旅游景区停车换乘设施选址优化

Optimization of P&R facility location in tourist attractions

为解决旅游景区的交通拥堵和空气污染问题,基于游客选择偏好,构建旅游景区停车换乘(Park and Ride,P&R)设施选址优化模型,进而优化P&R设施选址和景区巡游巴士的巡游线路.模型以改善旅游景区空气污染和降低P&R系统运营成本为目标.利用大连市太阳沟景区进行实证研究,设计一个双层的遗传算法对模型进行求解.结果表明,基于游客选择行为的P&R系统能够有效地改善旅游景区的交通拥堵和空气污染问题.

In order to solve the traffic congestion and air pollution problem around tourist attractions, based on tourists ’ choice preference, an optimization model of Park and Ride （P＆R） facility location in tourist attractions is built to optimize the P＆R facility location and the cruise route of shuttle buses. The model aims to minimize the exhaust pollution and the operation cost of P＆R system. The Taiyanggou tour-ist attraction in Dalian is selected to carry out the case study, and a two-layer genetic algorithm is de-signed to solve the model. The results indicate that P＆R system based on the tourists, choice preference can efficiently alleviate the traffic congestion and air pollution problem around tourist attractions.