Waterbuses in Ilheus, Brazil
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Water buses feasibility study Ilhéus, Brazil Germano Paulo Johansson Neto Master of Planning Candidate Master of Transportation Engineering Candidate Science Without Borders Program
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Transcript of Waterbuses in Ilheus, Brazil
1. Water buses feasibility study Ilhus, Brazil Germano Paulo Johansson Neto Master of Planning Candidate Master of Transportation Engineering Candidate Science Without Borders Program 2. About Ilhus Former and future growth Surveys and Methodology Results Summary Ilhus Cathedral 3. Ilhus Salvador 4. Stage 1 The foundation o June 26th of 1534 Stage 2 Wealth and luxury o Cocoa based economy 17th century Stage 3 Decline o 1960s Stage 4 International trade and infrastructure projects 500 years of history 0 50000 100000 150000 200000 250000 1940 1950 1960 1970 1980 1991 2000 2007 Population Population growth Urban vs. Rural Total Urban Rural Source: Instituto Brasileiro de Geografia e Estatistica 5. Porto Sul complex o 2000 direct jobs FIOL railroad corridor o 1000 mile freight railroad New airport New bridge More growth Ilhus new projects (Source: Jornal A Tarde ) 6. Urban transportation https://www.youtube.com/watch?v=ZrN-uqPfZPk 7. Urban transportation 0 50000 100000 150000 200000 250000 Population Automobile Automobile forecast 100% increase in car ownership 2 cars for every 10 residents Traffic congestion in Ilhus during peak hours 8. Water buses! Central South West North 9. Planning the study Total budget o U$ 6.000,00 Team o 27 surveyors o 1 driver o 2 supervisors o 1 data input o o/ 10. Planning the study 1 - Buses loading 2 Origin and destination 11. Planning the study PESQUISA VISUAL DE OCUPAO DE NIBUS Ponto de POV: Nome: Sentido: Data: * LINHA N ONIBUS HORARIO 1 0 1 2 3 4 5 2 0 1 2 3 4 5 3 0 1 2 3 4 5 4 0 1 2 3 4 5 5 0 1 2 3 4 5 6 0 1 2 3 4 5 7 0 1 2 3 4 5 8 0 1 2 3 4 5 9 0 1 2 3 4 5 10 0 1 2 3 4 5 11 0 1 2 3 4 5 12 0 1 2 3 4 5 13 0 1 2 3 4 5 14 0 1 2 3 4 5 15 0 1 2 3 4 5 16 0 1 2 3 4 5 17 0 1 2 3 4 5 18 0 1 2 3 4 5 19 0 1 2 3 4 5 20 0 1 2 3 4 5 21 0 1 2 3 4 5 22 0 1 2 3 4 5 23 0 1 2 3 4 5 24 0 1 2 3 4 5 25 0 1 2 3 4 5 26 0 1 2 3 4 5 27 0 1 2 3 4 5 28 0 1 2 3 4 5 29 0 1 2 3 4 5 30 0 1 2 3 4 5 31 0 1 2 3 4 5 32 0 1 2 3 4 5 33 0 1 2 3 4 5 34 0 1 2 3 4 5 35 0 1 2 3 4 5 36 0 1 2 3 4 5 37 0 1 2 3 4 5 38 0 1 2 3 4 5 39 0 1 2 3 4 5 40 0 1 2 3 4 5 41 0 1 2 3 4 5 42 0 1 2 3 4 5 43 0 1 2 3 4 5 44 0 1 2 3 4 5 45 0 1 2 3 4 5 Folha n _______ de ___________ Linhas a pesquisar: 01 - 02 - 09 - 10 - 15 - 19 - 21 - 23 - 31 - 32 - 33 - 40 - 43 - 44 - 63 NVEL NO SE AUSENTAR DO LOCAL DE PESQUISA AT A CHEGADA DO COORDENADOR OU DO PRXIMO PESQUISADOR ANOTAR DE FORMA LEGVEL TODOS OS NIBUS QUE PASSAM E PREENCHER TODOS OS CAMPOS DO FORMULRIO COORDENADORES LEDSON: LUCAS: 12. Data! Bus loading (18 bus routes, 6:00 to 22:00, two days) o Visual occupancy survey o 6 different locations through the bus' routes O/D (3.000 interviews between Tuesday and Thursday) o Origin/destination o Departure time, walking time, waiting time (transit) o Arrival time, walking time o Payment, frequency o Biking habits o 71x71 matrix 13. Sample O/D data 0 20 40 60 80 100 120 140 ACUPE AVITABUNA BANCODAVITRIA BARRA BASLIO BUARAREMA CANAVIEIRAS CENTRO CEPLUS CIDADENOVA CONQUISTA COUTO DistritoRural HERNANIS IGUAPE ILHUS2 ITABUNA ITACAR JARDIMATLNTICO LUIZGAMA MALHADO MARA MORADADO NELSONCOSTA NOSSASENHORA NovaBraslia OLIVENA OUTEIRO PARQUEINFANTIL Piedade PONTAL PraiasdoNorte PRAIASDOSUL PRINCESAISABEL RODOVIRIA SALOBRINHO SAMBAITUBA SOFRANCISCO SOJOS SOMIGUEL SAPETINGA SAVIA SERRAGRANDE TAPER TEOTNIOVILELA URUUCA VILAESPERANA (blank) Totaltrips Destionations Origin - TEOTNIO VILELA 14. Income distribution 15. Bike use 16. Origins and destinations 17. Commuting time 18. Results Origins Destinations Row Labels CENTRO NELSON COSTA PONTAL TEOTNIO VILELA Grand Total CENTRO 12 205 80 285 582 NELSON COSTA 34 7 27 20 88 PONTAL 62 68 12 35 177 TEOTNIO VILELA 125 40 11 8 184 Grand Total 233 320 130 348 1031 From 3.000 interviews, 34,25% of could use the waterbus system Commuting time for these people could decrease from 40% to 70% The following matrix contemplates only the 34.25% respondents who could use the system 19. Contact: [email protected]
