City Data Analytics: Modes of Travel & Commuter Walking Times | The Road Ahead: Reimagining Mobility



walkable London City data analytics mode of travel a color-coded map of Greater London shows the percentage of an area's workday population that arrives by train in general the closer to the core the higher the percentage when the mode of travel is the underground the highest percentage shifts to Oxford Circus another map shows the percentage of the population that arrives in an area by foot the percentages illustrated by gradated color are dramatically lower when the map shows the percentage who arrived by bicycle the usage remains low especially far from the core the color-coded map of Greater London now shows the percentage of an area's residential population that departs by train which is universally low higher usage is evident when the mode of travel is the underground network especially in the outer areas to the west more people depart by foot in the City of London proper than anywhere else in the region residential departure by bicycle is relatively low though slightly higher in areas to the northeast commuter walking times on a dark map of central London Underground and rail stations are identified walkable distance is blossom from the stations according to an accelerated timer illustrating the statement that 95% of central London can be reached within a 15-minute walk from the nearest station when a proposed pedestrian network is added to the map walking times are reduced data visualization by habit datum

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