scholarly journals An Assessment Framework for the Transformation of Mobility 4.0 in Smart Cities

Systems ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Hakan Inac ◽  
Ercan Oztemel
Keyword(s):  
Mathematical Model ◽  
Reference Model ◽  
Smart Cities ◽  
Transportation Systems ◽  
Transformation Process ◽  
Digital Transformation ◽  
Decision Makers ◽  
Strategic Action ◽  
Related Services ◽  
Transport Services

Investing in digital transformation turns out to be a strategic action to tackle contemporary issues and to improve competitiveness for enterprises. The high variability of options in the digital transformation process enforces a higher complexity level in configuring and setting up objectives and goals based on cities’ needs; hence, a systematic approach is required to assist decision makers for better and sustainable transformation. A reference model is described in this paper to support decision makers with comprehensive assessment data for digital transformation cities transport. The proposed reference model assesses the cities based on digital transformation of transport services to assist policy makers for better decisions in transforming the Mobility 4.0. The proposed model in this study functions as a knowledge-based systematic framework for assessing the capabilities of the cities, diagnosing their needs under given circumstances and identifying the best fitting workflow for digital transformation of urban transportation systems and related services. The reference model takes on board a group of smart city indices with respective assessment criteria in determining a smartness level of transportation components. A conceptual 4-tier smartness scale has been proposed to establish a consistent assessment subject to cities circumstances in many respects. The reference model has been formalised into a mathematical model to characterise the assessments. The mathematical model encompasses strategic assessments by experts to identify priorities of investments in the digitalization process, which are aligned with strategic goals and policies of cities’ management.

Smart Cities and Their Missions

2022 ◽  
pp. 151-167
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Developing Nations ◽  
Transformation Process ◽  
Digital Transformation

Two major topics are presented in this chapter: the reasons behind adopting the choice of digital transformation into smart city and the challenges that are encountered in doing so. In persistence towards transformation, the smart city concept is explained, with a detailed view of the principles for smart development, sharing a vision for forward actions. The chapter also outlines the types of challenges faced by professionals in developing nations while implementing smart city transformation. It discusses three main types of challenges: strategic, direct, and persistent. As an overview of the transformation process, the chapter discusses the pillars of smart cities development.

scholarly journals MOBDA: Microservice-Oriented Big Data Architecture for Smart City Transport Systems

2020 ◽  
Vol 4 (3) ◽  
pp. 17 ◽  
Author(s):  
Suriya Priya R. Asaithambi ◽  
Ramanathan Venkatraman ◽  
Sitalakshmi Venkatraman
Keyword(s):  
Big Data ◽  
Intelligent Transportation Systems ◽  
Consumer Satisfaction ◽  
Smart Cities ◽  
Transportation Systems ◽  
Transport Systems ◽  
Hybrid Architecture ◽  
Smart Transportation ◽  
Transport Services ◽  
Data Architecture

Highly populated cities depend highly on intelligent transportation systems (ITSs) for reliable and efficient resource utilization and traffic management. Current transportation systems struggle to meet different stakeholder expectations while trying their best to optimize resources in providing various transport services. This paper proposes a Microservice-Oriented Big Data Architecture (MOBDA) incorporating data processing techniques, such as predictive modelling for achieving smart transportation and analytics microservices required towards smart cities of the future. We postulate key transportation metrics applied on various sources of transportation data to serve this objective. A novel hybrid architecture is proposed to combine stream processing and batch processing of big data for a smart computation of microservice-oriented transportation metrics that can serve the different needs of stakeholders. Development of such an architecture for smart transportation and analytics will improve the predictability of transport supply for transport providers and transport authority as well as enhance consumer satisfaction during peak periods.

scholarly journals Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

2020 ◽  
Vol 12 (2) ◽  
pp. 22 ◽  
Author(s):  
Thays A. Oliveira ◽  
Yuri B. Gabrich ◽  
Helena Ramalhinho ◽  
Miquel Oliver ◽  
Miri W. Cohen ◽  
...  
Keyword(s):  
Operations Research ◽  
Optimization Problems ◽  
State Of The Art ◽  
Smart Cities ◽  
Transportation Systems ◽  
Decision Makers ◽  
Current Generation ◽  
Combinatorial Optimization Problems ◽  
Innovation And Technology ◽  
Transportation Technologies

Cities are constantly transforming and, consequently, attracting efforts from researchers and opportunities to the industry. New transportation systems are being built in order to meet sustainability and efficiency criteria, as well as being adapted to the current possibilities. Moreover, citizens are becoming aware about the power and possibilities provided by the current generation of autonomous devices. In this sense, this paper presents and discusses state-of-the-art transportation technologies and systems, highlighting the advances that the concepts of Internet of Things and Value are providing. Decentralized technologies, such as blockchain, are been extensively investigated by the industry, however, its widespread adoption in cities is still desirable. Aligned with operations research opportunities, this paper identifies different points in which cities’ services could move to. This also study comments about different combinatorial optimization problems that might be useful and important for an efficient evolution of our cities. By considering different perspectives, didactic examples are presented with a main focus on motivating decision makers to balance citizens, investors and industry goals and wishes.

scholarly journals SMARTIES Project: The Survey of Needs for Municipalities and Trainers for Smart Cities

Challenges ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 13
Author(s):  
George Xydis ◽  
Luca Pagliaricci ◽  
Živilė Paužaitė ◽  
Vygintas Grinis ◽  
Gyula Sallai ◽  
...  
Keyword(s):  
Public Sector ◽  
Smart Cities ◽  
Prior Experience ◽  
Environmental Awareness ◽  
General Concept ◽  
Decision Makers ◽  
The Public ◽  
Low Level ◽  
The Subject

