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智能城市物流云计算模型英文文献和中文翻译

时间:2022-09-06 22:41来源:毕业论文
Abstract City developing in the sustainable manner economically, ecologically and socially is the most competitive when it meets citizens demands。 It becomes the most attractive place for life and work for residents。 At the same time, b

Abstract City developing in the sustainable manner – economically, ecologically and socially – is the most competitive when it meets citizens’ demands。 It becomes the most attractive place for life and work for residents。 At the same time, building an inviting place that meets the needs of city residents is a difficult task for local governments。 Firstly to identify, and secondly to fulfil the citizens’ continuously changing needs。 One of the easiest methods to help understand the residents’ needs can be crowdsourcing usage。 However the most challenging area of responsibility is to manage traffic by the city logistics infrastructure designed to eliminate congestion problems within existing city spatial and, at the same time, to flexibly reply on transport changing demands。 The answer to those challenges facilitating future Smart City logistics development is interoperable IT system usage based on cloud computing model。 Similarly, cloud computing, by its design and characteristics, is particularly interesting for the public sector aiming to reduce costs and improve flexibility in operations。 The cloud computing model gives unique opportunity to design city logistics infrastructure in the way that it is easily adaptive to changing transport demands。 The main objective of the article is to present Smart City logistics on the cloud computing model (Cloud Smart City logistics) as the concept of citizens’ demand-driven flexible logistics infrastructure performance for the sustainable city of the future which is available for any city government interested in sustainable development。83860

“The 19th century was a century of empires, the 20th century was a century of nation states。 The 21st century will be a century of cities。”

– Wellington E。 Webb, former Mayor of Denver, Colorado

*Corresponding author。 Tel。: +48-22-564-9326 ; fax: +48-22-564-6863。 E-mail address: Katarzyna。Nowicka@sgh。waw。pl

1877-0428 © 2014 Published by Elsevier Ltd。 This is an open access article under the CC BY-NC-ND license (http://creativecommons。org/licenses/by-nc-nd/3。0/)。

Peer-review under responsibility of the scientific committee of Green Cities 2014 doi:10。1016/j。sbspro。2014。10。025

Katarzyna Nowicka / Procedia - Social and Behavioral Sciences 151 (2014) 266 – 281 267

1。 Smart City

Cities are based on a number of different systems (infrastructures, networks and environments) central to their operation and development: people, business, transport, communication, water and energy (Figure 1)。 The effectiveness and efficiency of these systems determines how a city works and how successful it is at delivering its goals (Dirks & Keeling, 2009)。 At the same time, cities have limited resources and they must take account of the interconnected challenges and the interrelated systems they influence。 In a particular single case, it is always a “trade-off” problem in choosing the most important system to concentrate at the moment。 At the same time, presented systems are connected and influencing each other。 Therefore, they require from city administration, the ability to predict the holistic impact of decision effects taken in a single area of the chosen system。 They also require intelligent management in different layers of cities’ activities。

Since it is expected that city administration will manage available resources in the sustainable manner, the measurable effects should be visible in the area of social, ecological and economic growth of the city。 Simultaneously, fulfilling the “mixture” of available spatial and road network capacity or management limitations

(e。g。 there are no practical cargo public transport systems available for freight, so cities’ administration have to rely on trucks and vans for urban distribution supported in most of the cases by logistics providers from the private sector)。 智能城市物流云计算模型英文文献和中文翻译:http://www.youerw.com/fanyi/lunwen_99094.html

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