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MAA 10-11

Introductory Design Studio_Barcelona 0 Emissions

Neighborhood: Students:

Team: Vicente Guallart, Willy Muller, Marta Malé, Lluis Viu, Jordi Pages, Areti Markopoulou, Tomas Diez Model Advisor: Marco Galofaro

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4_ methodology

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4.1_ first attempt

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In our first attempt, we research on neighborhood´s data flows of Internet. Who are the consumers and producers of information and traffic volumes of data in each neighborhood.

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On the other side, have this information allow us understand the network from the quantification of its traffic, in order to reorganize the city and define this hybrid space.

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4.2_ second attempt

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La Guineueta

Les Roquetes La Prosperitat Verdum

The total amount of measure points ascends to 762. We have written small java programs to deal with the big amount of obtained data and converted this raw data into geometry: we have obtained and processed registers for 17.400 networks. The registers we have obtained have the following structure:

1_ context: the barrios LaGuineueta_LaProsperitat_Verdum_LesRoquetes

1. Name of the network 2. Network address (MAC) 3. Encryption (type) 4. Frequency 5. Channel 6. Signal strength

Example inside IAAC building: 2_ zero emissions Key to zero emissions efficiency. 1_ conserve energy. 2_ self generation & storage.

"IAAC",00:1e:c1:ae:d1:c0,[WEP],2462 MHz,Channel 11,-64 dBm "IAAC",00:1e:c1:ae:ba:40,[WEP],2437 MHz,Channel 6,-72 dBm "SpeedTouch629031",00:90:d0:72:4e:c9,[WEP],2462 MHz,Channel 11,-75 dBm "IAAC",00:1e:c1:ae:c3:00,[WEP],2417 MHz,Channel 2,-90 dBm "WLAN_lft07",00:1a:2b:3d:e3:03,[WEP],2422 MHz,Channel 3,-93 dBm "IAAC",00:1e:c1:43:24:00,[WEP],2437 MHz,Channel 6,-93 dBm "JAZZTEL_1A",00:1a:2b:42:d1:d2,[WEP],2462 MHz,Channel 11,-95 dBm "LaviniaTC",00:18:39:0b:f2:1b,[WEP],2462 MHz,Channel 11,-99 dBm

3_ efficient energy managment.

Example of the data we get measuring at the Iaac.

4_ people: uses & habits.

After filtering this registers we have obtained data for 7829 unique networks. This is because a lot of the networks found could be seen from more than one measuring point. We call the number of network nodes seen in every measuring point the intensity of the network, which brings us to the topography shown in the main map. From the name of the network node we have tried to obtain the internet provider. From the encryption type field we have seen if the network is open

3_ digital networks and city hibrid urbanism The emergence of new technologies and information networks force us to rethink the city from the public space. Like the city, the morphology of the public space is variable and mostly defined by the buildings with private character. This resulting space generate networks that link places, neighborhoods and citizens, establishing nodes and connecting roads. These, in time, are moving, mutating and reconfiguring the city and the ways how people moves and relate within it. New technologies create new networks, invisible networks that connect places and people by eliminating the time of transfer costs. The coexistence in the city of physical and digital space is defined as a hybrid. The hybrid is transverse to the public and private, breaks the barrier unit isolated scales generating a network of macro, meso and micro. Thus, an urban node is no longer subject only to its relationship with the next physically connected or what if that extends to a global network, which has gradually been assimilating the differences between physical and digital. Understanding this new urbanism is the first step toward a society and sustainable city, where connectivity and information makes it vital to develop the ideology of sharing and dialogue with the environment. Each place, neighborhood, city, country and continent have something particular to contribute to this global network, this is how we define the conept of globarrización, which is the quality of the neighborhood to be provided to a network, which defines it. We realise that the knowledge that we have about informational networks in the city is very imprecise or non existent. This is why, during the first phase of the studio 1, we have put our efforts in producing a topographical representation of the superficial layer of the internet network, the WiFi network. This is, in fact, the part of the informational network infrastructure that everyone can 'see', but nobody really knows. We have taken a closer look at it and tried to give a picture of the distribution of this network in the open urban public space.

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In order to provide this network cartography we have taken real measures in all over the study area assigned to our group. We have used advanced cell phones that have a WiFi antenna and are able to run a WiFi monitoring program, and have taken a measure of the available networks at every street crossing and every midpoint between crossings. We have also taken measures at singular points that seemed to be of special interest (centres of squares, green areas, etc.).

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4.2.1_ Data acquisition

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After our first attempt, we decided to measure the amounts and intensities of existing wifi signals in the neighborhood, by this way, we would generate a wifi map, wich can allow us to understand the structure of the network.

