The Deputy Mayor of New York City under Bloomberg and Google are launching a new initiative, presumably for cities in the developed economies, that will take an approach different from the sensor-intensive centralized models promoted by IBM and the like, according to NYT: Major technology companies, like IBM and Cisco, already have large businesses that apply information technology, to improving the efficiency of cities. IBM has used its researchers and technical prowess in projects like traffic management in Stockholm and microlevel weather forecasting to predict the location of life-threatening mudslides in Rio de Janeiro. Sidewalk Labs, Mr. Doctoroff said, planned to work in “the huge space between civic hackers and traditional big technology companies.” While big technology companies take a “top-down approach and seek to embed themselves in a city’s infrastructure,” he said Sidewalk Labs would instead seek to develop “technology platforms that people can plug into” for things like managing energy use or altering commuting habits.
Last year, I was in Dili, Timor Leste, listening to an event on big data that was partially sponsored by SciDev, a respected science communication organization. My recollection is that the speakers were talking about work done by others based on reports. So we were happy to have our research featured in an article in SciDev. The author, Nalaka Gunawardene, attended our presentation at the Sri Lanka Institute of Engineers in January and made further efforts to understand what we were doing. MNBD allows tracking and mapping of daily changes in population densities relative to midnight (‘home location’).
Colombo, the focus of our exploratory work on mobile network big data, is a tiny town by global standards: 550,000 people. But our analyses show that the surrounding area is tightly integrated contributing over 54 percent of the daytime population of the city, but contributing little or nothing to the services the commuters must be provided. A former Mayor once told me that he had thought of using the dormant power of the legislation that established the Colombo Municipal Council to establish tolls at the gates of the city. Appears this is not a problem limited to Colombo. Current debates about the efficiency of urban governance gravitate around the ‘fit’ between the size of the administrative boundary controlled by a city mayor or governor, and the actual number of people who live in the ‘wider functional metropolitan’ area.
Partha Mukhopadhdyaya is an expert on cities, having studied them in multiple countries including China and India. He also happens to serve on our scientific advisory board. Mint carried the first part of an interesting discussion with Partha on cities. When we talk about the insights from big data for cities, we naturally get slotted into the data for “planning” box. But I’ve always been wary about planning and also talk about experimentation using near-real-time and low-cost feedback.
Our own work with big data focuses on cities. This guest editorial in the UN Global Pulse blog provides as excellent rationale for the focus on cities. In addition, it raises some areas for caution. Placing algorithms at the forefront (or even in the front-row seat) of decision-making may have potentially severe drawbacks. It’s indeed us who program algorithms, and we are exposed to a variety mistakes while programming.
I am not sure surveying current smartphone users, especially in countries where smartphone penetration is still low, is the best way to gauge the demand for smart-city services, but it is a useful input. Here are some key findings from an Ericsson study that is available on the web. The report – which surveyed over 9,000 smartphone users in nine cities (including Beijing, Delhi and Tokyo) – found that 76% of respondents would use traffic volume maps, while 70% would use energy usage monitors and 66% would use apps to check water quality. “These are services that consumers will expect cities to make available via the internet,” says Michael Bjorn, Ericsson ConsumerLab’s head of research. Bjorn adds that demand for smart-city services could also drive future concepts such as interactive road navigation, social bike/car sharing, indoor maps, as well as healthcare concepts like heart-rate monitoring rings, posture sensors and a digital health network of medical data accessible by physicians.
Since 2006, when the majority of the world’s population became city-dwellers (can’t use the original term “citizens” because it has now lost its connection to cities), there has been a great deal of interest in understanding these engines of economic growth. Here are some findings from Spain, in the process of being replicated in Asia. The results reveal some fascinating patterns in city structure. For a start, every city undergoes a kind of respiration in which people converge into the center and then withdraw on a daily basis, almost like breathing. And this happens in all cities.
In June I posted some pictures from Shanghai of payphones that had WiFi signs on them. What the Chinese have already done, the City of New York is debating. The most controversial idea seems to be converting the payphone locations (which already have power) into electrical vehicle charging stations. Sri Lanka has a minuscule number of payphones so this is not a big issue, but for Asian countries that are beginning to think about what to do, the first step should be to look at evidence on the question of whether payphones are obsolete. For the second step, with regard to certain cities in certain countries, the NYC process might have some ideas: Given the amount of red tape involved, it could be years before the phone kiosks are repurposed, if the idea is approved.
The Economist talks about how New York and Chicago are using different approaches to the analyze big data generated from within their operations. Sadly, no such activity can be reported from our part of the world. Many cities around the country find themselves in a similar position: they are accumulating data faster than they know what to do with. One approach is to give them to the public. For example, San Francisco, New York, Philadelphia, Boston and Chicago are or soon will be sharing the grades that health inspectors give to restaurants with an online restaurant directory.
When Bill Melody was appearing as an expert witness in the AT&T case back in the 1980s, he used to be assailed about economies of scale that AT&T supposedly enjoyed, which made them per se more efficient than any of the challengers. His answer was not that they did not exist, but that they were overridden by diseconomies of coordination. His conclusion is being supported by two scientists from Santa Fe Institute. The discussion of corporations comes at the end of a fascinating article on the laws governing cities in the NYT. This raises the obvious question: Why are corporations so fleeting?