scholarly journals Smart City Innovation within the Sharing Economy: Urban Innovation and Collaborative Consumption

2020 ◽  
Vol 14 (1) ◽  
pp. 1147-1157
Author(s):  
Marta Christina Suciu ◽  
Diana-Florentina Nasulea ◽  
Christian Nasulea

AbstractWith the increase of population and the increasing expectations of said population, urban environments require modern solutions for old and new problems alike. Technological and institutional innovation have both alleviated or solved many of the problems of modern cities. When we speak of smart cities, we tend to imagine solutions that focus on big data and its potential to help direct policy in a top-down approach whereas the sharing economy evokes bottom-up solutions where groups of people get together to solve community issues. Modern cities face a large number of challenges ranging from housing to air quality, to education, healthcare and emergency services or parking and traffic management. The list is virtually endless. They do, however, also present certain advantages over smaller, spread-out communities as having large numbers of people in a relatively small geographical space allows for innovative resource sharing solutions that would not be possible or might not be efficient otherwise. In a sense, population density is one of the biggest challenges of modern cities but also one of their greatest opportunities. We set out to analyse current and potential intersections between smart city technologies and solutions arising from the sharing economy. We look at existing smart city technology and the potential to expand its applications by giving more control to the citizens themselves and we examine a mathematical model that assess the viability of sharing cities. If we desire our future cities to be human-friendly, eco-friendly and sustainable it’s important to understand which solutions have the greatest potential to lead us down the path of sustainability.

Author(s):  
Hector Rico-Garcia ◽  
Jose-Luis Sanchez-Romero ◽  
Antonio Jimeno-Morenilla ◽  
Hector Migallon-Gomis

The development of the smart city concept and the inhabitants’ need to reduce travel time, as well as society’s awareness of the reduction of fuel consumption and respect for the environment, lead to a new approach to the classic problem of the Travelling Salesman Problem (TSP) applied to urban environments. This problem can be formulated as “Given a list of geographic points and the distances between each pair of points, what is the shortest possible route that visits each point and returns to the departure point?” Nowadays, with the development of IoT devices and the high sensoring capabilities, a large amount of data and measurements are available, allowing researchers to model accurately the routes to choose. In this work, the purpose is to give solution to the TSP in smart city environments using a modified version of the metaheuristic optimization algorithm TLBO (Teacher Learner Based Optimization). In addition, to improve performance, the solution is implemented using a parallel GPU architecture, specifically a CUDA implementation.


Author(s):  
Suresh P. ◽  
Keerthika P. ◽  
Sathiyamoorthi V. ◽  
Logeswaran K. ◽  
Manjula Devi R. ◽  
...  

Cloud computing and big data analytics are the key parts of smart city development that can create reliable, secure, healthier, more informed communities while producing tremendous data to the public and private sectors. Since the various sectors of smart cities generate enormous amounts of streaming data from sensors and other devices, storing and analyzing this huge real-time data typically entail significant computing capacity. Most smart city solutions use a combination of core technologies such as computing, storage, databases, data warehouses, and advanced technologies such as analytics on big data, real-time streaming data, artificial intelligence, machine learning, and the internet of things (IoT). This chapter presents a theoretical and experimental perspective on the smart city services such as smart healthcare, water management, education, transportation and traffic management, and smart grid that are offered using big data management and cloud-based analytics services.


Smart Cities ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 46-65 ◽  
Author(s):  
Daniel Costa ◽  
Adson Damasceno ◽  
Ivanovitch Silva

The development of crowdsensing-based technologies has allowed for the use of smartphones in large-scale data collection for different scopes of applications, mostly in a transparent and ubiquitous way. When concerning urban areas and smart city initiatives, the collection and further analysis of information about the highest number of vehicles is of paramount importance, potentially supporting more efficient mobility planning and management actions in modern cities. In this context, this article proposes a public general-purpose platform for acquisition and visualization of vehicular speeds, which can then be exploited by any additional application. For that, a crowdsensing-based mobile software application was developed to collect instantaneous speeds provided by smartphone GPS, formatting and distributing this information to a database system. Such historical data can then be exported or visualized through a web-based comprehensive interface, which provides valuable data when planning traffic mobility in cities; for example, indicating areas with heavier traffic over a certain time period. Therefore, allowing the use of many different search filters and supporting data delivery in the JSON format, the CitySpeed platform can provide services not supported by popular applications, such as Waze and Google Maps, and potentially assist smart city initiatives in this area.


Author(s):  
Christos G. Cassandras

Poor traffic management in urban environments is responsible for congestion, unnecessary fuel consumption and pollution. Based on new wireless sensor networks and the advent of battery-powered vehicles, this chapter describes three new systems that affect transportation in Smart Cities. First, a Smart Parking system which assigns and reserves an optimal parking space based on the driver's cost function, combining proximity to destination and parking cost. Second, a system to optimally allocate electric vehicles to charging stations and reserve spaces for them. Finally, we address the traffic light control problem by viewing the operation of an intersection as a stochastic hybrid system. Using Infinitesimal Perturbation Analysis (IPA), we derive on-line gradient estimates of a cost metric with respect to the controllable green and red cycle lengths and iteratively adjust light cycle lengths to improve (and possibly optimize) performance, as well as adapt to changing traffic conditions.


