scholarly journals A Technology-Based Innovation Adoption and Implementation Analysis of European Smart Tourism Projects: Towards a Smart Actionable Classification Model (SACM)

2021 ◽  
Vol 13 (18) ◽  
pp. 10279
Author(s):  
Dejan Križaj ◽  
Miha Bratec ◽  
Peter Kopić ◽  
Tadej Rogelja
Keyword(s):  
Environmental Sustainability ◽  
Smart Cities ◽  
Social Sustainability ◽  
Innovation Adoption ◽  
Advanced Technology ◽  
Classification Model ◽  
Technological Innovations ◽  
Adoption And Implementation ◽  
Implementation Analysis ◽  
Smart Tourism

Similar to the concept of “Smart Cities”, “Smart Tourism” has undoubtedly become a promising field of research, and “the” buzzword in the last five years. But how much of this is “smart washing”, and how much progress has really been made? We focus on the adoption and implementation of technological innovations to analyze the publicly available descriptions of Smart Tourism projects implemented in Europe according to the stringent technological criteria of contemporary Smart Tourism definitions. The results show that the vast majority of projects branded as “smart” predominantly pursue environmental sustainability goals, but do not feature advanced technology that meets the Smart Actionable attribute criteria, and do not address social sustainability issues to the same extent as the environmental ones.

Intelligent transportation system for sustainable environment in smart cities

2021 ◽  
pp. 002072092098350
Author(s):  
Liang Zhao ◽  
Yuanhua Jia
Keyword(s):  
Environmental Sustainability ◽  
Intelligent Transportation Systems ◽  
Autonomous Vehicles ◽  
Intelligent Transportation System ◽  
Smart Cities ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Advanced Technology ◽  
Toxic Substances ◽  
Sustainable Environment

Advanced technology has ushered in the urge to enhance the travel experience. Besides the consistent desire to travel faster and more comfortably, the need to ensure transportation sustainability has remained constant. Smart cities employ top-grade technological applications to facilitate operations. Intelligent transportation systems involve the use of advanced transportation technologies. Through the integration of the Internet of Vehicles, cars in traffic can send and receive data between themselves and other vehicles and the environment. This data is processed to ensure efficient transportation by controlling traffic flows and preventing accidents. In this study, a literature review is conducted on how intelligent transportation systems contribute to environmental sustainability in smart cities. With technologies such as electricity-driven cars and autonomous vehicles, the systems minimize the emission of toxic substances to the environment while enhancing the interaction of the car with its surroundings to avoid accidents.

scholarly journals Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data

2021 ◽  
Author(s):  
Karan Bajaj ◽  
Bhisham Sharma ◽  
Raman Singh
Keyword(s):  
High Speed ◽  
Smart Cities ◽  
Fog Computing ◽  
Edge Computing ◽  
Computation Offloading ◽  
Performance Parameters ◽  
Iot Applications ◽  
Time Sensitivity ◽  
Implementation Analysis ◽  
Increasing Demand

AbstractThe Internet of Things (IoT) applications and services are increasingly becoming a part of daily life; from smart homes to smart cities, industry, agriculture, it is penetrating practically in every domain. Data collected over the IoT applications, mostly through the sensors connected over the devices, and with the increasing demand, it is not possible to process all the data on the devices itself. The data collected by the device sensors are in vast amount and require high-speed computation and processing, which demand advanced resources. Various applications and services that are crucial require meeting multiple performance parameters like time-sensitivity and energy efficiency, computation offloading framework comes into play to meet these performance parameters and extreme computation requirements. Computation or data offloading tasks to nearby devices or the fog or cloud structure can aid in achieving the resource requirements of IoT applications. In this paper, the role of context or situation to perform the offloading is studied and drawn to a conclusion, that to meet the performance requirements of IoT enabled services, context-based offloading can play a crucial role. Some of the existing frameworks EMCO, MobiCOP-IoT, Autonomic Management Framework, CSOS, Fog Computing Framework, based on their novelty and optimum performance are taken for implementation analysis and compared with the MAUI, AnyRun Computing (ARC), AutoScaler, Edge computing and Context-Sensitive Model for Offloading System (CoSMOS) frameworks. Based on the study of drawn results and limitations of the existing frameworks, future directions under offloading scenarios are discussed.

scholarly journals Real Time Multipurpose Smart Waste Classification Model for Efficient Recycling in Smart Cities Using Multilayer Convolutional Neural Network and Perceptron

