MAA10-11

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

Anastasia Pistofidou_Jordi Portell_Tomas Vivanco_LasRoquetes_LaProsperitat_LaGuineueta_Verdun

Students:Neighborhood:

2_ zero emissions

Key to zero emissions efficiency.

1_ conserve energy.

2_ self generation & storage.

3_ efficient energy managment.

4_ people: uses & habits.

4_ methodology

4.1_ first attempt

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.

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

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.

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.

4.2_ second attempt

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.

4.2.1_ Data acquisition

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 mid-point between crossings. We have also taken measures at singular points that seemed to be of special interest (centres of squares, green areas, etc.). 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. Name of the network2. Network address (MAC)3. Encryption (type)4. Frequency5. Channel6. Signal strength

Example inside IAAC building: "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

Example of the data we get measuring at the Iaac.

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 cityhibrid 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 spacegenerate 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 unitisolated 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.

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 resi-dential 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 measure-ment grid has to be more dense.

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 neighbour-hoods.

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.

5.2_ rootzmap mapping internet/ philippe bourcierWhile 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.

5.1_ free network visible network/ lalalabThe Free Network Visible Network project proposes the visibility of the flow of infor-mation 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 con-nectivity 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, con-tinuously modified by invisible paths plotted communication technologies.

5_ study cases

5

6

31

4

28

2930

50

3

27

13

51

49

12

14

24 25 26

46

47 48

32

2

11

10

9

1

8

23

43

44 45

58

4241

5554 56 57 59 60

61

6274

71

73

7

20

21

22

191817

36 38

3739 40

52

53

66

67

6970

7276

77

78

7980

8988

86

6364

65

81

85

8284

83

16

93

90

92

94

9596

98

9799 100

101103

102 104

111

113

115

114

112

110

105

109

107

106

15

108

159

120

121

134122

123139

136135

133131

129

128

119118117

124127

130132

137

150138

151152

140

141

142

153154 155

143157

156175

191190

174189

187 197

158

198196195

193

194

217

216

215

206

208

207209

210

214213

211

212

173

188

205

230229

223224

225

222

228

204

220

219

218

202

203

186

172

171

166

149

148

165

170

180

185

179

169

163 164

147

162

168

177

178

201

200

221

199

184

182

183

181

176

167

160

145

144

125126

146

161

116

35

34

33

68

87

91

226

227

246

245

244

243

242

247

241

240

239

238

254

253

252

251

248

250

249

232 233

234235236237

231

255

256

257

279

258

259

260261

262

278277

276275

274 267273

266272

271270

269

275

274

273

276

277

278

281

280

285286

287

288

289

290

291

292

293

294

295

282

283

284

309

308

307

300

306

305

304

303

302

301

296

297

298

299

310

311

312

313

314

328

329330331332

333

334

335336

337

315

316

317318

319

320

321

322

323

324

325

326

327

338

342

345

348

351

354

356355

353

352

350

349

347

346

344

343

341

340

339

357

358

359

360

677

676

669

666

665

667

662

663

668

387

386

385

384

383382

381

268

265

264

263

664

682

683

437436

435

433434

388

389390

391

392

393

394

432431

430

429

678

400

401

402

403

404

406

407408

409

410

411

412

418

419

420

421

422

423

424

425

426

427

428

398

397

396395

405

370

371

372

373

438

439

440

442441

443

444

445

446

417

413414

415

416

460

459

458

457

456

455

454

453

452

451

450

449

481

448

447

480

482

479

478

477

475476

474

472

471

473

469

461

462

463464

465

466

467

468

535

687

686

499496

495 470

494498

497

500532

685

684

688

374

530

501

493

502

503

505504

491492

490

488

487

489

486

507506

508

525

375

681

680

376

485

484

483

509

510

511

377

378

379

380

369

679

368

367

366

365

364

363

362

361

399

661

660

675

512

515

513514

574

573

572

571

570

569

568

567

566565

564

563

546545

544

562

540

543

542

541

547

548

560

561

580

581

582

592

593

594

595

596

597

635

629

634

632

636 598 591

584

607

633

609

608

599

585

600

610

601586

590

587

588

602

619

618603

617

611

644

631

612641

642

589

604

605

606673

674

625

626

616

627

624

623

628

620

613614

615

643

630

637

639638

651 640

652

645

648

646

670 647649

650

621

672

622

657671

659

653

656

658

654

655

549

583

516575

576

577

578 579

517

518519520

521

522

523

524

538

539

527

526

528

531

533534

537

536

689

761760756755754

753

752

757

748

746

744

742

741

732

729

716

710

712

715

708

705

701

700

699

698

697

696

695

694

693

692

691

690

730

731

743

717

713

707

706

718

750

739

738

737

735

725

711

719

721

722

726

736

703

704

709

720

723

724 728

734

714

702

747

749

758

759

733

727

740

745

766

767

768

769

764

765

762

763

751

1_ context: the barriosLaGuineueta_LaProsperitat_Verdum_LesRoquetes

BV-5001

La Guineueta

Verdum

Les Roquetes

La Prosperitat

762 measure points

17.400 signals 7.829 unique net-

internet structure

wifi

12 11 10 9 8 7 6 5 4 3 2 1

MAA10-11

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

Anastasia Pistofidou_Jordi Portell_Tomas Vivanco_LasRoquetes_LaProsperitat_LaGuineueta_Verdun

Students:Neighborhood:

48++4236302418126

amount of connections

height of buildings

wifi intensity

1_wifi topography visualizing digital network

2_wifi topography visualizing digital network

3_superimposing densities 1 apartment =1 network ?

MAA10-11

Introductory Design Studio_Barcelona 0 EmissionsJordi Portell i Torres - Anastasia Pistofidou - Tomás Vivanco LarrainLa Guineueta - La Prosperitat- Verdum - Les Roquetes

Students:Neighborhood:

carrer del mas duran

av. júlia

appartments.17- 1815- 1613- 1411- 129- 107- 85- 63- 41- 2

3f. comercial1f. comercial

metro

barrio/ floors16- 1813- 1510- 127- 94- 61-3

wifi measure point

number of wifi conections

194: 21213: 42 214: 31215: 36216: 36245: 13 246: 35437: 19

materials and wifi intensity atenuation*

a: metal _very highb: ceramic _highc: asphalt _highd: concrete _high stones

*MOVISTAR recomendations for wifi networks

215

214

216

194

213

437

246

245

a

bc

d

b

c

db

c

cb

a

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

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

public buildingseducationalsportscivic centerreligioushospitallibrariespublic markets

residential buildings/number of floors17- 1815- 1613- 1411- 129- 107- 85- 63- 41- 2