Results 51 to 60 of about 558 (159)

How FDI reshapes host markets’ trade profile and politics

American Journal of Political Science, Volume 70, Issue 3, Page 1097-1114, July 2026.
Abstract A fast‐growing literature indicates that firms’ engagement in foreign direct investment (FDI) and trade is key to understanding deepening global value chains and their political implications. However, existing studies have mainly focused on the ramifications for FDI home countries while often overlooking the firm‐product level interactions ...
In Song Kim, Steven Liao, Sayumi Miyano
wiley   +1 more source

Discrete Hierarchical Memory Particle Swarm Optimization Algorithm for Dynamic Public Transport [PDF]

Jisuanji gongcheng
With the development of smart cities and transport, the continuous improvement of mobile Internet and smart transport infrastructure and data, a new transport operation method in which users order transport services on their mobile phones-dynamic ...
HUANG Junze, WU Wenyuan, LI Yi, SHI Mingquan, WANG Zhengjiang
doaj   +1 more source

Subset‐Row Inequalities and Unreachability in Path‐Based Formulations for Vehicle Routing and Scheduling Problems

Networks, Volume 87, Issue 2, Page 111-130, March 2026.
ABSTRACT This work considers branch‐price‐and‐cut algorithms for variants of the vehicle‐routing problem in which subset‐row inequalities (SRIs) are used to strengthen the linear relaxation. SRIs often help to substantially reduce the size of the branch‐and‐bound search tree.
Stefan Faldum, Timo Gschwind, Stefan Irnich   +2 more
wiley   +1 more source

Improved Approximations for Dial-a-Ride Problems

CoRR
The multi-vehicle dial-a-ride problem (mDaRP) is a fundamental vehicle routing problem with pickups and deliveries, widely applicable in ride-sharing, economics, and transportation. Given a set of $n$ locations, $h$ vehicles of identical capacity $λ$ located at various depots, and $m$ ride requests each defined by a source and a destination, the goal ...
Jingyang Zhao 0001, Mingyu Xiao 0001
openaire   +2 more sources

Mercy Consent and Contained Resistance: Grievance Systems in Chinese Food‐Delivery Platforms

New Technology, Work and Employment, Volume 41, Issue 1, Page 100-115, March 2026.
ABSTRACT Based on a multi‐methods qualitative study, this article investigates how in‐platform grievance systems operate in the Chinese food‐delivery platform work. Drawing on labour process theory, we examine the role of in‐platform grievance systems in shaping the dynamic interplay between control, consent, and resistance. Our findings reveal that in‐
Ziheng Liu, Wei Wei
wiley   +1 more source

Adaptive Protection Coordination for Microgrids Using Dual‐Setting Directional Overcurrent Relays: A Real‐Time HIL Validation Approach

IET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This research presents a robust protection coordination strategy using dual‐setting directional overcurrent relays (DS‐DOCRs) and a novel optimisation approach to address challenges in adaptive protection. A modified objective function, incorporating primary and backup relay operating times along with coordination time intervals (CTIs), is designed to ...
Oussama Merabet, Aissa Kheldoun, Aidil Azwin Zainul Abidin, Saad Mekhilef, Nima Khosravi   +4 more
wiley   +1 more source

Optimizing Patient Transport under Infection Control Constraints: A Milp-Based Dial-a-Ride Approach

Communications
With aging populations and rising healthcare demands, efficient patient transportation has become a critical challenge, particularly in the context of infection control. In this paper is presented an extended mixed-integer linear programming (MILP) model
Martin Tóth, Adrián Horváth, Tamás Hajba   +2 more
doaj   +1 more source

Dynamic Intercity Ride‐Sharing Optimisation Based on Two‐Stage Information Feedback

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
The article introduces a novel two‐stage scheduling approach for intercity dynamic ridesharing that separates the process into a coarse scheduling phase (with online and offline vehicle matching) and a fine scheduling phase that refines the solution using a large neighbourhood search algorithm. By integrating deep Q‐learning to dynamically trigger fine
Cheng Wang, Shangyu Gao, Jin Jiang
wiley   +1 more source

Extension of Biased Random-Key Genetic Algorithm With Q-Learning for Dial-a-Ride Problem

IEEE Access
With the widespread adoption of delivery services and advancements in autonomous driving technology, route optimization problems are being intensively studied.
Takuto Shimaoka, Jion Kameda, Junpei Tokunaga, Hiroyuki Ebara   +3 more
doaj   +1 more source

Pricing and Scheduling for Hybrid Demand Responsive Transit System With Mixed Services and Passenger Preference

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper studies the coordinated scheduling and management for hybrid DRT systems offering both direct door‐to‐door rides and feeder connections to mass transit, incorporating passenger mode choice behaviour to account for heterogeneous passenger preferences in a multimodal environment.
Jingxuan Ren, Wenzhou Jin
wiley   +1 more source