1.2. david vale
TRANSCRIPT
Looking at destinations to explain walking and cycling: the case of the multiple locations of the University of Lisbon
David S. ValeMauro PereiraCláudia M. Viana
Built Environment and Travel
BUILT ENVIRONMENT Density Intensity Diversity Land use mix Design Street Connectivity Routes Safety Aesthetics Topography
Active Travel
DEMOGRAPHICS Age Gender Income (..)
Psicho-social Atitudes
MOBILITY MANAGEMENT Parking availability Parking cost PT Supply (etc.)
ACCESSIBILITY Origins Destinations Routes Several modes
TRAVEL Travel mode Travel time Travel distance Travel frequency
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The University of LisbonTravel Survey
Initial sample: 2037Georeferenced: 1963
90.6% travel 3 or more times per week>> Final sample: 1767 individuals
1390 Students100 PhD / Researchers156 Professors121 Staff
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Travel patternsMean = 42.5 minStDev = 31.43 min
Mean = 2.34StDev = 1.38
18%
37%
66%
TRAVEL TIME
NUMBER OF TRAVEL STEPS TRAVEL DISTANCE
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Travel patternsAlternative travel mode
no alternative mode for:
59.4% Walkers60.1% PT users57.3% Car drivers
PT is alternative mode for:
75.9% car passengers35.4% Car drivers
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TRAVEL TIMEEmployment Status
Student45.3 min
Professor26.2 min
PhD / Researcher34.2 min
Staff38.9 min
Mean42.5 min
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Student18% Walk
54% PT
Professor9% Walk
81.4% Car driver
PhD / Researcher16% Walk41% PT31% Car driver
Staff10% Walk34% PT46% Car driver
TRAVEL MODEEmployment Status
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TRAVEL DISTANCEEmployment Status
Professor20% up to 4 km44% up to 7 km
PhD / Researcher23% up to 4 km54% up to 7 km
Staff9% up to 4 km30% up to 7 km
Student18% up to 4 km36% up to 7 km
18% up to 4 km37% up to 7 km
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Cidade Universitária ISEG FMH
Polo Ajuda IST ISA*
FBA*
* Only students
TRAVEL TIMECampus ULisboaMean
42.5 min
44.7
44.1
40.6
28.7
27.5
44.6
47.3Smaller Travel Time: IST (Center, Good PT accessibility) FMH (Periphery, Bad PT accessibility)
>> Smaller travel distance?>> Mode change to reduce time?
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TRAVEL DISTANCECampus ULisboa
Cidade Universitária ISEG FMH
Polo Ajuda IST ISA*
FBA*
* Only students
18% up to 4 km37% up to 7 km
16.034.9
11.534.6
24.138.6
43.865.0
23.130.0
16.227.0
14.346.4
Smaller Travel Distance: IST (Center, Good PT accessibility)
Reduced number of walking distance residents: Polo da Ajuda (Periphery, Bad PT accessibility)
>> Mode change to reduce time?
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Cidade Universitária ISEG FMH
Polo Ajuda IST ISA*
FBA*
* Only students
Location of residential placeKernel density
By different campuses
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TRAVEL MODECampus ULisboa
* Only students
More car drivers: Polo da Ajuda + FMH
More walkers: IST + ISEG
More PT users: FBA
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3) What explains active travel commuting?Logistic model (Active Travel = 1)5 campuses only (staff and student data: 1474 sample)
Independent Variables BUILT ENVIRONMENT (6) Density: Number of dwellings Number of residents Diversity: Number of POI Variety of POI types Design Pedestrian shed ratio Average Link Length
FCA
500
met
ers n
etw
ork
ACCESSIBILITY (4) Has Metro < 500 m (01) Has Train < 800 m (01) Number of Stops
FCA example
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Walkability Index(z-score)
Accessibility index (0-1 normalization)
Free Parking (dummy)
only for campus
SOCIO-ECONOMIC (9) Gender Age (5 classes) Household size Number of years @Ulisboa Has a car (dummy) Has Drivers license (dummy) Buys PT monthly ticket (dummy) Has PT card (dummy)
Final remarks• Staff and students: different travel patterns
– specific policies for different groups– small bicycle commuting overall
• Staff: increase multimodal accessibility of campuses– Reveal possibility of choice
• Students: decrease travel distance– Struggling with travel time, consequence of poor multimodal accessibility
• Carrots and sticks package of tools required– Transform campuses into TODs, increasing their multimodal accessibility and
integration in the city– Provision of student accommodation near campuses