Author(s):  
Sesil Koutra ◽  
Paulina Rodriguez Fiscal ◽  
Marie Abigail Pacho ◽  
Rallou Taratori ◽  
Pascal Simoens

Despite the increasing interest in ‘smart city’ initiatives worldwide, current literature still lacks the approaches and models that address challenges in organization and collaboration, which boost sustainability and ‘smartness’ in modern cities. This paper provides an overview of ‘smart city’ ecosystems as a mechanism to promote the expected outcomes of their sustainable development, and highlights the importance of conceptualizing cities from organizational and managerial perspectives. Representative exploratory models of ‘city organization’, which emphasize on the role of ‘governance’ and synergies, are presented to ‘decode’ complex city mechanisms and to determine key components that lead to ‘smart’ initiatives. Interesting case studies and applications are then analysed to examine the practical dimension of these approaches. As a review paper, this article lays out a general framework on the importance of ‘collaboration’, ‘governance’, ‘management’, and ‘ecosystem’. However, 'planning smartly’ and achieving ‘sustainability’ at the level of city ‘organization’ remain as challenges in this pioneering study of smart cities.


2021 ◽  
Vol 68 (1) ◽  
Author(s):  
Sara Tarek ◽  
Ahmed Salah El-Din Ouf

AbstractThe purpose of the study is to identify the main indicators and aspects for applying biophilic and smart solutions in city planning and design to achieve urban resilience. This research investigates the main definitions, elements, and attributes for biophilic design and smart city planning that help in developing resilience strategies for healthier urban environments. This study follows a methodology that comprises two approaches; first a concise review definition and principles of urban resilience. Then investigating the notions of biophilic and smart approaches to achieve healthier urban environments. Second, an analytical approach that proposes a framework for applying biophilic and smart city indicators to achieve urban resilience. The proposed framework highlights the achieved adaptive capacities for resilient cities due to adopting biophilic and smart solutions. The research results highlight a proposed relationship between principles of urban resilience, biophilic city indicators, and smart city indicators.


2021 ◽  
Vol 18 (3) ◽  
pp. 474-484
Author(s):  
K.A. Semyachkov ◽  

This study aims to systematize the main factors of the smart city model that affect the increment of the territorial innovative potential. The development of digital technologies and new forms of socio-economic interactions built on their basis has a significant impact on urban transformations and the innovative processes associated with the development of the urban environment. Methodologically, the study relies on a system logical analysis of Russian and international publications in this field. The study reveals the features of the smart city model that significantly increase the innovative potential of modern cities. It is shown that the smart city model enhances the effect of the factors that can significantly increase the innovative potential of a territory. The main factors of innovative development include the availability of digital infrastructure, the development of high-tech businesses and creative industries, social integration, and so on. The study has both theoretical and practical significance and its findings can be used in further research on the topic of smart cities and innovative development.


Author(s):  
Jyoti Chandiramani ◽  
Sushma Nayak

The idea of smart city has assumed popularity in numerous countries across the globe. In 2015, the Government of India embarked on a mission of creating 100 smart cities to sustain the burgeoning urban population. While a wide-ranging set of fundamentals has a key role in enhancing the quality of life of citizens, the chapter revolves around transportation issues and traffic management concerns in one of India's smart cities, Pune. Transport is one of the few areas where Pune lags behind compared to its urban counterparts in the country. Public transportation in the city has been ineffectual, and auto rickshaws have been unyielding and pricey, thus making it imperative to possess personal vehicles or resort to app-based cab services. A palpable outcome of this has been traffic congestion that leads to slower travelling speeds, extended trip times, and amplified vehicular queuing. Big data and IoT can make a considerable impact in realizing the smart city objectives for efficient transportation in Pune by serving as complementary measures to supply-side policies.


Author(s):  
Gamze Coban ◽  
Şule Aydın

This chapter provides an insight into the topic of smart destinations. By adopting smart technologies, tourism destinations, as well as cities, gain more opportunities to offer better quality of life for residents and visitors. Smart cities aim to improve resource management, sustainability, and living conditions in urban environments by utilizing ICTs. The concept of smart tourism destination, deriving from smart city, refers to the use of technology in tourism destinations to increase the service quality and tourist satisfaction by focusing on tourists' expectations. In other words, smart tourism destinations aim to integrate technology into the destination for these purposes. This chapter presents the concepts of smart city, smart tourism, and smart destination. The emergence of smart city and smart destination concepts and the issues and challenges they might face are discussed. In addition to some future research directions, a brief discussion on potential controversies is presented.


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