联系我们

论文查询结果	返回搜索

论文编号：	11724
作者编号：	2120182905
上传时间：	2020/6/20 5:14:25
中文题目：	考虑参与意愿的用户参与共享单车调度问题研究
英文题目：	Study on the problem of users participating in vehicle scheduling of bike-sharing system considering participation intention
指导老师：	张建勇
中文关键字：	共享单车调度；用户参与；BL模型；遗传算法；行为经济学
英文关键字：	bike-sharing rebalancing problem; user participation; BL model; genetic algorithm; Behavioral Economics
中文摘要：	共享单车为人们提供了一种新型的自行车租赁服务，可供用户在短时间内使用，并且适应当今社会绿色环保的时代要求，是绿色出行方式的典型代表之一。对于人口数量众多，通勤需求旺盛的城市来说，共享单车系统较好地弥补了现有公共交通网络的疏漏和不足，分担出行需求，缓解交通压力。但是随着用户不断使用共享单车，系统中的供需不平衡问题会愈演愈烈，用户“用车难”“停车难”，共享单车调度问题应运而生，本文的研究内容就是旨在更好地解决这一问题。 本文从过往的文献出发，探讨共享单车调度问题的实质，考虑在平台方卡车调度的基础上，加入用户参与调度，以便更好地解决系统的供需不平衡问题。本文给出了不同的奖励方式，并基于问卷调查的数据分别建立了用户参与意愿的BL模型，分析了不同因素对用户参与意愿的影响，并借助行为经济学给出相关解决方法。非月卡、以通勤为目的用户更容易受到激励参与到调度行为中。红包和当次骑行折扣卡能以相对较小的成本达到同等水平的用户参与意愿。对月卡用户而言，在不考虑奖励成本的前提下月卡购买折扣是相对最好的奖励方式。 在此基础上，本文进一步以运营商运输成本最小、奖励支出最小以及非均衡惩罚最小为目标建立了混合整数规划模型,并选择合适的混合遗传算法并嵌入贪心算法求解,为调度策略的制定提供参考和指导，包括如何安排卡车路线和装卸数量，如何分配用户调度。进一步通过数值实验的方式探讨不同的参数变化对企业总成本和调度策略的影响。同时意识到用户的参与意愿的本质是消费者选择，因此利用行为经济学的相关理论和知识进一步分析，提出在不增加奖励成本的前提下如何更好地提高用户参与意愿。
英文摘要：	Bike-sharing provides a new type of bicycle rental service for people, which can be used in a short time, and meets the requirements of green environmental protection in today's society as one of the typical green travel mode. For many cities with large population and strong commuting demand, bike-sharing system can better makes up for the omissions of the existing public transport network, and shares the travel demand, relieves traffic pressure. However, with the continuous use, the imbalance between supply and demand in the system becomes serious, makes users difficult to use and stop. The purpose of this thesis is to better solve the scheduling problem of bike-sharing. The thesis discusses the essence of the bike-sharing scheduling through previous literature, considers the scheduling by truck and users together to better solve the imbalance between supply and demand. Based on the data of the survey, the BL model of the user intention is established. The influence of different factors on the user intention is analyzed. Some solutions are given in behavioral economics. Non-monthly card and commuter users are more likely to be motivated. Red packet and ride discount can reach the same level of user intention at a relatively small cost. For monthly card users, the discount of monthly card is the best without considering the cost. On this basis, the thesis further establishes a mixed integer model aiming at the minimum transportation cost, incentive expenditure and non-equilibrium penalty, and selects hybrid genetic algorithm with greedy algorithm in it. It provides reference and guidance for the scheduling strategy, including how to arrange truck route, loading quantity, and how to allocate user scheduling. A numerical experiment is given to discuss the influence of different parameter on the total cost and scheduling strategy. We realize that the essence of user's intention to participate is consumer choice, so we use the theories and knowledge of behavioral economics to further analyze and propose how to better improve user's intention to participate without increasing the reward cost.
查看全文：	预览  下载(下载需要进行登录)