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with the rapid growth of ride-hailing platforms, drivers have raised concerns about the platform’s commission rate and their compensation not aligning with their service efforts. in this paper, we investigate the impact of drivers’ fairness concerns on operational decisions within ride-hailing services. specifically, we focus on two types of fairness issues: vertical fairness, which concerns the profit

in response to the trend of quiet luxury and the proliferation of counterfeits, luxury brands must reconsider their branding strategies, deciding between loud and quiet branding. given the high demand uncertainty for luxury products, luxury brand operations face high risk and it remains unclear how risk attitude of the luxury brand shapes the optimal branding strategy. in this paper, we develop game-theoretical

cooperation is a ubiquitous phenomenon in many natural, social, and engineered systems with multiple agents. understanding the formation of cooperation in mixed traffic is of theoretical interest in its own right, and could also benefit the design and operations of future automated and mixed-autonomy transportation systems. however, how cooperativeness of driving agents can be defined and identified

this study explores the manufacturer’s distribution channels (dc) selection and blockchain technology (bct) adoption strategies in a platform-based supply chain, considering consumer salient thinking. it examines the interplay between these strategies and their effects on pricing decisions, demand, and profits for supply chain members. it also identifies the conditions under which bct adoption and

the rapid growth of e-commerce has led to increased logistics volumes and widespread use of disposable parcel boxes, raising significant environmental concerns. in response, reusable bags have emerged as a sustainable packaging alternative. however, their benefits can be fully realized only through efficient collection operations. this study proposes a mathematical model for last-mile delivery route

intensive interactions among vehicles often lead to congestion and accidents, particularly at freeway merging sections. as connected automated vehicles (cavs) become a reality, their collaborative driving offers a promising solution. however, the real-time scheduling and trajectory planning for multiple cav streams remain challenging and are not adequately addressed in the existing literature. to this

port state control (psc) is a critical safeguard for maritime safety. the port states are facing heavy inspection workloads, but the limited manpower cannot handle the growing number of inspections. prioritizing inspections of ships with the highest risk can effectively improve psc efficiency, making ship risk prediction crucial. the psc data includes inspection records of ships over time, constitutes

coordinated traffic signals seek to provide uninterrupted vehicular flow through a series of closely spaced intersections, typically using pre-defined fixed signal timings and offsets. however, coordination is typically not possible when using adaptive traffic signals that dynamically change signal timings based on observed traffic conditions, particularly in decentralized systems where these decisions

this study contributes to sustainable transportation modeling by proposing a user-centric approach to incentivize eco-routing travel behavior. we propose a novel reward credit scheme to provide path-based commuter incentives with the goal of reducing co2 emissions and the total system travel time. the scheme takes into account multiple classes of commuters in the network that differ by their value

as the bottleneck in the container port transformed from the seaside to the yard area, the optimizing for yard space allocation has become increasingly essential for increasing production and operational efficiency. however, challenges such as resource limitations and the heterogeneous multi-period of arriving services make it difficult for traditional fixed template-based strategy to meet the dynamic

the last decades have witnessed the rise of electric vehicle (ev) sales, accompanied by a growing demand for readily accessible public ev charging facilities. unlike refueling a fossil fuel vehicle, charging an ev requires significantly more time, which may lead to congestion if the public charging infrastructure is not well-designed. in this paper, we study the strategic planning of public ev charging

the rapid expansion of bike-sharing systems has significantly enhanced travel convenience and the sustainability of urban development. in addition to man-powered bikes, transport solutions are further enriched with the introduction of electric bicycles (e-bikes) to the existing bike-sharing system to cater to diverse needs. however, managing such a bike-sharing system with both man-powered bikes and

under the background of sustainable logistics development, this study investigates an integrated optimization problem involving freight transportation in metro-based underground logistics systems (m−ulss), which consists of a comprehensive decision set on transport pricing, capacity arrangement, and freight flow assignment. the optimization problem is formulated as an integer programming model to maximise

