Providing curb availability information to delivery drivers reduces cruising for parking

Chiara, Giacomo Dalla; Krutein, Klaas Fiete; Ranjbari, Andisheh; Goodchild, Anne

doi:10.1038/s41598-022-23987-z

Cited by 14 publications

(6 citation statements)

References 30 publications

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“…The school roads are generally urban, with low vehicle speeds, and as TF increases, vehicle delay and queue length rise significantly and average speed drop or remain low. Research has shown that on-street parking, while mitigating the effects of insufficient off-street parking, has a significant impact on dynamic urban traffic [25,26]. And variations in NPS (parking area length) and ST are contributing to this effect [27,28].…”

Section: Resultsmentioning

confidence: 99%

Simulation analysis of school road traffic characteristics

Liu,

Deng,

et al. 2024

DYNA

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This study aims to identify key factors and sensitive intervals affect the school road traffic characteristics. We collect traffic data from the parking area and the school road (400-700 meters). The simulation is calibrated to ensure the error of outputs are within 1.5%. A sensitivity analysis method is proposed, it makes the multifactor comparable. The sensitivity factors of vehicle delay, queue length, and average speed are 1.44, 2.03, and 0.28 in school road, and the bottleneck road are 3.07, 4.44, and 0.65. The traffic indicators change more concentrated in bottleneck road but greater in school road. 6 scenarios are created to analyze school road traffic characteristics. Traffic flow (TF), number of parking spaces (NPS), and stopping time (ST) are selected as variables. Scenarios 1-3 are univariate, and scenarios 4-6 are bivariate. TF is the key factor with a sensitivity interval of [1300,1700].

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Section: Resultsmentioning

confidence: 99%

Simulation analysis of school road traffic characteristics

Liu,

Deng,

et al. 2024

DYNA

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“…In [50], two scenarios were examined, one with only trucks and the other with trucks including the use of hubs, with different demand and dwell times. In the alternative scenario, consolidated loads were transported by truck to the hub and a predefined fleet of bicycles performed last-mile delivery.…”

Section: Fleet Electrificationmentioning

confidence: 99%

Assessing the Opportunity Offered by Electric Vehicles in Performing Service Trips to End Consumers

Comi,

Polimeni,

Belcore

et al. 2024

Applied Sciences

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This paper proposes the assessment of the impacts of using electric vehicles for urban service trips. In particular, the focus is on trips performed for delivering and installing products, as well as for reverse logistics. Such components of commercial traffic in urban areas have not received the level of attention it deserves. In fact, recent research on commercial traffic mainly deals with shop restocking, service visits to establishments and e-commerce deliveries, and limited attention has been paid to the service sector (e.g., installation, maintenance, repairs) which can have a high impact on city sustainability in terms of pollution emissions, congestion as well as land use for parking. Furthermore, pushed by the current trend towards the promotion of electric vehicles, an assessment is developed comparing potential service patterns using real data from the inner area of Rome (Italy) when the electric fleet replaces the traditional one. Results show the opportunity to decouple the delivery operation from the installation one, and to integrate service with reverse logistics. These significant results could address the adoption of suitable integrated urban policies to make the most of the opportunities arising from the use of electric vehicles.

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“…The first involves enhancing the visibility of urban resources to accurately represent both supply and demand. This not only implies the visibility of urban and logistics resources but also calls for a clear understanding of their connections and interdependencies [5]. As a response to this challenge, logistics digitalization as well as the Smart Cities paradigm provide innovative solutions via technologies such as the Internet of Things (IoT) and Information Communication Technologies (ICT), which capture and transmit real-time states through a network of devices, thereby enhancing the visibility of their states and interconnections.…”

Section: Introductionmentioning

confidence: 99%

Smart City Logistics Enabled by Digital Twins and Semantic Technologies

Liu,

Pan,

Folz

et al. 2024

Studies in Computational Intelligence

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This research explores sustainable city logistics, emphasizing the hurdles associated with scarce urban resources, including their under-and misutilization due to a lack of real-time information on the available infrastructure and intense competition between companies. To face these challenges, there is a crucial need to improve the visibility of urban resources and logistics assets, as an enabler of effective and efficient resource allocation and orchestration of resource utilization and logistics operations. The advent of Smart Cities provides innovation opportunities, leading to the concept of Smart City Logistics (SCL). SCL will offer dual benefits: firstly, it improves resource visibility by profiting from the various fundamental technologies of Smart Cities, i.e., IoT and ICT, to collect and transfer the data of the ever-changing state of resources. Second, enhanced by Digital Twins, the real-time objects' states can be synchronized and mirrored, which will support the decision-making in SCL to guide the allocation of urban resources to provide energy-efficient, cost-effective logistics services dynamically and responsively. This research primarily focuses on SCL's conceptualization and modeling, while discussing potential future advancements.

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Providing curb availability information to delivery drivers reduces cruising for parking

Cited by 14 publications

References 30 publications

Simulation analysis of school road traffic characteristics

Simulation analysis of school road traffic characteristics

Assessing the Opportunity Offered by Electric Vehicles in Performing Service Trips to End Consumers

Smart City Logistics Enabled by Digital Twins and Semantic Technologies

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