Recent research suggests that inner-city parents have become more loyal to urban living. If this is true, it is certainly good news for compact-city policies, which incorporate residential stability as part of the package. We investigate this issue with empirical evidence from Oslo, using longitudinal data for first-time parents with native and non-native background. Our first analysis tracks two parental cohorts, from 1995 and 2005, over 10 years, and shows that nonnative parents have become less stable, whereas native parents have the same stability in both periods. A second observation is that native parents, and only this group, are more stable in areas with spacious dwellings. Finally, we also show that parents who leave the inner city, especially non-natives, increase their representation in low-rise houses. The results as a whole indicate that minority integration and compact-city policies may collide. They also indicate that Oslo, despite green city awards, has failed to create stable inner-city communities. We conclude with policy recommendations.
Securing sufficient accessibility with public transport is essential for reducing private car commuting. While most studies of transport accessibility are based on travel times, other quality factors such as the perceived disadvantage of congestion and service frequency are also of importance for transport mode choice. In this study, we use generalized journey times to calculate accessibility and public transport competitiveness, allowing us to account for other characteristics of commute trips than just travel time. We use detailed trip data to calculate generalized journey times to typical employment areas in thirteen urban regions in Norway. The results show that public transport services compete better with the car in the largest cities. Specifically, public transport is competitive for access to central employment areas but less so for less central employment areas. In the smaller cities, the private car is the most competitive mode on most commute trips. With detailed travel data, the method developed in this study can be replicated in other contexts to provide a more holistic measure of accessibility than traditional methods.
Most transport mode choice studies rely on subjective responses to hypothetical questions (stated preference), or on revealed preferences. In stated preference studies, trip characteristics are exact, but there is a range of sources of errors and biases in the responses. Revealed preference surveys suffer the opposite: The choice is exact (i.e. observed) but trip attributes are uncertain – and even more uncertain when it comes to transport modes not chosen. Our dataset goes a long way in solving these problems. The data set combines real travel behaviour and mode choice data from the Norwegian National Transport Survey (NTS) with trip characteristics collected from Google maps travel planner. From the NTS, we have extracted all commute trips conducted by either private car or public transport (PT) into ten major cities in Norway with exact origin and destination coordinates. The NTS data also comprises information about age, gender, household, income and car availability. From Google maps, we have extracted trip characteristics for these trips – for both the mode chosen and the mode not chosen. This data includes total travel time, the number of interchanges, wait time, walk time, and in-vehicle time. This data can be used to study how different trip characteristics influence the probability of choosing PT over private car on commute journeys.
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