many platforms involved in the contract farming supply chain (cfsc) are planning to implement blockchain to improve customer trust in agricultural product quality and offer financing services to support agricultural production. however, blockchain cannot fully ensure trust, as some data may not be effectively uploaded onto it, and inevitable risks, such as climate changes and natural disasters in the

this paper investigates a realistic version of the vehicle routing problem with delivery options (vrpdo) in the context of last-mile logistics management. the problem aims to optimize vehicle routing while considering alternative customer (request) delivery options and service levels for the last-mile delivery. the shared delivery locations can serve multiple requests simultaneously, but the chosen

shared mobility systems encompass a wide range of decisions, from real-time operations to strategic long-term planning, all influenced by inherent uncertainties. this review categorizes these uncertainties into four primary types: demand, supply, behavioral, and operational environment, and examines their unique impacts on strategic, tactical, and operational decision-making processes. we review traditional

in industry 5.0 era, the internet of things (iot) empowers manufacturers to capture real-time consumer preference data, which can be shared with upstream suppliers to promote flexible quality improvement in critical components. this paper considers a supply chain where a downstream manufacturer (he) determines whether to deploy iot for collecting consumer preference data and then decides whether to

china’s export supply chain is subject to a dual carbon policy of foreign carbon border adjustment mechanism and domestic cap-and-trade. how to determine the optimal remanufacturing strategy to maximize utility, meet carbon emission requirements, increase remanufacturing proportion under the dual carbon policy are the real issues the power battery supply chain faces. this study examines the uncertain

the rise of online healthcare channels alongside traditional offline systems has gained global momentum, leading to two key modes: the competitive online channel, where independent providers compete with offline hospitals, and the collaborative online channel, where hospitals create their own online services. despite this growth, the impact of online channels on dual-channel healthcare service supply

coastal communities face distinct challenges in disaster response and crisis management, shaped by their unique geographical and demographic characteristics. this study departs from traditional emergency evacuation ideas by highlighting the use of automatic identification system (ais) ship tracking data to improve evacuation planning for coastal populations. there remains a limited understanding of

cooperative intelligent transport systems (c-its) involve a complex network of diverse components that communicate with each other and with their environment. these systems are essential for improving transport efficiency, enabling smoother movement of people and goods, and supporting economic growth. however, due to their highly connected nature, c-its face major challenges related to cybersecurity

we develop an analytical model analyzing the competition between a high co2 emission flight and a low co2 emission flight. the results show that the high operating cost associated with a high co2 emission flight will be passed through to passengers in higher airfare. however, the demand shift among environmentally conscious passengers favoring a low co2 emission flight would yield price premium for

with the growing demand for personalized logistics services, the combined use of drones and trucks as collaborative delivery services has become increasingly crucial for improving service levels. a key challenge lies in the rational allocation of limited logistics resources to enhance customer satisfaction. to address this challenge, this study proposes a novel multi-objective optimization model for

in the rapidly evolving landscape of live-streaming e-commerce, it is common for a brand to use a key opinion leader (kol) to conduct live product promotions on a live-streaming platform. additionally, the brand will establish a brand-based live-streaming channel on the platform. confronted with the two live-streaming forms, the platform adopts diverse traffic support strategies, resulting in a range

real-time vehicle location estimation is essential for diverse transportation applications, such as travel time estimation, arrival pattern estimation, and adaptive signal control. existing connected vehicle-based studies rely on either black-box neural networks requiring large training datasets or computationally intensive time-continuous movement simulations grounded in car-following models. however

the construction of a well-coordinated metro-bus bimodal system may benefit not only passengers performing bimodal trips but also passengers using each individual transit mode. with this aim, this paper focuses on jointly designing a bus network and determining the frequency of bus lines to ensure coordinated operation with an existing metro system. in particular, rather than implementing a single

this study develops a two‑stage, game‑theoretic model to analyse how payment term and liquidity risks affect small and medium‑sized enterprises (smes) in supply chain finance (scf). the model simulates a purchase order financing (pof) setting in which suppliers face uncertain payment delays and liquidity constraints, which we model using exponential and poisson distributions, respectively. building