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Impact of Transport Network Changes on Tourism in Protected Areas: A Case Study of Ayubia National Park, Pakistan 被引量:2
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作者 Muhammad Shaker Muhammad Adnan +2 位作者 Elke Hermans Ansar Yasar geert wets 《Journal of Transportation Technologies》 2020年第4期325-350,共26页
The inflow caused by tourists in peak seasons exerts an uncontrollable pressure on the existing infrastructure. The Ayubia National Park in Pakistan faces traffic delays and capacity restraints on the connecting roads... The inflow caused by tourists in peak seasons exerts an uncontrollable pressure on the existing infrastructure. The Ayubia National Park in Pakistan faces traffic delays and capacity restraints on the connecting roads in peak season. The study focuses on the formulation of critical strategies by deploying amendments in the transport network. The methodology contains three parts</span><span style="font-family:Verdana;">:</span><span style="font-family:Verdana;"> 1) a questionnaire was designed to inquire about several variables from the visitors</span><span style="font-family:Verdana;">;</span><span style="font-family:Verdana;">2) the</span><span style="font-family:""> </span><span style="font-family:Verdana;">second part was traffic count data collection and analysis. Based on the response collected, the impact of multiple strategies on the network was analyzed using TransCad</span><span style="font-family:Verdana;">;3) </span><span style="font-family:Verdana;">in the third part</span><span style="font-family:Verdana;">, </span><span style="font-family:Verdana;">the results obtained were shared with experts to gain their valuable opinions. It was observed that the time of the day based access restriction to heavy vehicles could lead to dropping the Volume to capacity ratio from 1.7 to 1.2. However, the experts were also of the view that network changes can enhance and improve the visitors’ experience. 展开更多
关键词 TRANSPORT Management National Park TOURISM STRATEGIES VISITORS
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智能交通系统中行为交通序列的优化与仿真 被引量:1
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作者 于岚 Davy Janssens +1 位作者 陈国青 geert wets 《清华大学学报(自然科学版)》 EI CAS CSCD 北大核心 2006年第z1期1052-1057,共6页
城市智能交通体系属于空间信息系统,致力于提高交通效率、改善交通安全等。在已知个体行为交通序列的前提下,一项有意义的工作是观察个体如何有效地统筹安排其日常生活中行为的时间规划和路径选择,这将有助于对交通状况和需求的预测。... 城市智能交通体系属于空间信息系统,致力于提高交通效率、改善交通安全等。在已知个体行为交通序列的前提下,一项有意义的工作是观察个体如何有效地统筹安排其日常生活中行为的时间规划和路径选择,这将有助于对交通状况和需求的预测。该文在增强学习的框架下对上述的行为交通序列进行了优化和仿真。实验结果表明,增强学习不仅可以获得最佳的策略,而且在个人由于一些不可预测的事件而被迫偏离原来的最优安排时,仍可以依据学习过程中积累的信息明智地逐步调整过来。 展开更多
关键词 智能交通系统 增强学习 仿真
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