Smart sustainable cities : case study Südwestfalen Germany

The transformation of society into sustainable structures is one of the most important tasks for the future. That cities have a decisive role to play in this transformation process has been known at least since Rio 1992. They have enormous pressure to act for change: They are at the same time problem and solution for sustainable development. Currently there is another significant development for cities - the need and external pressure to be "smart", often understood merely as applying the latest digital technologies to become more efficient. The Smart City and the Sustainable City can work hand in hand or hinder each other, depending on their interpretation. In this study we focus on five Smart Cities in Western Germany to get a closer look at how they shape their processes and whether the underlying motivation is to become a technologically Smart City, focus on sustainable development, or both. With the help of the innovation biography research method, we show how cities shape the dynamic process towards forming a Smart City, the role sustainable urban development plays in the process, who the actors involved are, and the important role improved knowledge management then plays for the diffusion of the Smart Sustainable City within the region. It becomes clear how important communication and narratives are both in the process within each City towards forming a Smart Sustainable City and for the first step of diffusion, the adaptation of other cities within the region. This study is intended to serve both as a basis for cross-regional consideration and dialogue for the transfer of successful processes

Trends in Smart City Development

This report examines the meanings and practices associated with the term 'smart cities.' Smart city initiatives involve three components: information and communication technologies (ICTs) that generate and aggregate data; analytical tools which convert that data into usable information; and organizational structures that encourage collaboration, innovation, and the application of that information to solve public problems

The Future Smart-City: An Analysis of the Effects of Global and Technological Innovation on the Evolution of Economic Systems

In 21st century, the current economy is rapidly utilizing globalization to create a vastly different future. With the advent of new technology merging with entrepreneurs who effectively utilize that technology, the economic model is changing. Faster, sleeker, more effective forms of communication and information transfer drive the process of globalization. Production for a single product can happen in multiple countries, companies can operate virtually 24/7 through call centers halfway around the globe, and preliminary smart cities are beginning to emerge to give us a glimpse of the future world. A new category of businesspersons called “prosumers” is emerging and has created a new sharing and soon-to-be self-service economic structure. Analysis of the two drivers of economic change—globalization and technological innovation—will reveal how close civilization is to the city of the future

Smart Cities: Towards a New Citizenship Regime? A Discourse Analysis of the British Smart City Standard

Growing practice interest in smart cities has led to calls for a less technology-oriented and more citizen-centric approach. In response, this articles investigates the citizenship mode promulgated by the smart city standard of the British Standards Institution. The analysis uses the concept of citizenship regime and a mixture of quantitative and qualitative methods to discern key discursive frames defining the smart city and the particular citizenship dimensions brought into play. The results confirm an explicit citizenship rationale guiding the smart city (standard), although this displays some substantive shortcomings and contradictions. The article concludes with recommendations for both further theory and practice development

Bay Area Smart Growth Scorecard

The Bay Area Smart Growth Scorecard is a landmark assessment of the planning policies of all 110 cities and counties of the San Francisco Bay Area.Although a city's current development is apparent to anyone who visits it, the policies that guide a city's future development are not so obvious. The Smart Growth Scorecard provides the first view into these policies and the first comparison among them.The Smart Growth Scorecard evaluated 101 cities in seven policy areas:preventing sprawl; making sure parks are nearby; creating homes people can afford; encouraging a mix of uses; encouraging density in the right places; requiring less land for parking; defining standards for good development. On average, Bay Area cities scored 34% (of a possible 100%), meaning cities are doing only a third of what they could be to achieve smart growth.The Smart Growth Scorecard evaluated eight counties (San Francisco is treated as a city) in five policy areas:managing growth; permanently protecting open space; preserving agricultural land; conserving natural resources; and offering transportation choices. On average, Bay Area counties scored 51%.The scores are low overall. But in every policy area, at least one city or county is doing well, whether it is a city that is encouraging walkable neighborhoods, or a county that is preserving its agricultural land. The Association of Bay Area Governments estimates that Bay Area will have one million additional residents by 2020; the Smart Growth Scorecard evaluates how well all the region's jurisdictions are planning for that growth, and how they can do better

Applications of Fog Computing in Video Streaming

The purpose of this paper is to show the viability of fog computing in the area of video streaming in vehicles. With the rise of autonomous vehicles, there needs to be a viable entertainment option for users. The cloud fails to address these options due to latency problems experienced during high internet traffic. To improve video streaming speeds, fog computing seems to be the best option. Fog computing brings the cloud closer to the user through the use of intermediary devices known as fog nodes. It does not attempt to replace the cloud but improve the cloud by allowing faster upload and download of information. This paper explores two algorithms that would work well with vehicles and video streaming. This is simulated using a Java application, and then graphically represented. The results showed that the simulation was an accurate model and that the best algorithm for request history maintenance was the variable model

A three-dimensional model of residential energy consumer archetypes for local energy policy design in the UK

This paper reviews major studies in three traditional lines of research in residential energy consumption in the UK, i.e. economic/infrastructure, behaviour, and load profiling. Based on the review the paper proposes a three-dimensional model for archetyping residential energy consumers in the UK by considering property energy efficiency levels, the greenness of household behaviour of using energy, and the duration of property daytime occupancy. With the proposed model, eight archetypes of residential energy consumers in the UK have been identified. They are: pioneer greens, follower greens, concerned greens, home stayers, unconscientious wasters, regular wasters, daytime wasters, and disengaged wasters. Using a case study, these archetypes of residential energy consumers demonstrate the robustness of the 3-D model in aiding local energy policy/intervention design in the UK

Eras of electric vehicles: electric mobility on the Verge. Focus Attention Scale

Daily or casual passenger vehicles in cities have negative burden on our finite world. Transport sector has been one of the main contributors to air pollution and energy depletion. Providing alternative means of transport is a promising strategy perceived by motor manufacturers and researchers. The paper presents the battery electric vehicles-BEVs bibliography that starts with the early eras of invention up till 2015 outlook. It gives a broad overview of BEV market and its technology in a chronological classification while sheds light on the stakeholders’ focus attentions in each stage, the so called, Focus-Attention-Scale-FAS. The attention given in each era is projected and parsed in a scale graph, which varies between micro, meso, and macro-scale. BEV-system is on the verge of experiencing massive growth; however, the system entails a variety of substantial challenges. Observations show the main issues of BEVsystem that require more attention followed by the authors’ recommendations towards an emerging market