Petter Naess

Urban Structure Matters

Residential Location, Car Dependence and Travel Behaviour

• Gebundenes Buch

Produktbeschreibung

"Simultaneously published in the USA and Canada by Routledge."

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Going beyond previous investigations into urban land use and travel, Petter Næss presents new research from Denmark on residential location and travel to show how and why urban spatial structures affect people's travel behaviour.

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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 340
• Erscheinungstermin: 6. Juli 2006
• Englisch
• Abmessung: 242mm x 161mm x 20mm
• Gewicht: 689g
• ISBN-13: 9780415375740
• ISBN-10: 0415375746
• Artikelnr.: 22594841

Autorenporträt

Petter Naess

Inhaltsangabe

Preface List of Figures List of Tables 1. Why is Knowledge about Urban Form
and Travel Needed? 2. Urban Structures as Contributory Causes of Travel
Behavior - A Theoretical Perspective 3. The Case of Copenhagen Metropolitan
Area - Context and Research Methods 4. The "Car Tires" and the "Bike Hub":
Typical Mobility Patterns in Different Parts of the Metropolitan Area 5.
How does Urban Structure Motivate Daily-Life Travel Behavior? - Examples
from Qualitative Interviews 6. Which Relationships Exist between
Residential Location and Travel Behavior after Controlling for Demographic,
Socioeconomic and Attitudinal Factors? 7. How does Residential Location
Influence Location of Activities, Trip Lengths, Activity Participation and
Travel Time? 8. Are there Additional, Indirect Effects of Residential
Location on Travel? 9. Does Residential Location Influence Daily-Life
Travel Differently among Different Population Groups? 10. Are Short Daily
Trips Compensated by Higher Leisure Mobility? 11. Conclusions from the
Copenhagen Metropolitan Area Study 12. Urban Form and Travel Behavior - A
Wider Sustainability Perspective 13. Planning for a Sustainable and less
Car-Dependent Urban Development References Appendix: The Independent
Variables Included in Most of the Multivariate Analyses of the Main Survey
Index Notes