Urban sprawl and transport the case of Oslo and Bergen a presentation of research activities at TOI - PowerPoint PPT Presentation

1 / 18
About This Presentation
Title:

Urban sprawl and transport the case of Oslo and Bergen a presentation of research activities at TOI

Description:

The case of Bergen. Regression on cars per adult, R2: 0.76. Even weaker effect of distance ... per adult by distance from Bergen c. 15. Residential location and ... – PowerPoint PPT presentation

Number of Views:30
Avg rating:3.0/5.0
Slides: 19
Provided by: unniwett
Category:

less

Transcript and Presenter's Notes

Title: Urban sprawl and transport the case of Oslo and Bergen a presentation of research activities at TOI


1
Urban sprawl and transport - the case of Oslo and
Bergena presentation of research activities at
TOI
  • Jon Inge Lian, Institute of Transport Economics,
    Oslo
  • COST 355 meeting, Paris 1. July 2004

2
Background
  • Car ownership
  • Major cities
  • Oslo 0,8 mill
  • Bergen 0,21 m.
  • Stavanger 0,17 m.
  • Trondheim 0,15 m.

3
Data
  • National Travel Surveys 1992, 1998, 2001
  • Registers on population, cars and income
  • Local travel surveys

4
Analysis Oslo 1992, NTS
5
Discussions
  • Travel time (from transport models) proved better
    than distance, linear relationship?
  • Travel time and time difference (car transit)
    and number of children were significant
  • Regressions on zones gave similar results
  • But time difference were not significant, due to
    local differences in walking distances to transit
  • Travel time, income and single unit dwelling had
    high t-values (5)

6
Urban sprawl analysis Oslo 1998
  • Based on 1900 census districts
  • Regression on cars per adult, R2 0.66
  • The effect of distance from CBD not very strong

Change from 2.7 km to 7.4 km from CBD gt 0,085
cars/adult
7
Cars per adult by distance from Oslo c
8
Cars per adult by distance from Oslo c
9
Cars per adult by distance from Oslo c
10
Cars per adult by road distance from Oslo c
11
Car use and distance, Oslo 1998
12
The case of Bergen
  • Regression on cars per adult, R2 0.76
  • Even weaker effect of distance

13
Cars per adult by distance from Bergen c
14
Cars per adult by distance from Bergen c
15
Residential location and travel
16
Other locations and travel
17
Workplace location and travel
18
Summary
  • Residential location effect effect car use mainly
    by differences in car ownership
  • The distance effect is diminishing after 6 km
  • Change in settlement pattern is very slow mixed
    trends
  • Workplace location strongly affect car use
  • Workplace and shopping centre location change at
    a higher rate than housing, but income growth
    is by far the most important driver of car
    ownership and use.
  • Future studies based on NTS 2001 will elaborate
    more on socio-demographics and travel
    alternatives.
Write a Comment
User Comments (0)
About PowerShow.com