10.11.2021 Aufrufe

urbanLab Magazin 2021 - Transformation

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Interactive model and second screen in the background<br />

with all three parameters can estimate<br />

the number of cars of the incomplete<br />

dataset.<br />

In this case, a travel survey with activity<br />

tables and types of people is used<br />

to train a network that later splits the<br />

social media users into different groups<br />

of citizens according to their activity<br />

patterns. These profiles are then used<br />

to populate the model, with the use of<br />

social media working as a form of early<br />

user participation, for allowing planners<br />

to use a bigger and more updated set of<br />

citizen’s data than traditional surveys,<br />

while of course respecting the privacy<br />

of the social media users, who are kept<br />

anonymous.<br />

2 AGENTS<br />

Agent-based models (ABMs) are used<br />

in multiple fields to simulate complex<br />

systems through a set of independent<br />

agents that follow certain rules and react<br />

on an environment. In urban planning,<br />

activity-based travel demand<br />

models (ABTDM) are used to estimate<br />

the demand for travel in a region and<br />

the resulting performance of the transportation<br />

system, according to different<br />

scenarios and policy, economic,<br />

demographic or land use changes, as<br />

defined by Castiglione et. al (2014) in<br />

“Activity-Based Travel Demand Models:<br />

A Primer”. They also define the focus of<br />

these models as “whether, when, and<br />

where to participate in activities and for<br />

how long. Travel is a derived demand<br />

resulting from the need for people to<br />

engage in activities outside the home”.<br />

This need for travelling and engaging<br />

in activities has also been connected<br />

to quality of urban spaces. In “Life Between<br />

Buildings”, Gehl (1987) writes that<br />

in public spaces of poor quality, people<br />

only pass by on the way to necessary<br />

activities that they must do, like going to<br />

work or shopping. On the other hand, if<br />

the public space is of good quality, people<br />

start engaging in more optional activities,<br />

such as taking a walk or sitting on<br />

a bench. People attract more people,<br />

and so social activities, that result from<br />

the presence of others, such as just<br />

watching people passing by, also arise.<br />

Jane Jacobs (1961), in “The Death and<br />

Life of Great American Cities”, connects<br />

urban vitality to diversity in the built<br />

environment. For an urban space to be<br />

successful and safe, a diversity of people<br />

should pass by it, with different purposes,<br />

and in different times of the day.<br />

Based on these theories, an ABTDM is<br />

used to measure the urban vitality of<br />

the public spaces in the district, based<br />

on the activity and travelling patterns<br />

of the population, which were already<br />

described.<br />

Using the Shannon entropy index, a formula<br />

used to calculate diversity as part<br />

of the communication theory (Shannon,<br />

1948), it is possible to measure different<br />

132 STUDENT IDEAS

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