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4916
Author(s):  
Ali Usman Gondal ◽  
Muhammad Imran Sadiq ◽  
Tariq Ali ◽  
Muhammad Irfan ◽  
Ahmad Shaf ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Real Time ◽  
Multilayer Perceptron ◽  
Smart Cities ◽  
Classification Model ◽  
Rapid Urbanization ◽  
Metal Waste ◽  
Waste Classification ◽  
The City

Urbanization is a big concern for both developed and developing countries in recent years. People shift themselves and their families to urban areas for the sake of better education and a modern lifestyle. Due to rapid urbanization, cities are facing huge challenges, one of which is waste management, as the volume of waste is directly proportional to the people living in the city. The municipalities and the city administrations use the traditional wastage classification techniques which are manual, very slow, inefficient and costly. Therefore, automatic waste classification and management is essential for the cities that are being urbanized for the better recycling of waste. Better recycling of waste gives the opportunity to reduce the amount of waste sent to landfills by reducing the need to collect new raw material. In this paper, the idea of a real-time smart waste classification model is presented that uses a hybrid approach to classify waste into various classes. Two machine learning models, a multilayer perceptron and multilayer convolutional neural network (ML-CNN), are implemented. The multilayer perceptron is used to provide binary classification, i.e., metal or non-metal waste, and the CNN identifies the class of non-metal waste. A camera is placed in front of the waste conveyor belt, which takes a picture of the waste and classifies it. Upon successful classification, an automatic hand hammer is used to push the waste into the assigned labeled bucket. Experiments were carried out in a real-time environment with image segmentation. The training, testing, and validation accuracy of the purposed model was 0.99% under different training batches with different input features.

scholarly journals Institutional-Political Scenarios for Anthropocene Society

2018 ◽  
Vol 60 (1) ◽  
pp. 57-94 ◽  
Author(s):  
Andrew J. Hoffman ◽  
P. Devereaux Jennings
Keyword(s):  
Social Science ◽  
Institutional Theory ◽  
Human Activity ◽  
Natural Environment ◽  
Environmental Sustainability ◽  
Social Sustainability ◽  
New Paradigm ◽  
Change Mechanisms ◽  
Main Change

Natural scientists have proposed that humankind has entered a new geologic epoch. Termed the “Anthropocene,” this new reality revolves around the central role of human activity in multiple Earth ecosystems. That challenge requires a rethinking of social science explanations of organization and environment relationships. In this article, we discuss the need to politicize institutional theory as a means understanding “Anthropocene Society,” and in turn what that resultant society means for the Anthropocene in the natural environment. We modify the constitutive elements of institutional orders and a set of main change mechanisms to explore three scenarios around which future Anthropocene Societies might be built—Collapsing Systems, Market Rules, and Cultural Re-Enlightenment. Simultaneously, we use observations from the Anthropocene to expose limitations in present institutional theory and propose extensions to remedy them. Overall, this article challenges organizational scholars to consider a new paradigm under which research in environmental sustainability and social sustainability takes place.

scholarly journals A New Approach of Smart Mobility for Heavy Goods Vehicles in Casablanca

2021 ◽  
Author(s):  
Mohammed Mouhcine Maaroufi ◽  
Laila Stour ◽  
Ali Agoumi
Keyword(s):  
Environmental Sustainability ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Smart Cities ◽  
Research Work ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Smart Mobility ◽  
Heavy Goods Vehicles

Managing mobility, both of people and goods, in cities is a thorny issue. The travel needs of urban populations are increasing and put pressure on transport infrastructure. The Moroccan cities are no exception and will struggle, in the short term, to respond to the challenges of the acceleration of the phenomenon of urbanization and the increase in demand for mobility. This will inevitably prevent them from turning into smart cities. The term smart certainly alludes to better use of technologies, but smart mobility is also defined as “a set of coordinated actions intended to improve the efficiency, effectiveness and environmental sustainability of cities” [1]. The term mobility highlights the preponderance of humans over infrastructure and vehicles. Faced with traffic congestion, the solutions currently adopted which consist of fitting out and widening the infrastructures, only encourage more trips and report the problem with more critical consequences. It is true that beyond a certain density of traffic, even Intelligent Transport Systems (ITS) are not useful. The concept of dynamic lane management or Advanced Traffic Management (ATM) opens up new perspectives. Its objective is to manage and optimize road traffic in a variable manner, in space and in time. This article is a summary of the development of a road infrastructure dedicated to Heavy Goods Vehicles (HGV), the first of its kind in Morocco. It aims to avoid the discomfort caused by trucks in the urban road network of the city of Casablanca. This research work is an opportunity to reflect on the introduction of ITS and ATM to ensure optimal use of existing infrastructure before embarking on heavy and irreversible infrastructure projects.

