ABSTRACT

Cycle-tourism which is a type of niche and sustainable tourism is increasingly promoted by transport and tourism agencies in recent years, but there are still few researches on the cycle-tourist route planning. This paper aims to formulate the cycle-tourist route-planning problem, in order to maximize cycle-tourists’ utility of visiting points of interest (POIs), minimize the total travel time, maximize the Bicycle Level of Service (BLOS) and minimize the number of intersections on the cycle route taken, subject to monetary and time budget, etc. A multi-objective mixed integer linear programming model is formulated to optimize the cycle-tourist route plan. The problem is solved by augmented $\in$-constraint method (AUGMECON) whereby a set of nondominated solutions are generated to address the trade-offs among multiple objectives. The proposed model can help local government and agencies promote cycle-tourism and help cycle-tourists better plan the route to satisfy their personal requirements in a sustainable transportation system.

摘要

自行车旅游作为一种小众、可持续的旅游方式，近年来越来越受到交通和旅游机构的推广，但对自行车旅游线路规划的研究还很少。本文旨在制定自行车旅游路线规划问题，以最大限度地提高自行车旅游者对景点（POI）的效用，最小化总旅行时间，最大化自行车服务水平（BLOS）和最小化自行车路线上的交叉口数量，受金钱和时间预算等因素的影响。建立多目标混合整数线性规划模型，优化自行车旅游路线规划。问题通过增强解决$\in$-约束方法（AUGMECON），由此生成一组非支配解决方案来解决多个目标之间的权衡。所提出的模型可以帮助当地政府和机构推广自行车旅游，并帮助自行车游客更好地规划路线，以满足他们在可持续交通系统中的个人需求。