Commuting behaviour and urban form: a longitudinal study of a polycentric urban region in Denmark

Grünfelder, Julien; Nielsen, Thomas Alexander Sick

doi:10.1080/00167223.2012.707806

Cited by 17 publications

(15 citation statements)

References 36 publications

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“…A geographical downscaling of activity patterns contrasts with previous findings from another Danish metropolitan region covering urban form correlates of commuting distances (Grunfelder & Nielsen, 2012) as well as studies of regional enlargement on the island of Zealand (Nielsen & Hovgesen, 2005). In past studies, the significant destination accessibility correlates were seen to climb upwards in the urban hierarchy over time, leaving the smaller centers less significant for commuting patterns.…”

Section: Discussionmentioning

confidence: 76%

“…The authors interpreted the finding as being the result of the development of the urban region towards a decentralized form at a larger scale than previously, including a general imbalance of jobs and housing in the growing suburban sub-centers. Grunfelder and Nielsen (2012) studied commuting time, distance and modes between 1993 and 2003. The urban form correlates of commuting distances were found to change over time, thereby reducing the importance of distance to smaller urban centers in the region, and thus increasing the relative importance of distance to one of the 7 largest centers in the region for commuting patterns.…”

Section: Introductionmentioning

confidence: 99%

“…Among the few previous studies that have applied micro-data analysis to the study of changing urban form and location correlates of travel over time is the study by Vandersmissen, Villeneuve, and Th eriault (2003) which focuses on Quebec and Grunfelder and Nielsen's (2012) study of a Danish polycentric urban region. Vandersmissen et al (2003) studied changes in commuting times in Quebec between 1977 and 1996 based on a categorical variable approach to compare effects of urban form over time and concluded that the commuting duration was becoming more dependent on distance to a central urban axis, but less dependent on accessibility indices (access to jobs).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Changes in transport behavior during the financial crisis. An analysis of urban form, location and transport behavior in the greater Copenhagen area 2006–2011

Nielsen

2015

Research in Transportation Economics

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Section: Discussionmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Changes in transport behavior during the financial crisis. An analysis of urban form, location and transport behavior in the greater Copenhagen area 2006–2011

Nielsen

2015

Research in Transportation Economics

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“…Overall, recent studies have shown that it is difficult to draw a universal conclusion between urban density and commute time (Levinson and Kumar 1997;Schwanen et al 2004;Antipova et al 2011;Grunfelder and Nielsen 2012).…”

Section: Literature Reviewmentioning

confidence: 98%

Urban spatial structure and commute duration: An empirical study of China

Sun

Zhang

et al. 2015

International Journal of Sustainable Transportation

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Urban traffic is embedded in and fundamentally shaped by the spatial pattern of urban land use, such as city size, density, extent of polycentricity, and the relationship between employment and residential locations. Previous evidence, mainly from European and American cities, suggests that the duration of commute trips increases with city size and the spatial separation between jobs and housing. On the other hand, the influences of density and polycentricity are less clear. Using data from 164 cities in China, this study empirically analyzes the relationship between city average commute duration and multiple dimensions of urban spatial structure. Controlling for economic, demographic, and infrastructure characteristics, we find that commute duration correlates positively with city size and jobs-housing separation but negatively with density and polycentricity. As one of the earliest studies on commute cost in the rapidly urbanizing and motorizing Chinese cities, this study can help Chinese decision makers improve urban economic and environmental efficiency through spatial planning and policy making. Specifically, compact, mixed-use, and polycentric spatial development may ease the burden of Downloaded by [Texas A & M International University] at 20:16 22 August 2015 2 commute, and thus substitute for unnecessary infrastructure investment and energy consumption during a period of rapid urban expansion in China.

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“…Some of the studies of polycentric urban areas have found effects on commuting distances, energy use and travel mode mainly from neighborhood densities (Hickman & Banister, 2015;Grunfelder & Nielsen, 2012). However, there is still lack of knowledge of how residential location influences travel behavior in polycentric urban areas, compared to more monocentric urban areas.…”

Section: Literature Reviewmentioning

confidence: 99%

Which D’s are the important ones? The effects of regional location and density on driving distance in Oslo and Stavanger

Næss

Cao

Strand

2017

JTLU

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Based on a study in the Greater Oslo and Greater Stavanger urban areas in Norway, this paper employs quantitative and qualitative research methods to investigate the influences of residential location and neighborhood characteristics on car driving distances. Crosssectional and quasi-longitudinal analyses show that built environment characteristics -especially the distance from the dwelling to the main city center -influence driving distances in both urban areas. In Stavanger, the impact of inward moving seems to be larger than that of outward moving, possibly reflecting self-selection to the inner city. In the relatively monocentric Greater Oslo, the distance to the city center has a stronger impact on weekday driving than on weekend driving. In the more polycentric Greater Stavanger, where the importance of downtown as a destination for commuting is weaker, the distance to the city center has similar effects on weekday and weekend driving. In Greater Stavanger, distance to the secondary center Sandnes also plays a role although the impact is small. Population density and job density have impacts in Greater Oslo but not in Greater Stavanger, where we instead find a weak effect of local-area job surplus. There is no tendency toward compensatory increased weekend driving among inner-city dwellers in either Greater Oslo or Greater Stavanger.

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Commuting behaviour and urban form: a longitudinal study of a polycentric urban region in Denmark

Cited by 17 publications

References 36 publications

Changes in transport behavior during the financial crisis. An analysis of urban form, location and transport behavior in the greater Copenhagen area 2006–2011

Changes in transport behavior during the financial crisis. An analysis of urban form, location and transport behavior in the greater Copenhagen area 2006–2011

Urban spatial structure and commute duration: An empirical study of China

Which D’s are the important ones? The effects of regional location and density on driving distance in Oslo and Stavanger

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