Smart City Logistics on Cloud Computing Model

Nowicka, Katarzyna

doi:10.1016/j.sbspro.2014.10.025

Cited by 88 publications

(42 citation statements)

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“…(a) city logistics: the improvement of the logistics of cities by efficiently integrating business needs with traffic conditions and geographical and environmental issues [28] [53,54] Although there are more classifications, the one presented above is one of the most complete in terms of domains and subdomains where a SC may be able to provide services. Given the great diversity of existing services, which is increased by the evolution of technology almost every day, the proposed architecture must be used as a basis for deploying new services, capable of supporting the heterogeneous set of technological solutions.…”

Section: Smart City Architecture Conceptualizationmentioning

confidence: 99%

Tendencies of Technologies and Platforms in Smart Cities: A State‐of‐the‐Art Review

Chamoso

González‐Briones

Rodrı́guez

et al. 2018

Wireless Communications and Mobile Computing

172

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Technology is starting to play a key role in cities’ urban sustainability plans. This is because new technologies can provide them with robust solutions that are of benefit to citizens. Cities aim to incorporate smart systems in their industrial, infrastructural, educational, and social activities. A Smart City is managed with intelligent technologies which allow improving the quality of the services offered to citizens and make all processes more efficient. However, the Smart City concept is fairly recent. The ideas that it encompasses have not yet been consolidated due to the large number of fields and technologies that fit under this concept. All of this led to confusion about the definition of a Smart City and this is evident in the literature. This article explores the literature that addresses the topic of Smart Cities; a comprehensive analysis of the concept and existing platforms is performed. We gain a clear understanding of the services that a Smart City must provide, the technology it should employ for the development of these services, and the scope that this concept covers. Moreover, the shortcomings and needs of Smart Cities are identified and a model for designing a Smart City architecture is proposed. In addition, three case studies have been proposed: the first is a simulator to study the implementation of various services and technologies, the second case study to manage incidents that occur in a Smart City, and the third case study to monitor the deployment of large-scale sensors in a Smart City.

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Section: Smart City Architecture Conceptualizationmentioning

confidence: 99%

Tendencies of Technologies and Platforms in Smart Cities: A State‐of‐the‐Art Review

Chamoso

González‐Briones

Rodrı́guez

et al. 2018

Wireless Communications and Mobile Computing

172

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“…Rodrigue believes that green logistics can be used as a supply chain management method, which can reduce the environmental risk of logistics and distribution activities [2] . Katarzyna argues that the operation of low-carbon logistics must be scientifically sustainable and can be carried out from three dimensions: environment, society and economy [3] . Dai is the first to put the concept of low-carbon economy into the logistics.…”

Section: Definition Of Low-carbon Logisticsmentioning

confidence: 99%

Overview of Low Carbon Logistics Development in China and Foreign Countries

Cheng

Zhang

2017

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. High energy consumption is a major feature of the logistics industry. Under the current low-carbon development requirements, the low carbon development of logistics is bound to be a new direction, and more scholars will turn their attention to low-carbon logistics. This paper presents a detailed introduction to low-carbon logistics from four aspects: the definition of low-carbon logistics, the influencing factors and Countermeasures of development, and the evaluation of carbon emission efficiency. IntroductionIn January 2017, the state council issued the "13th five-year plan for energy conservation and emission reduction", and made clear the goal of energy conservation and emission reduction during the 13th five-year plan period. The document points out that by 2020, the energy consumption of China's 10,000 yuan of GDP will decrease by 15% compared with 2015, and the total energy consumption will be controlled within 5 billion tons of standard coal, and the total emissions of major pollutants decreased by 10%-15%. With the rapid development of the logistics industry in recent years, its basic and strategic role in the national economic development has become increasingly prominent, but we should also see the energy and environmental problems it brings. To realize the commitment of "national contribution" and the goal of energy conservation and emission reduction during the 13th five-year plan period, the low-carbon development of logistics is bound to be a new direction, and more scholars need to make a thorough study of low-carbon logistics.

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“…Parallel to the rapid development of Internet and Information Technologies, logistics becomes one of the affected and developing sectors. "Smart city logistics solutions" are presented by Information Technologies to meet the increasing demand for logistics services more efficiently, safely, and environmentally [2]. Smart city logistics is a fundamental approach for the more efficient organization of physical and information logistics in international transportation chains.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of smart city logistics solutions with fuzzy MCDM methods

Büyüközkan¹,

Mukul²

2019

Pamukkale J Eng Sci

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ÖzCity logistics, which started to examine as a subdivision of logistics, aims the planning and management of transportation, efficiency, protection of the environment, reduction of traffic, security, and energy-saving. Rapidly growing population and migration from rural to urban areas have an important place in many of the problems of cities. A smart city is an approach that has a significant potential to solve urban logistics problems with information technologies. "Smart city logistics solutions" such as full adaptive traffic management system, security, and emergency systems, electronic detection system, etc. present based on information technologies to meet the increasing demand for logistics services more efficiently, safely and environmentally. In this study, the evaluation of smart city logistics solutions that contain many components is considered as a multi-criteria decision-making (MCDM) problem. Given the complex nature of this problem and insufficient knowledge, the decision-making approach is supported by fuzzy logic. In this context, the smart city logistics solutions in Istanbul determined by literature review and expert opinions are modeled, analyzed, and the results are interpreted by using the House of Quality matrix of Quality Function Deployment (QFD) approach with fuzzy MCDM methods.Lojistiğin bir alt dalı olarak incelenmeye başlanan "Kentsel Lojistik", genel lojistikte olduğu gibi dağıtım ve ulaşımın planlanmasını, yönetilmesini, etkin bir lojistik sisteminin sağlanmasını, çevrenin korunmasını, trafiğin azaltılmasını, lojistikte güvenliği ve enerji tasarrufunu amaçlamaktadır. Hızla artan nüfus ve kırsal alanlardan kentsel alanlara olan göç, şehirdeki lojistik problemlerinin yaşanmasındaki başlıca sebepler arasındadır. Akıllı şehir yaklaşımı, bilgi teknolojileri ile bu problemleri çözmek için önemli bir potansiyele sahiptir. Lojistik hizmetlerinde artan talebin daha etkin, güvenli ve çevreci bir şekilde karşılanması için bilgi teknolojilerini baz alan tam adaptif trafik yönetim sistemi, güvenlik ve acil durum yönetim sistemi, elektronik denetleme sistemi gibi "Akıllı kentsel lojistik çözümleri" sunulmaktadır. Bu çalışmada, birçok bileşeni bünyesinde barındıran akıllı kentsel lojistik çözümleri, Çok Kriterli Karar Verme (ÇKKV) problemi olarak ele alınmaktadır. Bu problemin karmaşık yapısı ve bilginin yetersiz olduğu göz önünde bulundurularak karar verme yaklaşımı bulanık mantık ile desteklenmektedir. Bu kapsamda, İstanbul'da akıllı kentsel lojistik çözümleri literatür taraması ve uzman görüşleri ile modellenmekte, analiz edilmekte ve sonuçlar Kalite Fonksiyon Göçerimi yaklaşımının Kalite Evi matrisi ve bir bulanık ÇKKV tekniği kullanılarak elde edilmektedir.

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Smart City Logistics on Cloud Computing Model

Cited by 88 publications

References 1 publication

Tendencies of Technologies and Platforms in Smart Cities: A State‐of‐the‐Art Review

Tendencies of Technologies and Platforms in Smart Cities: A State‐of‐the‐Art Review

Overview of Low Carbon Logistics Development in China and Foreign Countries

Evaluation of smart city logistics solutions with fuzzy MCDM methods

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