Many manufacturers selling through online retail platforms are deploying physical showrooms to facilitate consumers’ learning about their products. To uncover the effects of the manufacturer-deployed showrooms on participants in a platform-based distribution channel, we establish a game-theoretic model wherein a manufacturer sells through an online retailer under either agency selling or wholesale

More and more consumers have an awareness of environmental protection, and platforms and manufacturers invest in eco-friendly operating and manufacturing to stimulate demand and fulfill their social responsibilities. Our paper investigates whether the platform should share her private demand information with two manufacturers in the reselling or agency selling. The manufacturers offer consumers two

The advent of autonomous vehicles (AVs) with self-parking capability puts forward new requirements for parking policy and management. In a transportation system with both general and dedicated AV lanes, this work aims to examine and compare the effectiveness of different parking policies on the morning commute. To be specific, three policies of parking space allocation, namely, first-come-first-service

This study introduces the novel concept of local detouredness, i.e. detours on subsections of a route, as a new phenomenon for understanding and modelling route choice. Traditionally, Stochastic User Equilibrium (SUE) traffic assignment models have been concerned with judging the attractiveness of a route by its total route cost. However, through empirical analysis we show that considering solely the

For Mobility-on-Demand systems, the imbalance between vehicle supply and demand is a long-standing challenge, leading to losses of orders and long waiting times. Relocating idle vehicles to high-demand regions can enhance system efficiency, thus improving the quality of service. Enforcing vehicle relocation via either link-node or grid-based representation makes it hard to capture the interrelated

Numerous studies have compared machine learning (ML) and discrete choice models (DCMs) in predicting travel demand. However, these studies often lack generalizability as they compare models deterministically without considering contextual variations. To address this limitation, our study develops an empirical benchmark by designing a tournament model to learn the intrinsic predictive values of ML and

The emergence of generative AI presents numerous potential solutions to address challenges in sustainable supply chain management (SCM). However, not all firms can effectively master the methods of using generative AI and realize potential benefits. To address this dilemma, we adopt a practice-based view (PBV) to examine generative AI usage’s effect on sustainable supply chain performance (SSCP). Analyzing

The topic of net-zero shipping is emerging as a global priority. Given the projected increase in the shipping sector’s contributions to climate change, understanding the emerging research challenges for enabling net-zero shipping is critical. We address this research need by outlining key techno-economic and policy research priorities for achieving effective and equitable net-zero shipping. We use

The rapid expansion of express delivery volume necessitates the development of logistics centers and the optimization of parcel transportation routes between cities within an extensive express transportation network. This study addresses the intercity express transportation network optimization problem (IETNP), which integrates the hub location problem with the multi-commodity flow problem. An integer

This paper aims to study and address the problem of completely re-scheduling high-speed freight train line plans under the conditions of a large-scale network, particularly for direct freight trains between central network nodes. First, we constructed a line pool of candidate trains. Then, considering constraints such as flow balance, station capacity, and train transport capacity, we formulated an

An extension of the Share-a-Ride Problem is proposed, which explores the coordination of ride-hailing vehicles (RVs) and logistic vehicles (LVs) for integrated passenger and parcel service. The goal is to investigate the extent to which RVs can increase profits and logistic companies can reduce operational costs, via information sharing and vehicle coordination. A new optimization problem, termed the

In traditional traffic equilibrium models, travelers typically rely on link flow information to estimate link/route costs. However, an often-overlooked aspect in prior research is that travelers can easily acquire information about the route choices of other travelers within the same OD pair. The presentation of route flow information, combined with the influence of travelers’ herd behavior, results

Vehicle-based mobile sensing, also known as drive-by sensing, efficiently surveys urban environments at low costs by leveraging the mobility of urban vehicles. While recent studies have focused on drive-by sensing for fleets of a single type, our work explores the sensing power and cost-effectiveness of a mixed fleet that consists of vehicles with distinct and complementary mobility patterns. We formulate

Electric aircraft represent a major technological breakthrough with a promise of revolutionizing aviation systems towards more sustainable and accessible services. Prominent electric aircraft prototypes feature limited seating capacity and short ranges, which make them well-suited for efficiently operating thin routes—particularly, regional routes serving remote regions—in the near future. To capitalize

South Korea, an island-like nation divided by the demilitarized zone within the Korean Peninsula, facilitates cargo transportation for Central Asia through a sea-rail combined transportation system (SRTS) between Korea, China, and Russia. This system effectively utilizes the China Railway Express and the -Siberian railway. The objectives of this research are three-fold: first, to scrutinize the research

The multi-tote storage and retrieval (MTSR) autonomous mobile robot (AMR) systems are increasingly prominent in e-commerce and third-party logistics. These systems feature robots capable of handling multiple totes per tour. The operational decisions of order fulfillment in MTSR AMR systems include assigning and sequencing orders and totes at various workstations and scheduling robots. The intricate

With the growing demand for high-quality mobility services, transportation service providers need to offer transit services that not only fulfill passengers’ basic travel needs but also ensure an appealing quality of service. During rush hours, fleet sizes are often insufficient to cater to all passenger preferences on service quality, such as ride time and number of co-riders, leading to the sacrifice