Supply And Demand Management In Ride Sourcing Markets

Supply and Demand Management in Ride-Sourcing Markets offers a fundamental modeling framework for characterizing ride-sourcing markets by spelling out the complex relationships among key endogenous and exogenous variables in the markets. This book establishes several economic models that can approximate matching frictions between drivers and passengers, describes the equilibrium state of ride-sourcing markets, and more. Based on these models, the book develops an optimum strategy (in terms of trip fare, wage and/or matching) that maximizes platform profit. While the best social optimum solution (for maximizing the social welfare) is generally unsustainable, this book provides options governments can use to encourage second-best solutions. In addition, the book's authors establish models to analyze ride-pooling services, with traffic congestion externalities incorporated into models to see how both new platforms and government designs can optimize operating strategies in response to the level of traffic congestion.

Supply and Demand Management in Ride-Sourcing Markets offers a fundamental modeling framework for characterizing ride-sourcing markets by spelling out the complex relationships among key endogenous and exogenous variables in the markets. This book establishes several economic models that can approximate matching frictions between drivers and passengers, describes the equilibrium state of ride-sourcing markets, and more. Based on these models, the book develops an optimum strategy (in terms of trip fare, wage and/or matching) that maximizes platform profit. While the best social optimum solution (for maximizing the social welfare) is generally unsustainable, this book provides options governments can use to encourage second-best solutions. In addition, the book's authors establish models to analyze ride-pooling services, with traffic congestion externalities incorporated into models to see how both new platforms and government designs can optimize operating strategies in response to the level of traffic congestion. Serves as a foundation for subsequent research studies that investigate ride-sourcing services through mathematical modeling Offers valuable managerial insights for ride-sourcing platforms and helps them develop more efficient and effective operating strategies Assists the governments or social planners in designing appropriate regulatory schemes to achieve more sustainable and societally beneficial market outcomes

In ride-hailing markets, the spatial mismatch between supply and demand characterizes one of the most fundamental operational bottlenecks. The voluntary customer search of drivers is oftentimes inadequate for narrowing the demand-supply gaps and falls short in responding timely to the dynamic market conditions. To facilitate better supply management, some ride-sourcing platforms now adopt a dual-sourcing strategy by converting some freelance drivers as contractors, who would then follow platforms' guidance on repositioning movements when idle. This paper thus aims to analyze the implications of such a dual-sourcing strategy on the overall operations of ride-haling services. We consider a monopolistic platform that owns a blended workforce, with freelance drivers searching customers following their own preferences whilst contracted drivers repositioning in a centralized manner as system actuators. A mixed equilibrium model is devised to capture the interplay between the idle repositioning movements of both parties, and real-world data is invited to quantify the impacts of dual sourcing on various market sectors. Our numerical results confirm the effectiveness of dual sourcing in smoothing the operations, increasing the customer demand, and driving up the revenue of ride-hailing services. However, the benefit of dual sourcing to the platform remains sensitive to the proportion of contractors in the entire workforce as well as the stimulative commission beyond their regular service income.

The scope of the conference includes topics on Theory and Principle of Service Sciences Service System Design, Operations, and Management, Supply Chain Management for Service, Specific Industrial Service Management, Service Marketing and Financial Management, Electronic business new models and strategies, Data analytics and service management

It is data that guides the path of applications, and Big Data technologies are enabling new paths which can deal with information in a reasonable time to arrive at an approximate solution, rather than a more exact result in an unacceptably long time. This can be particularly important when dealing with an urgent issue such as that of the COVID-19 pandemic. This book presents the proceedings of two conferences: MMBD 2021 and MLIS 2021. The MMBD conference deals with two main subjects; those of Big Data and Modern Management. The MLIS conference aims to provide a platform for knowledge exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems. Both conferences were originally scheduled to be held from 8-11 November 2021, in Quanzhou, China and Xiamen, China respectively. Both conferences were ultimately held fully online on the same dates, hosted by Huaqiao University in Quanzhou and Xiamen respectively. The book is in two parts, and contains a total of 78 papers (54 from MMBD2021 and 24 from MLIS2021) selected after rigorous review from a total of some 300 submissions. The reviewers bore in mind the breadth and depth of the research topics that fall within the scope of MMBD and MLIS, and selected the 78 most promising and FAIA mainstream-relevant contributions for inclusion in this two-part volume. All the papers present original ideas or results of general significance supported by clear reasoning, compelling evidence and rigorous methods.

This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. This book bridges the gap between traffic big data, statistical analysis models, and mobility pattern analysis with a systematic investigation of traffic big data’s impact on mobility patterns and urban planning.

Global supply chain decision-makers and practitioners are about to face brutally tough new challenges. They will be called upon to manage supply and demand in a world marked by demographic and economic shifts that will turn their supply and demand markets upside down. They will have to secure crucial supplies in an era when resources are severely constrained. Now, three pioneering supply chain leaders fully illuminate these game-changing challenges, offering a complete decision framework and practical tools, insights, and guidance for systematically mitigating new risks and building long-term supply chain-based competitive advantage. Global Macro Trends and Their Impact on Supply Chain Management is the first book to focus squarely on emerging societal, technological, geopolitical, and environmental macro trends that will powerfully impact every supply chain. Authors Chad W. Autry, Thomas J. Goldsby, and John E. Bell walk you through assessing the impacts of population growth, migration, urbanization; socioeconomic change, global connectivity, environmental issues, and geopolitics. They review new challenges associated with increased global demand, growing scarcity, transportation congestion, aging infrastructure, and emerging supply-demand imbalances. Next, they provide comprehensive mitigation strategies based on logistics, resource recovery, resource protection, demand and supply shaping, and other techniques. This book will be an indispensable resource for all supply chain, logistics, sourcing, and operations management executives, managers, and professionals; for operations research professionals and graduate students; and for others working in these fields in industry, government, and the military.