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研究生： 冉銳銳
Ririh - Rahma Ratinghayu
論文名稱： 考量車輛與顧客類別匹配下之電動機車共享系統最適定價
Electric Scooter Sharing System Optimal Pricing: Matching Fleet Class with Customer Category
指導教授： 林希偉
Shi-Woei Lin
口試委員: 王孔政
Kung-Jeng Wang
嚴娟吳
Yan-Kuen Wu
學位類別： 碩士
Master
系所名稱： 管理學院 - 工業管理系
Department of Industrial Management
論文出版年： 2016
畢業學年度： 104
語文別： 英文
論文頁數： 88
中文關鍵詞： 替代 、定價 、客戶類別 、電動摩托車共享系統 、電池電量
外文關鍵詞： Battery level, E-scooter sharing system, Customer category, Pricing, Substitution
相關次數： 點閱：411  下載：2 
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    • 汽车共享系统特别是自行车共享系统（BSS）被看作是对环境问题的可行的解方案。然而， BSS应用受到限制。为了保持环保BSS的利益，而克服这些问题，一个电动车共享系统（ ESSS ）可以是一个有前途的替代。 该研究报告的定价方法与舰队类匹配的客户类别，以优化电动车共享系统的收入。有本研究开发了两个场景。没有取代静态定价方案被开发为基本模式。它是通过对在那里的S-Class的需求论是S级车或L级车的一部分而不是相反任替代模型定价延长。这一研究解析得出的最优价格方案并评估价格的替代品所产生的收入。

    The rapid growth of Bike Sharing System in cities worldwide proves the acceptance and awareness of urban societies to adopt ecofriendly transportation. Vehicle Sharing Systems especially Bike Sharing Systems (BSS) are viewed as a promising solution for environmental problems. However, BSS has some major problems: short cycling-distance and non-flat topography, thus its application is limited. To preserve the benefit of eco-friendly BSS while overcoming these problems, an Electric Scooter Sharing System (ESSS) can be a promising alternative.
    This research studies pricing methods to optimize revenue of Electric Scooter Sharing System by matching customer categories with fleet classes. Fleets are classified into s-class vehicles and l-class vehicles based on the battery level. Customers are classified as short-distance customers and long-distance customers. The optimal revenue as well as fleet utility can be achieved by inducing customers to choose suitable vehicles according to their intended traveling distance. There are two scenario developed in this research. A static pricing scheme without substitution is developed as the basic model. It is extended by a pricing with substitution model where demand for s-class is served either by s-class vehicles or portion of l-class vehicles but not vice versa. This research analytically derives the optimal price scheme and evaluates revenue generated by the prices alternatives.

    Abstract i Acknowledgements ii Table of Contents v List of Tables vii List of Figures viii CHAPTER I Introduction 9 1.1. Background 9 1.2. Problem Statement 11 1.3. Objective 11 1.4. Scope and Limitation 12 1.5. Organization 12 CHAPTER II Literature Review 13 2.1. Vehicle Sharing System 13 2.1.1. Bike Sharing System 13 2.1.2. Electric Scooter Sharing System 14 2.2. Static Pricing 15 2.3. Deterministic Pricing for Substitution Product 16 CHAPTER III Research Methodology 18 3.1. Vehicle Sharing Mechanism 18 3.2. Electric Scooter Sharing System 19 3.3. Pricing Method 22 3.3.1. Static Pricing for Non-Substitution Product 22 3.3.2. Static Pricing for Substitution Product 26 3.4. Kuhn Tucker Optimization 27 3.5. Data Collection and Research Flow 29 3.5.1. Data Collection 29 3.5.2. Model Development and Validation 29 3.5.3. Research Flowchart 31 CHAPTER IV Static Pricing in Electric Scooter Sharing System 32 4.1. Model Scheme 32 4.2. Static Pricing Optimization Without Substitution Model 33 4.3. Optimal Price General Equation for s-class Without Vehicle s-classubstitution 38 4.3.1. Static Pricing for s-class without Vehicle s-classubstitution 38 4.3.2. Static Pricing for l-class Without Vehicle s-classubstitution 41 4.4. Case Study and Parameter Values 45 4.5. Numerical Result and Analysis 49 4.6. Current System Extension 50 4.7. Managerial Insight 51 4.7.1. Implementing ESSS to Serve Different Market 51 4.7.2. Implementing ESSS when The System is Mature 52 CHAPTER V Static Pricing with Substitution in Electric Scooter Sharing System 54 5.1. Problem Description 54 5.2. Static Pricing Optimization With Substitution Model 55 5.3. Model Formulation 56 5.4. Solving the Model 57 5.5. Optimal price for s-class and l-class Vehicle for Substitution Model 63 CHAPTER VI Conclusion and Recommendation 65 6.1. Conclusion 65 6.2. Recommendation 66 Reference 67 Appendix 69

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