Title Đề 9 - GV.docx ✅

P A G E 1 B. insist on C. depend on D. embark on Read the passage and mark the letter A, B, C or D on your answer sheet to indicate the best answer to each of the following questions from 7 to 14. Crowd logistics — a paradigm in which deliveries are handled by a distributed network of freelance drivers and everyday commuters — is reshaping last-mile transportation. This model leverages sophisticated mobile apps and geolocation tools to assign parcels to nearby participants and enhance delivery speed. It also collects real- time tracking data on commuter availability and vehicle positioning to coordinate the process effectively. Participants, whether students or retirees, can register through a platform that verifies their identities and preferred travel routes. When a delivery task matches someone’s usual journey, the system incorporates it into their route. The platform monitors package locations during transit and detects deviations such as off-route movements or long idle periods, helping resolve incidents before they escalate. From a sustainability standpoint, crowd logistics provides multiple ecological and economic gains. It capitalizes on pre-existing travel plans, thereby limiting the need for additional transport and cutting emissions. This becomes particularly advantageous in gridlocked cities, where vehicle overpopulation exacerbates air quality and logistical inefficiencies. The model’s lean operating structure and shared workload also minimize financial overhead, allowing it to scale without compromising affordability. Behind the scenes, data analytics synthesize vast repositories of trip data to pinpoint logistical choke points, forecast regional demand fluctuations, and refine routing algorithms. While some platforms use blockchain to confirm package handovers and timestamp arrivals, others rely on cloud-based logs to track service quality and maintain accountability. These mechanisms ensure that delivery histories remain accessible, verifiable, and strategically useful.