Smart Cities

It seems to me….

Smart cities are those who manage their resources efficiently. Traffic, public services and disaster response should be operated intelligently in order to minimize costs, reduce carbon emissions, and increase performance.” ~ Eduardo Paes[1].

Many cities are experiencing exponential growth as people move from rural areas in search of better jobs and education[2]. The urban population is growing with nearly two-thirds of Americans and 54 percent of the world currently living in cities. And this number is increasing: by 2050 75 percent of the human population will be urban dwellers[3]. Some changes are necessitated as cities are responsible for 70 percent of global carbon dioxide emissions. Urbanization is an issue with which all cities must necessarily deal and many of them are seeking ways to better serve their constituents.

Cities’ services and infrastructures are being stretched to their limits in terms of scalability, environment, and security as they adapt to support population growth. Urban visionaries and planners are seeking to develop a sustainable economy to improve energy efficiency and minimize carbon-emission levels. Along with cities’ growth, innovative solutions are crucial for improving productivity (increasing operational efficiency) and reducing management costs.

While the definition of a smart city remains somewhat imprecise, it basically is an ultra-modern urban area that is addressing the needs of its businesses, institutions, and especially citizens. While the objective of both a smart city and smart urbanism is the same – the life of its citizens – there are primary difference. Historically, architects of ancient cities did not take into consideration long-term scalability; e.g., housing accessibility, sustainable development, transport systems, and growth; there is no scalable resource management that may be applied from one decade to another.

Not every city will have the same goals and needs to become a smart city; the technologies a smart city needs vary based on the region and the country. Considerable planning is necessary as just implementing various technologies simply because they exist is not sufficient. Even if an implementation is successful in one location, it does not guarantee it will be equally successful elsewhere.

Smart city planning is being able to adapt and be significantly more agile than in the past utilizing IoT sensors and technology to connect components across the city to derive data and improve the lives of citizens and visitors. Leveraging advances in smart infrastructure, information, and communications technologies combined with data analytics can help cities as well as energy, water, telecom, and transportation companies meet their goals to becoming “smarter”. If not planned for, there isn’t any way to take advantage of the opportunities afforded by technology, the opportunities that are being revealed through data, and the opportunities afforded by having different city systems work together in a much more interconnected way.

Citizens are demanding more out of their cities than in the past. Not only are cost savings and efficiency important, they’re expecting the same services and opportunities from cities that they receive from leading technology and service providers. An improved customer experience, cost efficiencies, resiliency enhancements, or sustainability improvements are not possible without smarter planning.

Simply inundating smart city projects with data does not work due to access, analytics, availability, and the ability to turn big data into insights. It’s important to break down urban silos so that each department within a city knows on what the other is working. Data also needs to be unconstrained as it moves between systems with due attention to intellectual property, security, and privacy concerns. Privacy issues must balance the need to provide sufficient information to improve service while preserving personal confidentiality.

Data collection and analysis is a key component of a smart city to provide predictive analytics. Sensors, especially IoT sensors, actuators, and technology are necessary to connect components across the city and they impact every layer of a city from under the streets to the air its citizens breath. Examples are support for multi-modal transportation, smart traffic lights, and smart parking as well as overall energy usage using smart grids and smart meters.

The massive amounts of data collected must be quickly analyzed and patterns derived from the collected data. Open data portals are one option that some cities have chosen in order to publish city data online so anyone can access it and use predictive analytics to assess future patterns.

Initiatives are underway in numerous locations in many different countries. Cities across the U.S. have begun to draw on the reams of data at their disposal – about income, burglaries, traffic, fires, illnesses, parking citations… – to tackle many of the problems of urban life. President Obama in 2016 announced a “Smart Cities” federal initiative to research and leverage more than 25 new technology collaborations to help local communities tackle key challenges such as reducing traffic congestion, fighting crime, fostering economic growth, managing the effects of a changing climate, and improving the delivery of city services. Cities are finding more ways to use the considerable amounts of data at their disposal.

Cities are caught between the proverbial rock and a hard spot: most are experiencing substantial budget constraints, unable to adequately maintain schools or infrastructure (water, sewer, transportation…), while attempting to increase operating efficiency by investing in expensive technology without any guarantee of success. They must attempt to plan and implement an integrated solution maximizing the economy, society, environment, and welfare of its communities and that facilitates supporting the shift towards more sustainable behavior among all stakeholders: users, companies, and administration.

The only reasonable way for cities to reduced public spending is to increases their efficiency and quality of services but in addition coping with financial constraints, many also encounter political opposition from departmental Balkanization protecting internal fiefdoms – data and operational silos. Even many constituents accepting the advantages of system implementation seek to delay investment believing current critical priorities must be resolved prior to what they consider to be non-crucial expenditures.

