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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

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

  • 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


1. Introduction


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


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


Cities analyzed

Introduction


Sevilla

People going walking to the job (%)


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


2.1. Walking


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


(-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


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


León

Madrid

Walking


People going walking to the job (%)

Walking


Differences between historical city centres and the rest of the city

Walking


2.2. Private transport


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


(-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


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


Palma de Mallorca

Barcelona

Private transport


People using private transport to go the job (%)


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


2.3. Public transport


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


(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


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


Badajoz

Madrid

Public transport


People using public transport to go the job (%)

Public transport


People using public transport to go the job (%)

Public transport


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

Public transport


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


Cities analyzes


3. Conclusions


  • 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


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


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


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


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


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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