scholarly journals Przyszłość systemów rejestracji nieruchomości wobec rozwoju inteligentnych technologii. Wybrane problemy prawne na tle wniosków z konferencji „Common Vision Conference 2016. Migration to a Smart World”, Amsterdam, 5–7 czerwca 2016 roku

2017 ◽  
Vol 15 (2) ◽  
pp. 301-320
Author(s):  
Maria Kaczorowska
Keyword(s):  
Spatial Data ◽  
Data Exchange ◽  
Spatial Information ◽  
Smart Cities ◽  
Information Service ◽  
Advanced Technology ◽  
Technological Advancement ◽  
Land Registration ◽  
The Impact ◽  
Common Vision

The development of information technologies offers new possibilities of use of information collected in public registers, such as land registers and cadastres, which play a significant role in establishing the infrastructure for spatial information. Efficient use of spatial information systems with the purpose of a sustainable land management shall be based on en suring the interconnection of different information resources, data exchange, as well as a broad access to data. The role of land registration systems in the context of technological advancement was the subject of the Common Vision Conference 2016. Migration to a Smart World, held on 5–7 June 2016 in Amsterdam. The conference was organized by Europe’s five leading mapping, cadastre and land registry associations, cooperating within a “Common Vision” agreement: EuroGeographics, Permanent Committee on Cadastre, European Land Registries Association, European Land Information Service and Council of European Geodetic Surveyors. The discussion during the conference focused on topics regarding the idea of smart cities, marine cadastre, interoperability of spatial data, as well as the impact of land registers and cadastres on creating the infrastructure for spatial information and developing e-government, at both national and European levels. The paper aims to present an overview of issues covered by the conference and also to highlight some important problems arising from implementing advanced technology solutions in the field of land registration.

Accounting for Noise Pollution in Planning of Smart Cities

2016 ◽  
pp. 149-196 ◽  
Author(s):  
A.W.A. Hammad ◽  
A. Akbarnezhad ◽  
D. Rey
Keyword(s):  
Urban Planning ◽  
Environmental Sustainability ◽  
Urban Areas ◽  
Smart Cities ◽  
Noise Pollution ◽  
Urban Setting ◽  
Pollution Level ◽  
The Social ◽  
Urban Planning And Development ◽  
The Impact

The incorporation of sustainable design measures in urban planning and development has been steadily increasing in the recent years. Achieving a sustainable urban environment requires accounting for the economic, environmental and social impacts of the development involved. An important factor affecting the social and environmental sustainability of urbanised areas which is commonly overlooked in urban planning is the noise pollution level. Despite the proven impacts of noise pollution on the general wellbeing of individuals within an urban setting, there remains a lack of systematic methods to integrate the impact of noise within the design of urban areas. This chapter seeks to raise awareness of the issue of noise pollution in urban settings while proposing novel approaches for its incorporation as a design parameter in planning the layout of smart cities.

Smart cities and smart tourism in cities

2021 ◽  
pp. 221-247
Author(s):  
Alastair M. Morrison ◽  
Cristina Maxim
Keyword(s):  
Smart Cities ◽  
Smart Tourism

Analytical Technology Tools Against Corruption and Internal Frauds

2021 ◽  
pp. 269-288
Author(s):  
Rafael Velasquez Saavedra Silva ◽  
Matheus Felipe Saavedra da Silva
Keyword(s):  
Social Inequality ◽  
Organized Crime ◽  
Growth And Development ◽  
Advanced Technology ◽  
Criminal Investigation ◽  
Digital Evidence ◽  
Technological Innovations ◽  
Individual Rights ◽  
Analytical Technology ◽  
New Procedures

In Brazil, organized crime, unfortunately, finds a fertile field that allows its growth and development due to several different aspects. Also, the vast and continental dimension of the Brazilian territory, the evident social inequality, and in many cases, the lack of synergy and collaboration among municipal, provincial, and federal levels are problems. It is important to mention that, in recent times, via its main institutions—executive, legislative, and judiciary—Brazil has been organizing itself and trying to tackle corruption on different fronts, with the use of advanced technology, new procedures of criminal investigation, an increased collaboration between different players and internal cooperation, the celerity in the process of penal persecution, and the revision of laws related to the theme. This chapter aims at displaying technological innovations that have helped law enforcement to act with rigor, speed, and assertiveness in the production of evidence from digital evidence, while respecting the Brazilian Constitution, individual rights, and guarantees of every citizen.

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