Very fortunate to have a few days here to share with you the wisdom of our cities and urban data operations experience.


Our urban planners are more offbeat roles, our data belonging to big data "Fudge pie," but we believe that the wisdom of the city should be the application of information technology to solve urban problems, rather urban planners is knowledge integration in various disciplines to solve social problems, coupled with the wisdom of the city is a big data technology system.


In practice, we create a data-centric application of the concept of smart city, including the city's perception of data, data analysis, data structures and data operations these parts.


Smart City in the top-level design, should be to help the government how to build an ecosystem. Without this link, we can not get the data we need, the basic principles of the data plan is problem-oriented, data-centric, including the discovery and solve problems the two links.


We believe in different cities and regions in different stages of development, facing different problems, so the organization construction is to solve problems and provide different solutions.


We do a lot of work in the following areas, first public packet data, public data and public participation, to build a complete set of technology platforms, including APP, as well as networking equipment and the like.


We also set up personal information in a similar data platform, here is a sample of private ownership of property rights for new data platform, we can show three-dimensional digital sandbox.


Finally, based on the above set of ecosystem data collection may have a large amount of new data and traditional data together, our data tools, you can do something, find some problems.


Case 1: Shanghai Urban signs data cloud platform


The new data environment has brought new opportunities and new applications. I want to introduce the first case, the signs in Shanghai Data Cloud platform. Strategic cooperation is based on the idea of ​​urban design laboratory, as well as Peking and Shanghai Information Center Qinghua scale, etc., try to develop the city's ecological data platform.


Shanghai municipal government on planning and implementation of the data, both in the new platform inside. We now have a lot of data, including location data services provided (LBS) data as behavioral data, etc., all these data together to form a new platform.


Among this system, you can use various means of vertical data analysis of Shanghai land running status and so that various evaluation and analysis, analysis of existing land, the activities and residence time characteristics, and so on ecological indicators.


Based on these, we can set a new city vital signs evaluation system, this system is based on new data, it can be perceived in the space inside the case, to provide real-time diagnostics to run in real time in our city.


Case 2: Beijing six-ring of the urban fringe


Another case is the "six-membered ring, a ring more rings than you."


This song must have a lot of people know, five or six ring region is the artist to do art. This area has what characteristic? Living in Beijing who may know, here is the Beijing urban fringe, we gathered a large and diverse population, and urban planning is very confusing.


Here we see the left, map of the city of Beijing, bears a lot of data - can be said that these data hidden inside a Beijing, the richest and the poorest people live in this area. And there is little way to know how many people live here, in the end, and really what happened.


Every time I go to research, ask the director of Beijing street where a number of people, the answer such as "Our statistics are 10 million people," but the next sentence he would say: "I estimate there are 30 million people in this place. "Thus, the government's lack mastery of urban reality, there is relatively difficult to fly out of urban policy.


We now have a large Beijing very large data, we can also do dynamic city very in-depth understanding, we would like to know in this fringe area of ​​Beijing six-ring, and in the end what happened.


This is based on our different states of the phone, rental and public transport and other several sets of data, obtained through different combinations of data.


Weekdays, travel in two directions: a direction informal employment, migrants, or from rural informal employment, as well as a direction is traditionally considered highly educated population from the Zhongguancun West employment.


Data observed by people living here, they work longer, 21 pm to 24 points is to return to the main residence period.


At the same time I observed them a weekend break, the state is rendered relatively monotonous.


Tsinghua University doctoral student also place a very thorough investigation, with some findings: people who live here, their daily commuting distance than Beijing residents commuting distance a little shorter, and the lower the degree, then, commuting distance then the closer.


What kind of data found another Beijing? Size and composition of urban fringe villages of the resident population is how? Professional identity of the resident population and constitute daily life status? How new data become part of the urban think tank?


In particular, I feel that we also need to focus on traditional planning groups in neglected urban fringe, the lack of statistical data and highly dynamic region to fine description, multidimensional multi-source data fusion, to provide support for urban decision-making.