Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities

Serrano-Hernández, Adrián; Ballano, Aitor; Faulín, Javier

doi:10.3390/en14164748

Cited by 27 publications

(16 citation statements)

References 51 publications

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“…Subsequently, predicting energy consumption decisions is challenging, particularly for residential consumers. Energy practises are unpredictable because they are influenced by variables such as specific user lifestyles and other determining factors [36]. Understanding behaviours is, therefore, imperative for fostering citizen engagement in co-creating smart solutions within smart city models.…”

Section: Multi-tiered Ict System Interaction Architecture For Smart T...mentioning

confidence: 99%

“…Smart grid, Smart Meter, IOT [60] ICT, AI, Smart home, IoT [61] ICT 7 [47] Cloud technology, Edge computing technology, Fog computing, Global Positioning Systems (GPS), ICT, Internet of Things (IoT), RFID, Sensors, Smart Grid, Smart Sensors, Surveillance cameras, Unmanned Aerial Vehicles (UAV)-drones, Big Data, Smart Building, Smart Home, E-bikes [62] IBS, Big Data [63] E-bikes, Smart Traffic, Solar PV, E-deliveries, [36] 5G, Electric vehicle (EV), Internet of Things (IoT), Unmanned Aerial Vehicles (UAV)-drones, [64] Smart Transport [21] E-bikes, Email [41] Carbon footprint calculator Internet of Things (IoT) [44] Smart Grid, Solar PV [70] Smart Building, Smart Home, Zero Carbon Building (ZEB), Smart parking [71] Sensor network-soft sensing approach, Smart Grid, Smart Home, Smart Meter, Solar PV, Smart Thermal Management, Solar thermal and hydro [72] Smart Meter, Automatic meter reading (AMR) [73] Bicycle Sharing System (BSS) [74] Building Energy Management Systems (BEMS), Intelligent Transportation Systems-ITS, Smart Grid, Smart Meter, Solar PV, Zero Carbon Building (ZEB), [38] System Soft computing [67] ICT [80] ICT [81] Smart Meter 7 [35] Cloud technology, Internet of Things (IoT), Smart Grid, Smart Home, Smartphone, Smart Sensors, Solar PV, Ubiquitous computing, Wi-Fi, E-governance, Service Oriented Architecture (SOA) [82] Artificial Intelligence (AI), E-bikes, Smart Meter, E-buses, Smart devices [83] Cloud technology, Internet of Everything (IoE), Sensor, Big Data [84] Electric vehicle (EV), ICT, Smart Building, Smart Grid, Solar PV, Charging infrastructure [85] Internet of Things (IoT), Smart Home, Smartphone, Smart Sensors, Wi-Fi, Home Energy Management System (HEMS), Smart home assistance [86] Smart Grid [87] ICT, Big Data, Real-time building performance app 6 [88] Carbon footprint calculator [89] ICT [11] ICT, Smartphone, Feedback technology app [90] Smart Grid...…”

Section: [55]mentioning

confidence: 99%

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Sustainable Smart City Technologies and Their Impact on Users’ Energy Consumption Behaviour

Ramli,

Azizi,

Thurairajah

2024

Energies

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Sustainable smart cities (SSCs) target decarbonisation by optimising energy consumption through the emerging capabilities of technology. Nevertheless, the energy consumption behaviour of end users has the potential to compromise the effectiveness of technological interventions, reflecting the importance of active social engagement in realising decarbonisation goals. Although extensive research exists on energy consumption behaviour, little is known about how technology engagement affects it, the nature of these technologies, and their role in SSC. The paper aims to identify, categorise, and investigate the smart technologies that impact household energy consumption behaviours and their integration into the larger SSC system. Following a systematic review of 60 articles from the Scopus database (2013–2023), the study found 45 smart technologies cited, with 49% affecting efficiency behaviour and 51% affecting curtailment behaviour. While these technologies inform the city administration level in the SSC framework, the role of end users remains unclear, suggesting a technocratic approach. The study proposes the Sustainable Smart City Network to facilitate a grassroots approach, identifying five key domains: government policies, smart technology adoption, smart technology engagement, smart city infrastructure, and urban sustainability. The study provides an original contribution to knowledge by unveiling the key technologies affecting energy consumption behaviour and outlining the pragmatic requirements for achieving decarbonisation through a grassroots approach.

