Work place location, transport and urban competitiveness: the Oslo case

Gundersen, Frants; Langeland, Ove; Aarhaug, Jørgen

doi:10.1016/j.trpro.2017.07.020

Cited by 8 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These centres are often the areas with the highest property values, and these PT services, as a consequence, are used by relatively affluent individuals. High paying jobs are mostly located in central parts of Oslo and therefore served by all modes of PT, while lower paying jobs are located in the suburbs and outskirts and are much less well served by PT [5]. Further, as will be elaborated in this paper, different PT modes serve quite different segments of the population.…”

Section: Introductionmentioning

confidence: 93%

Subsidising urban and sub-urban transport – distributional impacts

Fearnley

Aarhaug

2019

Eur. Transp. Res. Rev.

Self Cite

View full text Add to dashboard Cite

Background and methods: This paper studies distributional effects of public transport (PT) subsidies focusing on the Greater Oslo region. We identify how different PT markets enjoy different levels of subsidies. We describe how subsidies are distributed along PT modes and their respective patronage. This is done by document studies and travel surveys, supplemented by expert inquiries. Results: We find that high-income groups, served by regional trains and high-speed crafts, receive large per passenger and per passenger-kilometre subsidy, while lower-income areas, typically served by local and regional buses, metros and local trains, receive lower subsidies per passenger. Peak traffic receives higher subsidies than offpeak traffic. The overall distributional profile is, however, found to be moderately progressive, in particular because of the socioeconomic profile of the average PT passenger relative to the population as a whole.

show abstract

Section: Introductionmentioning

confidence: 93%

Subsidising urban and sub-urban transport – distributional impacts

Fearnley

Aarhaug

2019

Eur. Transp. Res. Rev.

Self Cite

View full text Add to dashboard Cite

show abstract

“…While commuters to the CBDs can travel by PT without much difficulty, commuters to less centrally located workplaces are more dependent on the private car. Moreover, there is a distributional dimension to this variation, as high paying jobs tend to be located in the CBDs, while lower paying jobs are more often located less centrally in the urban regions (Gundersen et al, 2017). Restrictions on car use may, therefore, affect lower paid commuters more, as they tend to work in places that lack alternatives to private car commuting.…”

Section: Concluding Discussionmentioning

confidence: 99%

The geography of public transport competitiveness in thirteen medium sized cities

Lunke

Fearnley

Aarhaug

2022

Environment and Planning B: Urban Analytics and City Science

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…Iyer [4] et al compared urban competitiveness with national competitiveness and emphasized that both are competing for market share. Gundersen [5] et al studied the complex relationship between urban competitiveness, corporate positioning, and transportation systems and found that labor, land, capital, management, and technical skills are the main factors of urban attractiveness and competitiveness. Chinese scholars have lately studied urban competitiveness.…”

Section: Literature Reviewmentioning

confidence: 99%

High-Quality Economic Development in Huaihe Economic Zone Level Measurement and Evaluation

Sun

Fang

Zhang

2021

Journal of Mathematics

View full text Add to dashboard Cite

This article constructs a comprehensive evaluation index system from four aspects: economic vitality, innovation efficiency, green development, and people’s lives. Use the entropy method to comprehensively measure the urban competitiveness level of 25 counties and cities in the economic zone, clarify the differences in their high-quality development levels, and use spatial econometric analysis methods to study the spatial agglomeration and dispersion and spatial convergence of regional urban competitiveness. The results show that the following: (1) the overall high-quality development level of the Huaihe River Eco-Economic Zone is not high, and the overall time and space characteristics is “high in the east and low in the west”; (2) there is a positive spatial autonomy in urban competitiveness and the spatial distribution of the Huaihe River, and relevantly, the degree of closeness of spatial associations between cities is generally low; (3) the gap between the level of urban competitiveness in Jiangsu Province is shrinking, the development of other provinces has a time lag effect, and there are differences in the level of urban competitiveness. Finally, to promote the high-quality development of the Huaihe Economic Zone, we must follow the law of the basin and the characteristics of spatial distribution and implement targeted strategies.

show abstract

Work place location, transport and urban competitiveness: the Oslo case

Cited by 8 publications

References 6 publications

Subsidising urban and sub-urban transport – distributional impacts

Subsidising urban and sub-urban transport – distributional impacts

The geography of public transport competitiveness in thirteen medium sized cities

High-Quality Economic Development in Huaihe Economic Zone Level Measurement and Evaluation

Contact Info

Product

Resources

About