Since 2015, free-floating bicycle schemes have been flourishing worldwide due to their easy booking and mobile payment systems. Despite numerous publications, there remains a significant gap in understanding how app users select their bikes and how spatial barriers, such as intersections or temporary availability uncertainty (during peak times), influence their choices. In order to explore the factors

Currently, Japan is entering a phase of infrastructure improvement that requires repair of highways and bridges. However, large-scale renewal work that requires long-term road closure is rare. Therefore, this study analyzes the construction activities on the Hanshin Expressway, which involve road closures, to understand their impact on traffic conditions. Understanding the actual situation is useful

This study presents a theoretical review of the satisfaction function, the expected maximum utility or minimum disutility of travel choices, which plays an important role in the random utility theory and has wide applications in transportation system analyses. New developments in the satisfaction function of the recently developed weibit-based multiplicative random utility models are discussed and

Multiple unmanned aerial vehicles (UAVs) play a critical role in disaster response and rescue missions. This paper proposes a multi-layer based collaborative optimization (MCO) method, which consists of three stages: path preplanning, task allocation, and task scheduling. These three stages correspond to three levels that are upper level, middle level and lower level. A dynamic constrained particle

In the Internet of Things (IoT) setting, IoT platforms not only provide technology services to manufacturers but also market their store brand smart products, thus encroaching on the product market. However, existing research has not yet addressed the uncertainties inherent in IoT technology or the comprehensive impact of data value collected by smart devices on platform encroachment and manufacturers’

Ubiquitous mobile devices have catalyzed the development of vehicle crowd sensing (VCS). In particular, vehicle sensing systems show great potential in the flexible acquisition of extensive spatio-temporal urban data through built-in smart sensors under diverse sensing scenarios. However, vehicle systems like taxis often exhibit biased coverage due to the heterogeneous nature of trip requests and varying

The rapid advancement of technology has made it easier for the e-tailer’s technology adoption strategy (AI live-stream strategy) and the supplier’s direct-to-consumer sales (encroachment). We employ a game-theoretical framework to examine the strategic interplay of the e-tailer’s AI live-stream decision and the supplier’s encroachment strategy. There are many interesting findings. First, even though

At transport hubs, long taxi queues greatly degrade the passenger transfer experience, particularly at night when conventional buses and subways stop running. To address the difficulties in hailing taxis at transport hubs and improve hub transfer efficiency, we propose a combined mode referred to as the Customized Bus Plus Taxi (CBPT) service. In this mode, the customized bus (CB) transports passengers

In the rapidly expanding Q-commerce sector, which promises delivery to customers within 10––15 min, even the slightest disruption can impose substantial harm on the growth and reputation of businesses. This study examines the optimization of dark store resilient portfolio, i.e., dark store selection and protection against disruptions, alongside strategic allocation of risk mitigation inventory at the

Efficient coordination of distribution and backhauling is a critical challenge for many industries. This paper is motivated by a real-world case study at Hydro-Québec, a large-scale utility company in North America, and introduces an inventory routing problem that integrates inventory management and vehicle routing under several operational constraints. The problem involves distributing multiple commodities

Maritime transportation is vital for international trade, yet collision accidents continue to pose serious risks to navigational safety and global economic stability. This study develops a novel collision risk prediction model based on Dynamic Bayesian Networks (DBN), incorporating both geometric and causation probability approaches to realise real-time ship collision risk prediction and probabilistic