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Third International Population Geographies Conference 19th-21th June 2006, Liverpool

Third International Population Geographies Conference 19th-21th June 2006, Liverpool. Home-to-work mobility patterns in Spanish cities. Dolores LÓPEZ , Carolina MONTORO and Juan J. PONS Department of Geography and Territorial Management University of Navarra. Contents.

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Third International Population Geographies Conference 19th-21th June 2006, Liverpool

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  1. Third International Population Geographies Conference 19th-21th June 2006, Liverpool Home-to-work mobility patterns in Spanish cities Dolores LÓPEZ, Carolina MONTORO and Juan J. PONS Department of Geography and Territorial Management University of Navarra

  2. Contents • 1. Introduction: sources and analysed cities • Modal split in the daily home-to-work mobility • 2.1. Walking • 2.2. Private transport • 2.3. Public transport • Conclusions

  3. 1. Introduction

  4. Introduction Project: “The historical centers of Spanish cities. Comparative analysis of their characteristics and present-day situation”. Financial support provided by Ministry of Education and Sciences (Project reference: SEJ2004-07064). • Sources for the study of the home-to-work mobility • Lack of public oficial sources for the whole of Spain till 2001 Population Census

  5. Variables (census tract) 1. Population having no car 2. Population having no garage 3. Population making two or more journeys per day 4. Population taking less than 30 minutes per journey 5. Population working in the same city where it lives 6. Population going walking to the job 7. Population going by bicycle to the job 8. Population using private transport (car/motorbike) to go to the job 9. Population using public transport (bus, train, metro, or other combinations of public transport) to go to the job 10. Population combining the public and the private transport to go to the job

  6. Cities analyzed Introduction

  7. Sevilla People going walking to the job (%)

  8. 2. Modal Split in the daily home-to-work mobility

  9. 2.1. Walking

  10. 70 60 50 40 % 30 20 10 0 Jaen Lugo Cádiz Sevilla León Vitoria Madrid Huelva Burgos Cuenca Toledo Valencia median Badajoz Granada Huesca Zaragoza Córdoba Pamplona Barcelona Ourense Valladolid Tarragona Salamanca P. Mallorca San Sebastián Population going walking to the job in the HCC (%) Walking

  11. (-0.623**) (-0.555**) (-0.648**) (0.701**) (-0.580**) Total population Bicycle Without car WALKING Private transport 2 o more journeys Public transport < 30 minutes Other transports Walking

  12. • 50 LU • • • LE OU HU • BU • • VI Z • 45 • NA CU • VA • • SA J Two o more journeys • V • CO 40 • GR • • • BA • • TO SS SE T • H • • PM • CA B 35 • M 20 30 40 50 60 % people that go walking Relationship between % of population walking to work and % of population making two o more daily journeys to go to the job (0,701**) Walking

  13. León Madrid Walking

  14. People going walking to the job (%) Walking

  15. Differences between historical city centres and the rest of the city Walking

  16. 2.2. Private transport

  17. 70 60 50 40 % 30 20 10 0 Huelva Jaen León Lugo Cádiz Sevilla Vitoria Madrid Huesca Burgos Toledo Cuenca Badajoz Valencia Granada Ourense Córdoba median Zaragoza Barcelona Pamplona Valladolid Tarragona Salamanca P. Mallorca San Sebastián Population using private transport to go to the job in the HCC Private transport

  18. (-0.567**) (-0.724**) (-0.746**) (0.438*) Walking Total population Bicycle Without car PRIVATE TRANSPORT 2 o more journeys Public transport < 30 minutes Other transports Private transport

  19. • B Relationship betweeen % of population having no car and % of people using private transport (-0,724**) 60 • • M CA 50 % people without car • • Z • T SS 40 • VI • NA • • • SE • V GR • BU 30 • • • • HU • OU • J LE • • • LU CU • BA • TO VA CO SA PM 20 • H 20 30 40 50 % people using private transport Private transport

  20. Palma de Mallorca Barcelona Private transport

  21. People using private transport to go the job (%)

  22. People with vehicle: Differences between HCC and the rest of the city

  23. 2.3. Public transport

  24. Jaen Lugo León Cádiz Sevilla Vitoria Huesca Huelva Toledo Madrid Burgos Cuenca Badajoz Valencia Ourense Granada Córdoba median Zaragoza Pamplona Valladolid Tarragona Barcelona Salamanca P. Mallorca San Sebastián Population using public transport to go to the job in the HCC 70 60 50 40 % 30 20 10 Public transport 0

  25. (0.813**) (-0.729**) (0.839**) (-0.746**) (-0.590**) (-0.445*) (0.656**) Walking Total population Bicycle Without car PUBLIC TRANSPORT Private transport 2 o more journeys < 30 minutes Other transports Public transport

  26. • M 50 • B 40 % People using public transport • 30 Z • • CA SS • • V 20 NA • • GR SE • • • VI • VA BU PM • • • T TO 10 • CO • • H • • OU J • • CU SA BA LE • • HU LU 0 0 40000 80000 120000 Total population Relationship between total population and % of population using public transport to go to the job (0,813**) Public transport

  27. Badajoz Madrid Public transport

  28. People using public transport to go the job (%) Public transport

  29. People using public transport to go the job (%) Public transport

  30. People using public transport: Differences between historical city centres and the rest of the city Public transport

  31. León Lugo Cádiz Sevilla Vitoria Huelva Burgos Toledo Madrid Badajoz Huesca Valencia Granada Córdoba median Ourense Zaragoza Barcelona Pamplona Valladolid Salamanca P. Mallorca San Sebastián Population using bicycle to go to the job in the HCC 2,5 2,0 1,5 % 1,0 0,5 0,0 Jaen Cuenca Bicycle Tarragona

  32. Cities analyzes

  33. 3. Conclusions

  34. The home-to-work mobility in the Spanish cities analized shows the following patterns: 1. The predominant pattern in the city as a whole is more important than the differences between the historical city centres and the rest of the city. Conclusions

  35. sd 6,6 Walking sd 13,9 Without garage sd 8,9 Without vehicle Differences between historical city centres and the rest of the city. Mean of the 25 capitals of province. Working in the same town Bicycle 2 or more journeys Take less than 30 minutes Others transports sd 4,0 Public transport sd 5,6 Privatetransport -20 -10 0 10 20

  36. 2.These differences show that the historical city centres are places more suitable to go walking to work and with more difficulties to use the private transport. 3. The distribution of the modal-split is the following: 1) Private transport (40%); 2) walking (39,6%); 3) Public transport (15% ), and 4) Bicycle and others Conclusions

  37. 4. Conclusions show that go walking and the use of private transport is related to a lower use of public transport. 5. Go walking to the job is associated with a higher frequency of journeys per day. The use of private transport is strongly related to the availability of a car. 6. The total population is the more important variable in the modal split patterns. Conclusiones

  38. Walking (-0.623**) Bicycle Withour car (0.606**) (-0.567**) TOTAL POPULATION Private transport 2 o more journeys (-0.649**) Public transport (0.813**) < 30 minutes (-0.416*) (0.595**) Other transports

  39. Third International Population Geographies Conference 19th-21th June 2006, Liverpool Thank you for your attention Dolores LÓPEZ, Carolina MONTORO and Juan J. PONS Department of Geography and Territorial Management University of Navarra

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