In an aim to contribute to already existing knowledge upon the subject of smart cities and the public sector’s wider knowledge in Europe, this study investigates the perception by the municipalities and the wider public sector, responsible for implementing smart solutions in the environment. The understanding of the concept of smart cities/villages by municipalities is on a low level due to the fact that the problem is too wide, not well described, solutions even wider, accompanied by the lack of experts able to offer comprehensive solutions to municipalities. The study presents factors according to the current municipalities’ knowledge (environmental awareness, knowledge and prior experience) and the existing market, of whether these factors can be said that affect the acceptance of smart cities. The public is already aware of the smart cities as a general concept, however, the study sheds light upon the established knowledge that the decision makers have in five countries, Hungary, Slovakia, Italy, Lithuania, and Denmark.

Synergies Between Transportation Systems, Energy Hub and the Grid in Smart Cities

2021 ◽  
pp. 1-15
Author(s):  
Morteza Sheikh ◽  
Jamshid Aghaei ◽  
Hossein Chabok ◽  
Mahmoud Roustaei ◽  
Taher Niknam ◽  
...  
Keyword(s):  
Smart Cities ◽  
Transportation Systems ◽  
Energy Hub

Who’s making the decisions? How managers can harness artificial intelligence and remain in charge

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pooya Tabesh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Big Data ◽  
Digital Transformation ◽  
Decision Processes ◽  
Decision Makers ◽  
Content Type ◽  
Human Decision ◽  
Practical Implications

Purpose While it is evident that the introduction of machine learning and the availability of big data have revolutionized various organizational operations and processes, existing academic and practitioner research within decision process literature has mostly ignored the nuances of these influences on human decision-making. Building on existing research in this area, this paper aims to define these concepts from a decision-making perspective and elaborates on the influences of these emerging technologies on human analytical and intuitive decision-making processes. Design/methodology/approach The authors first provide a holistic understanding of important drivers of digital transformation. The authors then conceptualize the impact that analytics tools built on artificial intelligence (AI) and big data have on intuitive and analytical human decision processes in organizations. Findings The authors discuss similarities and differences between machine learning and two human decision processes, namely, analysis and intuition. While it is difficult to jump to any conclusions about the future of machine learning, human decision-makers seem to continue to monopolize the majority of intuitive decision tasks, which will help them keep the upper hand (vis-à-vis machines), at least in the near future. Research limitations/implications The work contributes to research on rational (analytical) and intuitive processes of decision-making at the individual, group and organization levels by theorizing about the way these processes are influenced by advanced AI algorithms such as machine learning. Practical implications Decisions are building blocks of organizational success. Therefore, a better understanding of the way human decision processes can be impacted by advanced technologies will prepare managers to better use these technologies and make better decisions. By clarifying the boundaries/overlaps among concepts such as AI, machine learning and big data, the authors contribute to their successful adoption by business practitioners. Social implications The work suggests that human decision-makers will not be replaced by machines if they continue to invest in what they do best: critical thinking, intuitive analysis and creative problem-solving. Originality/value The work elaborates on important drivers of digital transformation from a decision-making perspective and discusses their practical implications for managers.

scholarly journals ECDL - A basic tool for Smart Cities

2018 ◽  
Vol 331 ◽  
pp. 69-77
Author(s):  
Ronald Bieber
Keyword(s):  
Daily Life ◽  
Smart Cities ◽  
Basic Skills ◽  
Digital Transformation ◽  
Basic Tool ◽  
Digital Skills

Digital Transformation is changing our society as a whole. New digital skills are required in order to be able to participate in the daily life and work. The OCG has designed a concept “Education 4.0” which enables digital basic skills to everyone. The ECDL – a longstanding worldwide accepted IT certificate – plays an important role within this concept.

scholarly journals Estimating Cost Savings of Coordinating Regional Non-Emergency Human Transport Services

2010 ◽  
Author(s):  
Ryoichi Sakano ◽  
Julian Benjamin
Keyword(s):  
Public Transportation ◽  
Local Community ◽  
Operating Cost ◽  
Cost Savings ◽  
Transportation Systems ◽  
Transportation Services ◽  
Transport Services ◽  
Transportation Agencies ◽  
Human Transport ◽  
Current Operating

Local public transportation agencies provide a nonemergency human transport service to nearby hospitals and doctors' offices. Some users require specialized medical services at a hospital located out of the normal service area. In the Piedmont/Triad region of North Carolina, the Piedmont Authority for Regional Transportation (PART) began PART Connections in April 2004, to provide two daily transportation services between the Piedmont/Triad area and the UNC/Duke medical areas. Using current operating cost data of participating transportation systems, round-trip costs to the UNC/Duke medical areas from each county and to the nearest PART Connections stop are estimated. Given the actual number of passengers served by PART Connections during the first nine-month period of the service, the net saving in the operating cost by participating PART Connections is estimated for each system. Then, the total service hours saved by using PART Connections are estimated for each system, and are used to estimate the number of additional passengers served within the system. It is estimated that PART Connections could provide a net saving of $38,000 on operation expenses annually to the participating four county transportation systems. More importantly, PART Connections would enable the four county systems to provide more than 10,000 additional passenger trips within each county annually, by using the saved resources. In addition, 12 local community transportation providers in 15 western counties of the Piedmont/Triad region, which currently do not participate in PART Connections, are estimated to save a modest $9,600 in total annually, by using PART Connections.

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