Observation Summary The quantitative observations are then being summarized for each location with comparable measures i.e., pedestrian/ hour and urban quality. These measures are taken to see the relationship between the two measures – whether the liveliest space have good qualities of urban space and vice versa. Based on the observation, (1) the street segment which have the highest amount of pedestrian/hour is one particular street in the Hanoi 2700 city centre (the French Quarter). This is quite unexpected as it is expected that Hanoi R800 (pedestrian oriented) city centre (the Old Quarter) will be the liveliest among the 6 observed places. However, (2) it is observed that most in average Hanoi R800 city centre is still the liveliest (Figure 32 – top-left & middle-left). The other interesting finding is that (3) one particular street in the Hanoi Rn city centre (Keangnam Tower) has the 6th highest number of pedestrian/hour more than some places in the Hanoi R800 and R2700 city centre while the other streets in Hanoi Rn city centre have really low
rate of pedestrian/hour. It is observed that the reason behind the high rate in that particular place is because of the presence of lobby towers which become the main access for many people going into and outside the site. As for the city centre of the phase 1 of Ecopark, the common results are showing that the pedestrian rate are generally really low in comparison to the pedestrian rate in Hanoi city centres. However, (4) the urban quality in Ecopark city centres are generally good as they are well-designed, well-built, and well-managed. (5) One interesting observation in Ecopark city centre happened in a particular space in which a particular event occurred: Tet-Holiday (Vietnamese New Year) Festival. During this event, it is observed that the pedestrian rate is the 4th highest among all the streets (including Hanoi city centres). This is quite staggering since this particular event can attract so many visitors and become the key of the urban vitality of the area.
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Figure 32.  Observation results
AR3U100 Graduation LAB: Cities for People -of Tomorrow
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