Smart cities

16

October

2017

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Currently smart cities are getting more and more popular than ever. Climate change and urbanization are two important reasons why the ‘smart city’ idea raises. (Brandt et al, 2016) We could define a smart city as; a city using smart computing technologies to make the critical infrastructure components and services of a city – which include city administration, education, healthcare, public safety, real estate, transportation and utilities – more intelligent, interconnected and efficient. (Sindhu & Washburn, 2010) People are getting more interacted with this idea and are also willing to participate in these kind of initiatives. A good example is the BuitenBeter application. This is a Dutch application founded in 2010, in order to improve the communication between citizens and municipalities (BuitenBeter, 2017). Nowadays citizens can send complaints and notes with pictures to the municipality about their problem, such as garbages thrown on the street. The citizen takes a picture, sends the location and the municipality will come and fix it. This is just a simple example of the smart city idea.

 

Municipalities and governments are getting more and more conscious about the benefits of information technology that can be used in their cities. Besides that, the sharing economy is also rising up in the last years.

Most of the municipalities use the ‘Smart city initiatives framework’ to check whether their initiative will fit in this framework and if it will be a successful initiative. (Chourabi et al., 2012) Organization, policy and technology are highly influential inner factors in the smart city initiative. People communities, economy, built infrastructure, natural environment and governance are a set of outer factors that play a role. Municipalities and governments need to consider about these factors before starting with a new initiative.

Chourabi et al. Smart city framework

A pretty nice example that fits in this Smart city framework is the Studentcar rental example. They use IT to make sure that students can find and rent their cars and they provide their cars to share it with other people. (Studentcar, 2017) In this way they are contributing in the transportation of people within Rotterdam. I think that this is the very first step to a bigger sharing economy in innovative cities. Nowadays we also see other initiatives to share commonly used things like bicycles (Swapfiets), Wi-Fi (Fon) etc. So there are enough smart city initiatives, but not enough contributors. Personally I think that the main reason behind this low participation is that it is not known by everyone yet and there is a lack of trustworthiness. But these are problems that will be solved by time. What are your ideas, thoughts or experiences about smart cities?

 

References

Brandt, T., Donnellan, B., Ketter, W., & Watson, R. T. (2016). Information Systems and Smarter Cities: Towards an Integrative Framework and a Research Agenda for the Discipline. In AIS Pre-ICIS Workshop-ISCA 2016.

 

Chourabi, H., Nam, T., Walker, S., Gil-Garcia, J. R., Mellouli, S., Nahon, K., Pardo, T. A., and Scholl, H. J. 2012. “Understanding Smart Cities: An Integrative Framework,” in Proceedings of the 45th Hawaii International Conference on System Sciences, IEEE, pp. 2289–2297.

Washburn, D., Sindhu, U., Balaouras, S., Dines, R. A., Hayes, N., & Nelson, L. E. (2009). Helping CIOs understand “smart city” initiatives. Growth, 17(2), 1-17.

 

Anonymous (2017) Over BuitenBeter, retrieved from BuitenBeter: http://www.buitenbeter.nl/over-buitenbeter

 

Anonymous (2017) Zo werkt het, retrieved from Studentcar: http://www.studentcar.nl/inschrijven/

 

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The hardest workers of Alibaba; the Zhu Que.

16

October

2017

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Alibaba, the world largest online retailer has introduced their new robots for their 3000 m2 warehouse in July 2017. Alibaba has purchased 60 robots from Quicktron, the manufacturer of the Zhu Que. According to Quicktron these robots have helped the warehouse to threefold their output in just a few months. In addition, they already have replaced 70% of their work. (BRON – APA) The robots can lift up 500 to 600 kilos and they allocate the right products to employees, who pack them to send it to customers. The robots receive instructions via Wi-Fi and there are integrated with lasers so that they do not collide into each other (Businessinsider, 2017).

 

These kind of innovations bring up the discussion about machines replacing humans. According to McKinsey, there is a high risk of robot takeover if the job pays less than 20$ per hour (McKinsey, 2016). Furthermore, the researchers say that the feasibility of automation is around 78 percent for jobs which involve predictable physical activities, such as food preparation. The robots will take over the simple jobs, which are mostly time consuming and heavy jobs. Therefore, these kind of robots are very attractive to employers, because it will cost them less money. Besides that, they can make more money, because of the fact that the employer can go for higher margins or they can decide to lower their prices, which will again lead to a higher demand. That is simply the supply and demand theory (Kirzner, 2000)

Robots are not only very useful and attractive in these sectors, they are also desirable in other sectors such as the health sector. (Peng & Stumpe, 2017) According to these researchers, a robot did a better job than pathologists in detecting cancer.

 

All in all, the Zhu Que’s and the cancer detecting robots are very helpful for us, but there is also another side of the discussion: the people who will lose their job. What will they do afterwards? Do they need to find a new job or even in some cases a new hobby?

 

In dit slimme magazijn van Alibaba doen robots 70% van het werk

 

Anonymous (2017, September 19) In dit slimme magazijn van Alibaba doen robots 70% van het werk, retrieved from Business Insider Nederland: https://www.businessinsider.nl/inside-alibaba-smart-warehouse-robots-70-per-cent-work-technology-logistics-2017-9/?international=true&r=UK

 

Chui, M., Manyika, J. & Miremadi, M. (2016, July) Where machines could replace humans – and where they can’t (yet), retrieved from McKinsey & Company:

https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/where-machines-could-replace-humans-and-where-they-cant-yet

 

Kirzner, I.M. (2000, January 1) The law of supply and demand, retrieved from Foundation for economic education: https://fee.org/articles/the-law-of-supply-and-demand/

 

Peng, L. & Stumpe, M.(2017, March 3) Assisting pathologists in detecting cancer with deep learning (blog post, retrieved from Google Research blog: https://research.googleblog.com/2017/03/assisting-pathologists-in-detecting.html

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