MuoviMe: Secure Access to Sustainable Mobility Services in Smart City

2021 ◽  
Author(s):  
Alessio Catalfamo ◽  
Maria Fazio ◽  
Francesco Martella ◽  
Antonio Celesti ◽  
Massimo Villari
Keyword(s):  
Smart City ◽  
Sustainable Mobility ◽  
Secure Access

scholarly journals Modeling and Visualizing Smart City Mobility Business Ecosystems: Insights from a Case Study

Information ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 270 ◽  
Author(s):  
Anne Faber ◽  
Sven-Volker Rehm ◽  
Adrian Hernandez-Mendez ◽  
Florian Matthes
Keyword(s):  
Smart City ◽  
Design Science ◽  
Smart Cities ◽  
Knowledge Flows ◽  
Sustainable Mobility ◽  
Ecosystem Models ◽  
Business Ecosystem ◽  
Proactive Management ◽  
Business Ecosystems

Smart mobility is a central issue in the recent discourse about urban development policy towards smart cities. The design of innovative and sustainable mobility infrastructures as well as public policies require cooperation and innovations between various stakeholders—businesses as well as policy makers—of the business ecosystems that emerge around smart city initiatives. This poses a challenge for deploying instruments and approaches for the proactive management of such business ecosystems. In this article, we report on findings from a smart city initiative we have used as a case study to inform the development, implementation, and prototypical deployment of a visual analytic system (VAS). As results of our design science research we present an agile framework to collaboratively collect, aggregate and map data about the ecosystem. The VAS and the agile framework are intended to inform and stimulate knowledge flows between ecosystem stakeholders in order to reflect on viable business and policy strategies. Agile processes and roles to collaboratively manage and adapt business ecosystem models and visualizations are defined. We further introduce basic categories for identifying, assessing and selecting Internet data sources that provide the data for ecosystem models and we detail the ecosystem data and view models developed in our case study. Our model represents a first explication of categories for visualizing business ecosystem models in a smart city mobility context.

scholarly journals Prototyping sustainable mobility practices: user-generated data in the smart city

2017 ◽  
Vol 30 (2) ◽  
pp. 144-157 ◽  
Author(s):  
Alan-Miguel Valdez ◽  
Matthew Cook ◽  
Per-Anders Langendahl ◽  
Helen Roby ◽  
Stephen Potter
Keyword(s):  
Smart City ◽  
Sustainable Mobility

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

2021 ◽  
Vol 12 (4) ◽  
pp. 188
Author(s):  
Tomi Paalosmaa ◽  
Miadreza Shafie-khah
Keyword(s):  
Second Life ◽  
Smart City ◽  
Smart Cities ◽  
City Development ◽  
Sustainable Mobility ◽  
Horizon 2020 ◽  
Vehicle To Grid ◽  
Carbon Neutrality ◽  
Smart Mobility ◽  
The City

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.

Smart city as a tool for sustainable mobility and transport decarbonisation

2018 ◽  
Vol 63 ◽  
pp. 39-50 ◽  
Author(s):  
Jakub Zawieska ◽  
Jana Pieriegud
Keyword(s):  
Smart City ◽  
Sustainable Mobility

scholarly journals A Novel Energy Optimization Approach for Electrical Vehicles in a Smart City

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 929 ◽  
Author(s):  
Flah Aymen ◽  
Chokri Mahmoudi
Keyword(s):  
Power Management ◽  
Smart City ◽  
Energy Use ◽  
Smart Cities ◽  
Classification Problem ◽  
Optimal Decision ◽  
Support Vector ◽  
Optimization Approach ◽  
Sustainable Mobility ◽  
The Road

Electric Vehicles (EVs) have emerged rapidly across the globe as a powerful eco-friendly initiative that if integrated well with an urban environment could be iconic for the city’ host’s commitment to sustainable mobility and be a key ingredient of the smart city concept. This paper examines ways that will help us to develop a better understanding of how EVs can achieve energy use optimization and be connected with a smart city. As a whole, the present study is based on an original idea that would be useful in informing policy-makers, automotive manufacturers and transport operators of how to improve and embrace better EV technologies in the context of smart cities. The proposed approach is based on vehicles and buildings communication for sharing some special information related to the vehicle status and to the road condition. EVs can share their own information related to the energy experience on a specific path. This information can be gathered in a gigantic database and used for managing the power inside these vehicles. In this field, this paper exposes a new approach to power management inside an electric vehicle based on bi-communication between vehicles and buildings. The principle of this method is established on two sections; the first one is related to vehicles’ classification and the second one is attached to the buildings’ recommendation, according to the car position. The classification problem is resolved using the support vector classification method. The recommendation phase is resolved using the artificial intelligence principle and the neural network was employed, for giving the best decision. The optimal decision will be calculated inside the building, according to its position and using the old vehicle’s data, and transferred to the coming vehicle, for optimizing its energy consumption method in the corresponding building zone. Different possibilities and situations were discussed in this approach. The proposed power management methodology was tested and validated using Simulink/Matlab tool. Results related to the battery state of charge and to the consumed energy were compared at the end of this work, for showing the efficiency of this approach.

scholarly journals City Logistics as an Imperative Smart City Mechanism: Scrutiny of Clustered EU27 Capitals

2021 ◽  
Vol 13 (7) ◽  
pp. 3641
Author(s):  
Filip Škultéty ◽  
Dominika Beňová ◽  
Jozef Gnap
Keyword(s):  
Traffic Congestion ◽  
Smart City ◽  
Urban Areas ◽  
Point Of View ◽  
Transport Infrastructure ◽  
City Logistics ◽  
Sustainable Mobility ◽  
Capital Cities ◽  
Cluster Analytic ◽  
Efficient Distribution

In large urban agglomerations, various logistical problems arise due to high population density and deficient transport infrastructure. City logistics involves the efficient distribution of freight transport in urban areas and approaches to mitigate environmental impacts and traffic congestion. This paper aims to use a two-step cluster analytic approach to segmentation of EU27 capital cities based on their city logistics performance. To obtain primary outcomes, the log-likelihood measure in SPSS Statistics was used. The results can be used to identify the development and implementation of logistics measures in capitals across the EU. In addition to clustering, the statistical analysis evaluates the position of investigated cities concerning traffic congestions, and from an environmental point of view, the carbon dioxide produced from transport. The scrutiny delivers practical outlooks on how clustering can be undertaken and proves how the clusters can be used to plan city logistics and supply chain management. Finally, the paper deals with smart city indices from the perspective of sustainable mobility and examines its correlation with city logistics.

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