Smart mobility solutions – necessary precondition for a well-functioning smart city

Šurdonja, Sanja; Giuffrè, Tullio; Deluka-Tibljaš, Aleksandra

doi:10.1016/j.trpro.2020.03.051

Cited by 63 publications

(25 citation statements)

References 9 publications

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“…Ultimately, the goal is more sustainable and well-functioning urban surroundings, with the ability to provide better QoL to the citizens by efficient, secure, and sustainable mobility, energy technology, digitalization, and ICT solutions. Smart transport, including individual mobility and public transport, seeks to support and exploit new ways of, e.g., e-mobility systems, self-driving vehicles (not part of the IRIS project), continuous mobility chains and mobility services, which are not only efficient and user-friendly, but cost-effective as well [18][19][20][21].…”

Section: Smart Transportmentioning

confidence: 99%

“…Transmission from private car ownership towards car sharing, self-driving vehicles, and enhanced smart public transport services and increased connectivity, result in more sustainable transport in general, with decreased traffic volume and emission levels, being optimized to meet the demands and requirements of inter-modality. Smart public transport systems are highly flexible, providing consumers more versatility in transport modes, routes, schedules, service providers and payment systems [20,21].…”

Section: Smart Transportmentioning

confidence: 99%

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Feasibility of Innovative Smart Mobility Solutions: A Case Study for Vaasa

Paalosmaa

Shafie‐khah

2021

WEVJ

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The global trend of urbanization and growing environmental awareness have risen concerns and demands to develop cities to become smarter. There is a grave need for ambitious sustainability strategies and projects, which can aid cities intelligently and comprehensively in this task. European Union (EU) launched 2014 the Horizon 2020 program (aka Horizon Europe), aiming to encourage the EU nations and their cities to take action to reach carbon neutrality through projects striving to smart city development. By promoting innovative, efficient, far-reaching, and replicable solutions, from the fields of smart energy production and consumption, traffic and mobility, digitalization and information communication technology, and citizen engagement, the objectives of the smart city strategies can be achieved. Horizon 2020 funded IRIS Smart Cities project was launched in 2017. One of the follower cities in the project has been the City of Vaasa in Finland. Vaasa’s climate objective is to reach carbon neutrality by 2030. In order to achieve this goal, the city has taken several decisive measures to enhance de-carbonization during recent years. One essential target for de-carbonization activities has been traffic and mobility. The primary purpose of the research conducted was to study the smart mobility, vehicle-to-grid (V2G), and second life battery solutions in the IRIS Smart Cities project, demonstrated first by the Lighthouse cities and then to be replicated in the City of Vaasa. The aim was to study which importance and prioritization these particular integrated solutions would receive in the City of Vaasa’s replication plan led by the City of Vaasa’s IRIS project task team of 12 experts, with the contribution of the key partners and stakeholders. Additionally, the aim was to study the potential of the integrated solutions in question to be eventually implemented in the Vaasa environment, and the benefit for the city’s ultimate strategy to reach carbon neutrality by 2030. The secondary object was to study the solutions’ compatibility with the IRIS lighthouse cities’ demonstrations and gathered joined experiences concerning the smart and sustainable mobility and vehicle-to-grid solutions, and utilization of 2nd life batteries. The results of the research indicated, that the innovative smart mobility solutions, including vehicle-to-grid and second life battery schemes, are highly relevant not only to the IRIS Lighthouse cities, but they also present good potential for the City of Vaasa in the long run, being compatible with the city’s climate and de-carbonization goals.

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Section: Smart Transportmentioning

confidence: 99%

Section: Smart Transportmentioning

confidence: 99%

Feasibility of Innovative Smart Mobility Solutions: A Case Study for Vaasa

Paalosmaa

Shafie‐khah

2021

WEVJ

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“…Some smart city definitions can be found in [9]. Smart cities use information and communication technology applications to enhance innovation and knowledge, reduce costs, use resources optimally, enhance living and work, and to facilitate communication between government and people living and working in the city [10][11][12]. Although there are many goals behind the smart city, but in general it promotes the optimum and effective use of physical infrastructure and works to enhance communication between citizens living in the city and the government to improve life in the city.…”

Section: Smart Citiesmentioning

confidence: 99%

Relationship of Smart Cities and Smart Tourism: An Overview

Habeeb¹,

Weli²

2020

HighTech. Innov. J.

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Smart city and smart tourism terms have become very popular in the past and present decades. Research in the field of smart tourist city still fails to cover the developments of the smart tourist city. The aim of the study is to review the recent literature on smart cities and smart tourism and their role in achieving a sustainable tourism sector and enhancing the competitiveness of the country’s tourism sector and make it more developed and modern. In this study, the relationship between the smart city and the tourism is presented and to present the relationship or conceptual approach between the smart city and the smart tourism. In addition, the current situation and the potential for growth and development of tourism in Iraq through the establishment and application of smart cities is identified. The recent studies that were mentioned in this study indicate that there is a close relationship between the smart city and smart tourism and also indicate that the smart city has a fundamental role in the growth and development of tourist destinations and the smart tourist city are results of the convergence and interconnection between the smart city and the tourist city. Finally, recommendations for the smart tourism city applications in Iraq are provided. Doi: 10.28991/HIJ-2020-01-04-07 Full Text: PDF

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“…The sustainable management of mobility is identified as a key component for a wellfunctioning Smart City [25]. On one side, technologies are evolving offering new and more effective transportation modes [22].…”

Section: Introductionmentioning

confidence: 99%

Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation

Erdelyi

Amblard

Gaudou

et al. 2022

Multi-Agent-Based Simulation XXII

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Traffic simulation is a tool used by urban planners to assess the impact of new urban designs and public policies on mobility. Over the years, numerous traffic models have been proposed, each model offering different levels of details and performances. Multi-level model coupling is an interesting approach to combine the advantages of complementary representations while limiting their drawbacks. In this paper, we design and evaluate the performances of hybrid traffic models combining a microscopic model (IDM) with a mesoscopic model (event-driven and queue-based). The results show that microscopic models have more diversity in terms of behaviors but reduce the vehicle average speed and mesoscopic models are more efficient in terms of computational time but display a higher vehicle speed. Their hybridization then enables to find a balance between scalability and the variety of the observed behaviors.

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Smart mobility solutions – necessary precondition for a well-functioning smart city

Cited by 63 publications

References 9 publications

Feasibility of Innovative Smart Mobility Solutions: A Case Study for Vaasa

Feasibility of Innovative Smart Mobility Solutions: A Case Study for Vaasa

Relationship of Smart Cities and Smart Tourism: An Overview

Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation

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