MIT Senseable City Lab and the World Economic Forum's Global Future Council on Cities and Urbanization are hosting a conference next month on the impact that artificial intelligence is having on our cities. Here is a summary of the event:
As AI (Artificial Intelligence) becomes ubiquitous, it transforms many aspects of the environment we live in. In cities, AI is opening up a new era of an endlessly reconfigurable environment. Empowered by robust computers and elegant algorithms that can handle massive data sets, cities can make more informed decisions and create feedback loops between humans and the urban environment. It is what we call the raise of UI (urban intelligence).
The 2019 Forum on Future Cities, organized by MIT Senseable City Lab and the World Economic Forum's Global Future Council on Cities and Urbanization, will focus on four aspects of the UI transformation: autonomous vehicles, ubiquitous data collection, advanced data analytics, and governing innovation. Panelists include mayors, academics, senior industry leaders and members of civil society to explore such topics from different points of view, highlighting the scientific and technological challenges, the critical collective decisions we as a society will have to make, and the exciting possibilities ahead.
MIT Senseable City Lab and the World Economic Forum's Global Future Council on Cities and Urbanization are hosting a conference next month on the impact that artificial intelligence is having on our cities. Here is a summary of the event:
As AI (Artificial Intelligence) becomes ubiquitous, it transforms many aspects of the environment we live in. In cities, AI is opening up a new era of an endlessly reconfigurable environment. Empowered by robust computers and elegant algorithms that can handle massive data sets, cities can make more informed decisions and create feedback loops between humans and the urban environment. It is what we call the raise of UI (urban intelligence).
The 2019 Forum on Future Cities, organized by MIT Senseable City Lab and the World Economic Forum's Global Future Council on Cities and Urbanization, will focus on four aspects of the UI transformation: autonomous vehicles, ubiquitous data collection, advanced data analytics, and governing innovation. Panelists include mayors, academics, senior industry leaders and members of civil society to explore such topics from different points of view, highlighting the scientific and technological challenges, the critical collective decisions we as a society will have to make, and the exciting possibilities ahead.
The forum takes place on April 12th in Cambridge, Massachusetts. And since it looks to deal with many of the topics that we talk about on this blog, I figured that some of you might be interested in attending. If so, you can register here.
There are 614,387 bridges in the United States and 55,707 of them are thought to be structurally deficient according to the US Department of Transportation (2016). About 188 million people cross “a deficient bridge” every day in the US (also a 2016 figure).
Inspections are often infrequent and only visual, and so MIT Senseable City Lab is currently on a mission to come up with a more scientific approach. They believe that there’s a solution in crowd-sourced data and that it’s possible to create a community-driven maintenance program.
What they discovered through a recent study, called Good Vibrations, is that mobile phone sensors can actually pick up the natural vibrations and oscillations of a bridge. And, that a mobile sensor located within a traveling car is actually 120x more precise than fixed sensors located on the bridge.
Part of the problem is that fixed sensors have poor spatial coverage. They are located in specific locations. Whereas mobile sensors give you data across the entire span of the bridge as someone crosses it. And if you know how a bridge normally vibrates, you can quickly tell when something is off.
There’s a significant amount of downward pressure on parking supply in most major cities. Part of this has to do with the push toward more sustainable forms of transport, which is, of course, a good thing. But it also has to do with rising construction costs, the fear of obsolescence in the wake of autonomous vehicles, and probably many other factors.
Developers, ourselves included, have responded by being cautious about the amount of parking being provided and by considering alternative future uses for the parking that is being built. I think it is also obvious that we will continue to see more, rather than less, parking stackers and other more efficient parking solutions.
So far the cost of parking in dense urban centers has continued to rise. A new parking spot in the core of Toronto priced at $100,000 would not surprise me. And Hong Kong recently set a record for what is allegedly
The forum takes place on April 12th in Cambridge, Massachusetts. And since it looks to deal with many of the topics that we talk about on this blog, I figured that some of you might be interested in attending. If so, you can register here.