To reap the benefits of the smart cities movement requires the U.S. to get “smart” in more ways than one. At stake is not just greater livability and sustainability but the jobs and investment that accrue to communities at the cutting edge of innovation.

That’s what I think, what about you?

[1] Eduardo da Costa Paes is a Brazilian politician who is the former mayor of the city of Rio de Janeiro.

[2] Khatoun, Rida, and Sherali Zeadally. Smart Cities: Concepts, Architectures, Research Opportunities, Communications of the ACM, August 2016, pp46-57.

[3] Urban Population Growth, World Health Organization (WHO), http://www.who.int/gho/urban_health/situation_trends/urban_population_growth_text/en/.

About lewbornmann

Lewis J. Bornmann has his doctorate in Computer Science. He became a volunteer for the American Red Cross following his retirement from teaching Computer Science, Mathematics, and Information Systems, at Mesa State College in Grand Junction, CO. He previously was on the staff at the University of Wisconsin-Madison campus, Stanford University, and several other universities. Dr. Bornmann has provided emergency assistance in areas devastated by hurricanes, floods, and wildfires. He has responded to emergencies on local Disaster Action Teams (DAT), assisted with Services to Armed Forces (SAF), and taught Disaster Services classes and Health & Safety classes. He and his wife, Barb, are certified operators of the American Red Cross Emergency Communications Response Vehicle (ECRV), a self-contained unit capable of providing satellite-based communications and technology-related assistance at disaster sites. He served on the governing board of a large international professional organization (ACM), was chair of a committee overseeing several hundred worldwide volunteer chapters, helped organize large international conferences, served on numerous technical committees, and presented technical papers at numerous symposiums and conferences. He has numerous Who’s Who citations for his technical and professional contributions and many years of management experience with major corporations including General Electric, Boeing, and as an independent contractor. He was a principal contributor on numerous large technology-related development projects, including having written the Systems Concepts for NASA’s largest supercomputing system at the Ames Research Center in Silicon Valley. With over 40 years of experience in scientific and commercial computer systems management and development, he worked on a wide variety of computer-related systems from small single embedded microprocessor based applications to some of the largest distributed heterogeneous supercomputing systems ever planned.
This entry was posted in Analytics, Barack Hussein Obama II, Carbon Dioxide, Cities, CO2, Communications, Data, Economy, Environment, Illness, Information, Infrastructure, Internet of Things, Internet of Things, IoT, IoT, Obama, Population, Privacy, Security, Sensors, Smart City, Urban, Urbanization and tagged , , , , , , , , , , , , , , , , , , . Bookmark the permalink.

1 Response to Smart Cities

  1. berlioz1935 says:

    Oh, dear! On the face of it, there can be no disagreement with your post. It all sounds so reasonable.

    But the more I think about it I noticed that there is a lot one could argue about. The word “efficiency” always leaves a bad taste in my mouth. Societies that can’t even agree on climate change cannot reach any outcome in their planning that is close to efficiency. Outdated technologies are fighting tooth and nails to survive against modern technologies. Modern cities can’t even plan or built an airport where it is “most” efficient. The democratic process is more a hindrance than a help towards decision-making. The public, political parties and communities all want to have their input in the decision-making process considered. This alone is very inefficient.

    The tendering process for community projects becomes a nightmare and companies form cartels and underquote to get the job. Then it turns out to take longer and the costs are being higher. “Efficiency” becomes a victim of the whole process.

    Mega-Cities are a disaster in waiting. What you are writing about US cities applies to all big cities around the world. Universal education, is that efficient? Universal public transport or fibre optic cables to every dwelling, is that efficient? Is a universal pension scheme more efficient if we could achieve a better, cheaper and cost efficient outcome by providing a freely available euthanasia scheme? I think the word “efficient” is not an objective one, It is in the eye of the beholder. The social outcome of a political decision in the name of efficiency cannot always be gauged.

    On the other hand, if efficiency becomes the cornerstone of all our actions and outcomes we, the human beings, will be mere cogs in the machinery. Where is the reduced public spending going to go? We will be told that we can spend as we wish. But it will end up in the pockets of the rich as profit, with which they create more profits etc, etc… So, it becomes a matter of taxes v profits because we are told the market knows best how to achieve an outcome. To hell with democracy the inefficient, old-fashioned decision-making process. The voters are already turning to undemocratic, populist parties. People are demanding a more efficient (that word again) way of decision-making.

    I prefer the democratic process but we must not expect efficiency from it.

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