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After a session with UPC - Departament d'Architectura de Computadors we found that this information does not exist, and if it exist, Internet providers companies keeps it in extreme reserve.

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With this, we wanted to do a conversion from bytes to watts, thus could know how much digital garbage is generating, we can use this data, for example, to cross it to the total volume of physical waste.

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LasRoquetes_LaProsperitat_LaGuineueta_Verdun Anastasia Pistofidou_Jordi Portell_Tomas Vivanco_

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762 measure points 17.400 signals 7.829 unique net-

5_

study cases

5.1_ free network visible network/ lalalab

The Free Network Visible Network project proposes the visibility of the flow of information exchanged via wireless networks connected to the Internet as a means to generate a community that claims the free access to the network and in turn enable intervention in the urban environment as a strategy generation of new meanings in the collective space. It is about how to redefine and revitalize the concept of public space visible connectivity generating networks that blend the physical space to digital space. Through the territorial demarcation of areas with free Internet access via wireless networks and virtual representation of the information flowing through them we aim to emphasize the perception of the city as an entity morphologically active, continuously modified by invisible paths plotted communication technologies.

5.2_ rootzmap mapping internet/ philippe bourcier

While he was surfing at NASA website, he realized they were giving out data sets from satellites. Bourcier saw a lot of potential on the doing some analysis and figuring out ways of working with the data. He started doing some maps of the earth, but then he had the idea of making some maps of the Internet. Some of the produced maps are truly engaging visualizations.This particular map represents the Internet Worldmap as seen from AS8843 - Saitis Networks (CH) Switzerland, on July 10th, 2002.

6_ goals We expect to be able to relate city morphology with the intensity of the WiFi network: see how the number of networks that can be seen from the street relates to density, uses and topography. Obtain relevant information about the city when crossing this data with other layers provided by other groups as well as from extending this research to other neighbourhoods. Some initial ideas on how building and public space morphology affects the transmission/ reflection of radio waves in the studied frequencies. Have enough information in order to make proposals for the optimisation modification or alternate use of the existing network.

7_ provisional conclusions _There is no measuring point in the studied area with no WiFi connectivity. _We have seen a total of 7829 unique nodes. The minimum amount of networks seen is 3 and the maximum is 61. _The city perimeter and isolated points in big green areas show the smallest intensities. _Only the 2,7% of the networks are open. For 33% of the networks we could not determine de provider and 52% of the identified networks are provided by Movistar. _A direct relationship between city morphology an network intensity can be observed but has to be researched in more detail. _A direct relationship between uses and network intensity can be seen but the hegemony of the residential use in the studied neighbourhoods makes it difficult to compare between same densities and different uses. _In order to have conclusions about the behaviour of building and public space morphology, the measurement grid has to be more dense.

internet structure wifi


MAA 10-11

Introductory Design Studio_Barcelona 0 Emissions Team: Vicente Guallart, Willy Muller, Marta MalĂŠ, Lluis Viu, Jordi Pages, Areti Markopoulou, Tomas Diez Model Advisor: Marco Galofaro

Neighborhood: Students:

LasRoquetes_LaProsperitat_LaGuineueta_Verdun Anastasia Pistofidou_Jordi Portell_Tomas Vivanco_

2_wifi topography

1_wifi topography

visualizing digital network

visualizing digital network

height of buildings 12 11 10 wiďŹ intensity

48++ 42 36 30 24 18 12 6

3_superimposing densities 1 apartment =1 network ?

amount of connections

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MAA 10-11

Introductory Design Studio_Barcelona 0 Emissions Team: Vicente Guallart, Willy Muller, Marta Malé, Lluis Viu, Jordi Pages, Areti Markopoulou, Tomas Diez Model Advisor: Marco Galofaro

Neighborhood: Students:

La Guineueta - La Prosperitat- Verdum - Les Roquetes Jordi Portell i Torres - Anastasia Pistofidou - Tomás Vivanco Larrain

4_ case study relation between the city and the wifi network. the city acts as a mold?

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appartments. 17- 18 15- 16 13- 14 11- 12 9- 10 7- 8 5- 6 3- 4 1- 2

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3f. comercial 1f. comercial

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public buildings educational sports civic center religious hospital libraries public markets residential buildings/ number of floors 17- 18 15- 16 13- 14 11- 12 9- 10 7- 8 5- 6 3- 4 1- 2

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number of wifi conections

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materials and wifi intensity atenuation* a: metal _very high b: ceramic _high c: asphalt _high d: concrete _high stones *MOVISTAR recomendations for wifi networks


studio1 0emission mapping