There are 614,387 bridges in the United States and 55,707 of them are thought to be structurally deficient according to the US Department of Transportation (2016). About 188 million people cross “a deficient bridge” every day in the US (also a 2016 figure).
Inspections are often infrequent and only visual, and so MIT Senseable City Lab is currently on a mission to come up with a more scientific approach. They believe that there’s a solution in crowd-sourced data and that it’s possible to create a community-driven maintenance program.
What they discovered through a recent study, called Good Vibrations, is that mobile phone sensors can actually pick up the natural vibrations and oscillations of a bridge. And, that a mobile sensor located within a traveling car is actually 120x more precise than fixed sensors located on the bridge.
Part of the problem is that fixed sensors have poor spatial coverage. They are located in specific locations. Whereas mobile sensors give you data across the entire span of the bridge as someone crosses it. And if you know how a bridge normally vibrates, you can quickly tell when something is off.
There’s a significant amount of downward pressure on parking supply in most major cities. Part of this has to do with the push toward more sustainable forms of transport, which is, of course, a good thing. But it also has to do with rising construction costs, the fear of obsolescence in the wake of autonomous vehicles, and probably many other factors.
Developers, ourselves included, have responded by being cautious about the amount of parking being provided and by considering alternative future uses for the parking that is being built. I think it is also obvious that we will continue to see more, rather than less, parking stackers and other more efficient parking solutions.
So far the cost of parking in dense urban centers has continued to rise. A new parking spot in the core of Toronto priced at $100,000 would not surprise me. And Hong Kong recently set a record for what is allegedly
Researchers at the Singapore - MIT Alliance for Research and Technology and MIT Senseable City Lab, along with Allianz, have recently tried to quantify what the impact of autonomous vehicles will mean on required parking, and on traffic, in Singapore. The study is called Unparking.
Today, they estimate the total number of parking spots in Singapore to be around 1,370,000. This is based on minimum parking requirements from the Housing Development Board and on the idea that home-work commuting consumes two parking spots: one at home and one at the office.
They model four different scenarios, but the last one is based on fully autonomous vehicles and on shared parking spaces. Holding current mobility demands and traffic volumes constant, the demand for parking in this scenario drops by 70%.
It is possible to reduce the number of parking spaces even further to 85%, but this has a negative impact on traffic congestion in their model. Fewer parking spaces means the autonomous vehicles have to drive around more picking people up.
I also don’t know if there was any consideration given to induced demand as a result of the more affordable autonomous vehicles. Demand for transportation services is generally thought to be fairly elastic.
Whatever the case may be, numbers are made to be questioned. And Singapore is a unique city-state. But ¼ the amount of parking does not seem that far fetched to me.
Researchers at the Singapore - MIT Alliance for Research and Technology and MIT Senseable City Lab, along with Allianz, have recently tried to quantify what the impact of autonomous vehicles will mean on required parking, and on traffic, in Singapore. The study is called Unparking.
Today, they estimate the total number of parking spots in Singapore to be around 1,370,000. This is based on minimum parking requirements from the Housing Development Board and on the idea that home-work commuting consumes two parking spots: one at home and one at the office.
They model four different scenarios, but the last one is based on fully autonomous vehicles and on shared parking spaces. Holding current mobility demands and traffic volumes constant, the demand for parking in this scenario drops by 70%.
It is possible to reduce the number of parking spaces even further to 85%, but this has a negative impact on traffic congestion in their model. Fewer parking spaces means the autonomous vehicles have to drive around more picking people up.
I also don’t know if there was any consideration given to induced demand as a result of the more affordable autonomous vehicles. Demand for transportation services is generally thought to be fairly elastic.
Whatever the case may be, numbers are made to be questioned. And Singapore is a unique city-state. But ¼ the amount of parking does not seem that far fetched to me.
