Uploaded on 2016-11-24 by HeikeLob

1. Access to public transportation system at a metro station is controlled by a gate which opens only when scanning an electronic chip card for entrance The card-holder scans the card in order to proceed through the gate for entering the public transportation system at a metro station Green light flashes in order to proceed. Passenger can enter. 2. Invisible information can be collected from data available on holders card which might include name, birth date, address, amount charged to card, date and time when using card to enter public transportation anywhere in town. Data collected can be used as invisible information as it allows to track the frequency of passengers at certain daytime, at a certain weekday and certain station and can be related to a specific profile saved on the card itself which might provide information about age or usage frequency throughout the whole calendar year. Data collected from several passengers and related to each other might provide information about: - How many passengers use a certain metro train in a specific time of the day/on a specific weekday/specific months only (e.g. higher frequency in winter) which helps to adjust train length accordingly - How attractive is the public transportation to cardholder specific profile (e.g. age group, gender, etc) which might help to address specific card holders (e.g. adjusting seat availability in case of large number of elder passengers 3. Invisible information from passenger flows on public transportation can help to improve planning of future transportation systems, e.g. if tracked passenger currently has to switch several times from train to bus it indicates that some of the areas of a city are currently not connected most efficient. Invisible information gathered from tracking passenger flows might help to analyze certain routes. Attractive living areas will show high frequency of morning passengers and less during the day – whereas business areas will show higher frequency on later during the day and less in the morning. It might help to analyze attractiveness of certain city areas according age group entering public transportation at certain time of day or certain day of week. When relating the passenger profile with the passenger flows by station, it can help to improve future public transportation planning and might help to improve attractiveness of certain city areas by improving the transportation routes.