonstrating the effectiveness of the strategy in promoting the adoption of new energy vehicles. |