41. FINGER ON THE PULSE
Monitoring Health in the City
Chris Smith, Daniele Quercia, Licia Capra
Notas del editor
explain titleshould have included a subtitle
we use the gravity model to study flows of passengers on London’s rail system.extensive network. 588 stations. click for oyster card.oyster cards record the point and time of entry… and link all journeys to a user id, so we can analyse individual travel patterns.stats – 1 month = 77 million journeys by 5 million users between 588 stations.
we use the gravity model to study flows of passengers on London’s rail system.extensive network. 588 stations. click for oyster card.oyster cards record the point and time of entry… and link all journeys to a user id, so we can analyse individual travel patterns.stats – 1 month = 77 million journeys by 5 million users between 588 stations.
we use the gravity model to study flows of passengers on London’s rail system.extensive network. 588 stations. click for oyster card.oyster cards record the point and time of entry… and link all journeys to a user id, so we can analyse individual travel patterns.stats – 1 month = 77 million journeys by 5 million users between 588 stations.
Our proposal is to use AFC data in order to build a well established form of interaction model – the gravity model – to describe the flow of passengers on public transport systems.introduced by Zipf in 1946 – successfully used to help explain flow of humans, goods, information and disease, at inter-city level and above.
[describe diagram] in analogy with Newton’s…click for equation[describe equation] k, alpha, beta, gamma are normally fitted to the particular system being modeled----- Meeting Notes (13/06/2012 16:31) -----add symobols to picture
Our proposal is to use AFC data in order to build a well established form of interaction model – the gravity model – to describe the flow of passengers on public transport systems.introduced by Zipf in 1946 – successfully used to help explain flow of humans, goods, information and disease, at inter-city level and above.
Our proposal is to use AFC data in order to build a well established form of interaction model – the gravity model – to describe the flow of passengers on public transport systems.introduced by Zipf in 1946 – successfully used to help explain flow of humans, goods, information and disease, at inter-city level and above.
Our proposal is to use AFC data in order to build a well established form of interaction model – the gravity model – to describe the flow of passengers on public transport systems.introduced by Zipf in 1946 – successfully used to help explain flow of humans, goods, information and disease, at inter-city level and above.
Our proposal is to use AFC data in order to build a well established form of interaction model – the gravity model – to describe the flow of passengers on public transport systems.introduced by Zipf in 1946 – successfully used to help explain flow of humans, goods, information and disease, at inter-city level and above.
Our proposal is to use AFC data in order to build a well established form of interaction model – the gravity model – to describe the flow of passengers on public transport systems.introduced by Zipf in 1946 – successfully used to help explain flow of humans, goods, information and disease, at inter-city level and above.
Our proposal is to use AFC data in order to build a well established form of interaction model – the gravity model – to describe the flow of passengers on public transport systems.introduced by Zipf in 1946 – successfully used to help explain flow of humans, goods, information and disease, at inter-city level and above.
Our proposal is to use AFC data in order to build a well established form of interaction model – the gravity model – to describe the flow of passengers on public transport systems.introduced by Zipf in 1946 – successfully used to help explain flow of humans, goods, information and disease, at inter-city level and above.
Our proposal is to use AFC data in order to build a well established form of interaction model – the gravity model – to describe the flow of passengers on public transport systems.introduced by Zipf in 1946 – successfully used to help explain flow of humans, goods, information and disease, at inter-city level and above.
Our proposal is to use AFC data in order to build a well established form of interaction model – the gravity model – to describe the flow of passengers on public transport systems.introduced by Zipf in 1946 – successfully used to help explain flow of humans, goods, information and disease, at inter-city level and above.
Our proposal is to use AFC data in order to build a well established form of interaction model – the gravity model – to describe the flow of passengers on public transport systems.introduced by Zipf in 1946 – successfully used to help explain flow of humans, goods, information and disease, at inter-city level and above.
we use the gravity model to study flows of passengers on London’s rail system.extensive network. 588 stations. click for oyster card.oyster cards record the point and time of entry… and link all journeys to a user id, so we can analyse individual travel patterns.stats – 1 month = 77 million journeys by 5 million users between 588 stations.
the world is currently undergoing a massive influx of people into cities.which means that (next slide)
the world is currently undergoing a massive influx of people into cities.which means that (next slide)
the world is currently undergoing a massive influx of people into cities.which means that (next slide)
in particular, transport analysts and planners need to be able to understand and predict passenger flowso far there has been little work on modeling flows on public transport systems in an urban environment, or at the intra-city level.one reason for this may be lack of data, but with adoption of AFC in cities all over the world, this data is now readily available.