Leveraging technology for improving urban and regional mobility

This theme focuses on examining emerging technologies such intelligent route guidance systems, dynamic road pricing, smart parking, integrated transit fare systems, app-based shared transportation services, high-speed rail, etc., and their potential for improving passenger mobility and accessibility within and between cities. The impact of connected and autonomous vehicles in increasing safety and capacity utilization, enhancing system reliability, influencing travel behaviour, and altering location choices of households and firms will be analyzed. Innovative ways of collecting and applying big data in transportation for evidence-based planning and improved real-time operations of multi-modal systems will be explored. The role of government and public policy for better leveraging technology will be considered.

Reducing environmental impacts and enhancing resilience of transportation systems

This theme focuses on exploring ways to reduce environmental impacts of transportation while meeting or improving mobility. Research areas include: a) ways to reduce carbon footprint of transport infrastructure (e.g., roads, airports, ports, public transit systems, etc.) construction, maintenance, and operation; b) new fuel and vehicle technologies across modes, including plug-in hybrids and battery electric vehicles, that significantly reduce lifecycle emissions, and c) government actions, including pricing policies as well as mandates or restrictions, to promote supply and demand of low-carbon transportation systems. Research analyzing and suggesting improvements to the multi-modal transportation system’s preparedness for short-notice (e.g., earthquake, terrorist attack, etc.) or planned (e.g., cyclone, virus outbreak, etc.) evacuation or system management at various geographic scales, and research exploring ways to develop systems that are resilient (with respect to damages and disruptions) to both short-notice events and long-term climatic changes will be covered under this theme.

Promoting sustainable and safe urban transportation

This theme focuses on research involving strategies to promote shared (e.g., public transit, car- and ride-sharing arrangements, etc.), non-motorized/active (i.e., walking and bicycling), and low-carbon (e.g., electric vehicles) transportation in India’s megacities and high-growth regions. Strategies can range from private sector initiatives/innovations in the provision and management of sustainable transportation modes and systems, to government policies (i.e., land use planning, supply-side investments, and demand management initiatives) to influence activity-travel decisions. Methods can span across disciplines, from travel behaviour analysis using revealed preference or stated-choice surveys, to experimental approaches of evaluating the impacts of specific interventions. Issues of equitable access to jobs and other urban amenities, particularly for the transportation disadvantaged, will be addressed. Research exploring ways to make urban travel safer will also be covered under this theme. This theme is aligned with global initiatives including India’s policy priority of promoting sustainable urban development, and the creation of healthy and livable cities.

Optimizing logistics networks

This theme covers research for identifying optimal locations of facilities within a network and allocating the customer orders to each location, which is an important decision area for all retailers including e-commerce players. For last mile delivery, optimal vehicle routing and minimizing customer misses are key to business profitability. Also, during disruptions, the optimal order fulfillment policies such as the choice of the warehouse location for fulfilling a customer order with due date constraints is critical. With recent growth in electric vehicles, designing and optimizing charging network for transportation is another potential research area. Other areas of optimization include identifying optimal transportation mode, route, and time choice. The methods used in optimizing networks include integer programs, queuing theory, game theory, and simulation.

Managing terminal and warehouse operations

Managing the performance of logistics facilities such as warehouses or container terminals is critical for achieving high customer service levels. Many facilities are robotized today, and we expect more warehouses will be robotized in the future. Likewise, container terminals are undergoing automation. Performance analysis of such facilities using analytical and simulation models is a key step in the design conceptualization process. While traditional optimization and simulation methods are used to analyze decision problems in container terminals such as quay crane assignment problem, berth allocation problem, yard crane assignment problem, analytical models are also useful for long-term technology investment decisions in the terminals. Also, applications of IoT is intra-logistics will be investigated. Related research will be covered under this theme.

Sustainable urban freight and last-mile connectivity

This theme will cover research aimed at improving the efficiency and reducing the negative environmental impacts of freight activity within cities. Strategies involving technological (e.g., low-carbon or non-motorized vehicles), land use based (e.g., urban consolidation centres), analytics (e.g., optimized routing), and policy (e.g., taxes or restrictions) interventions will be evaluated. Research under this theme is significant given changes in consumer demand and preferences, and concurrent innovations in logistics and supply-chains.

Improving eco-efficiency and safety of goods transportation

In India, commercial vehicles are a dominant source of CO2 emissions. Old vehicles are not only adding to the emissions but are also causing driver attrition. While the government is implementing the vehicle scrappage policies to eliminate polluting vehicles (with age more than 15 years) from the road, the implications of the scrappage policies on vehicle demand estimation, overall CO2 emissions, and driver productivity and safety are still unknown. Moreover, electric vehicles will play a significant role to cut emissions in goods transport. Further, the location of the charging stations can also affect vehicle travel route choices. This center would conduct research on policies to improve driver safety, productivity, and retention. A project that that attempts to link driving behavior with fuel efficiency and road safety has already been initiated.

With the rapid development and popularization of mobile and communication technologies, dynamic ride-sharing platforms, as pioneers in a sharing economy context, provide on-demand shared mobility services and are disruptively changing the transportation industry. First, we study the coordination of platform demand and supply using prices and wages. We use a queueing model with endogenous supply and demand and present steady-state performance in equilibrium to determine the optimal price and wage that maximize the platform’s profit or social welfare. Second, we discuss the matching problem, in which the platforms match passengers and drivers in real-time considering multiple objectives such as platform revenue, pick-up distance, and service quality. We develop an efficient online matching policy and demonstrate its good performance through numerical experiments and implementation using real data.

Dr. Wang is an Assistant Professor in the School of Computing and Information Systems at Singapore Management University and a visiting faculty at the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. He received B.S. from Tsinghua University and Ph.D. in operations research from MIT. His research focuses on methodologies of analytics and optimization, data-driven decision-making models, machine learning algorithms, and their applications in smart cities and urban systems. He has published in leading journals such as Transportation Science, American Economic Review P&P, M&SOM, and Transportation Research Part B. He serves as the guest editor for the Special Issue on Innovative Shared Transportation in Transportation Research Part B and Special Issue on Innovation in Transportation-Enabled Urban Services in Service Science, as a reviewer for over 40 academic journals. Dr. Wang was selected as Chan&Yun Rising Star Fellow in transportation and mobility, was nominated for the Goodwin Medal, MIT’s top teaching award for graduate students, and won the Excellent Teaching award for junior faculty at SMU. During his Ph.D. studies at MIT, he also served as the co-President of the MIT Chinese Students & Scholars Association and as Chair of the MIT-China Innovation and Entrepreneurship Forum.