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Section: Multi-tiered Ict System Interaction Architecture For Smart T...mentioning

confidence: 99%

Section: [55]mentioning

confidence: 99%

Sustainable Smart City Technologies and Their Impact on Users’ Energy Consumption Behaviour

Ramli,

Azizi,

Thurairajah

2024

Energies

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“…The efficiency of the deployment of electric vehicles is important mainly within the last mile, where it can be combined with the use of electric freight bicycles [46] and the establishment of urban logistics or consolidation centers [47].…”

Section: Literature Reviewmentioning

confidence: 99%

Research into the Impacts of Driving Cycles and Load Weight on the Operation of a Light Commercial Electric Vehicle

et al. 2021

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The European Parliament has adopted Directive 2019/1161 on the promotion of environmentally friendly and energy-efficient road transport vehicles, which also defines the obligations and forms of support for the procurement of environmentally friendly vehicles in urban logistics. The increase in the number of shipments delivered within e-commerce, which is also the result of the COVID-19 pandemic, requires a transition to a sustainable logistics system. New research questions are being raised in the preparation of new projects for the introduction of small electric commercial vehicles in particular. One of the main research questions about deployment itself is whether light commercial electric vehicles are able to fully replace conventionally powered vehicles. What operating conditions are optimal for the operation of them? How does load weight affect the energy efficiency of operating a light commercial electric vehicle? The authors decided to carry out research into the impacts of weight and the nature of a driving cycle under laboratory conditions to eliminate all external factors that could distort individual measurements and their results. In order to simulate driving cycles, an urban driving cycle was designed on the basis of the course of speed, acceleration, deceleration and slope conditions of roads in the selected regional city of Žilina (Slovakia). In the case of the operation of an electrically powered light commercial vehicle, the impact of load weight on the range of the vehicle is low, and is below the level of the theoretical maximum range of the vehicle in urban logistics applications. The operation of electrically powered vehicles in hilly terrains with relatively longer gradients and steeper slopes increases electricity consumption and, thereby, reduces their range.

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“…Consequently, sustainability pillars are starting to be considered decision criteria in distribution processes [54]. While economic impacts can be measured through increases in operational costs, both social and environmental assessments tend to be subjective.…”

Section: The Trade-off Costs Between Sustainability Dimensionsmentioning

confidence: 99%

The Sustainability Dimensions in Intelligent Urban Transportation: A Paradigm for Smart Cities

et al. 2021

Self Cite

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The transportation sector has traditionally been considered essential for commercial activities, although nowadays, it presents clear negative impacts on the environment and can reduce social welfare. Thus, advanced optimization techniques are required to design sustainable routes with low logistic costs. Moreover, these negative impacts may be significantly increased as a consequence of the lack of synergy between the sustainability objectives. Correspondingly, the concept of transport optimization in smart cities is becoming popular in both the real world and academia when public decision making is lit by operations research models. In this paper, however, we argue that the level of urban smartness depends on its sustainability and on the level of information and communication technologies developed in the city. Therefore, the operations research models seek to achieve a higher threshold in the sustainable transport standards in smart cities. Thus, we present a generic definition of smart city, which includes the triple bottom line of sustainability, with the purpose of analyzing its effects on city performance. Finally, this work provides a consolidate study about urban freight transport problems, which show that sustainability is only one facet of the diamond of characteristics that depict a real smart city.

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Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities

Cited by 27 publications

References 51 publications

Sustainable Smart City Technologies and Their Impact on Users’ Energy Consumption Behaviour

Sustainable Smart City Technologies and Their Impact on Users’ Energy Consumption Behaviour

Research into the Impacts of Driving Cycles and Load Weight on the Operation of a Light Commercial Electric Vehicle

The Sustainability Dimensions in Intelligent Urban Transportation: A Paradigm for Smart Cities

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