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- Haustein, Sonja, et al.
(author)
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A comparison of cycling cultures in Stockholm and Copenhagen
- 2020
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In: International Journal of Sustainable Transportation. - : Informa UK Limited. - 1556-8334 .- 1556-8318. ; 14:4, s. 280-293
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Journal article (peer-reviewed)abstract
- This study focuses on two central Scandinavian cities – Copenhagen and Stockholm – that are generally thought to be culturally close but have deviated with respect to cycling policies and infrastructure. Based on a survey including inhabitants of Copenhagen (n¼1110) and Stockholm (n¼1191), this study investigated whether cyclists in Copenhagen and Stockholm experience thetransport systems in the two cities differently, and to what extent cycling perceptions can explain differences in cycling level (minutes of cycling) among cyclists. Cycling levels are much higher in Copenhagen than Stockholm, and cyclists in Copenhagen perceive a higher prioritization in traffic, feel safer, and perceive a higher ability to reach their destinations by bike. Using ordered logitmodels, we examined the effect of different factors on cycling level among cyclists in both cities. Those who live in Copenhagen have higher levels of cycling even when other independent variables are included in our model. Other significant factors were employment, which increased cycling, and car access, which decreased cycling. Being female was related to higher cycling levels in Copenhagen, but not in Stockholm. The only significant cycling perception was the perceived ease and feasibility of getting to important destinations by bicycle (cycling autonomy). Results of a similar analysis including non-cyclists led to comparable results. The results suggest that differences in cycling levels between the two cities are related to the overall mobility culture of the two cities (in particular different policies, norms and infrastructure), while individual/micro-level factors, appear rather inadequate for understanding urban differences.
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| 2. |
- Song, Jinchao, et al.
(author)
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Mapping spatio-temporal patterns and detecting the factors of traffic congestion with multi-source data fusion and mining techniques
- 2019
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In: Computers, Environment and Urban Systems. - : Elsevier BV. - 0198-9715. ; 77
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Journal article (peer-reviewed)abstract
- The study focuses on mapping spatiotemporal patterns and detecting the potential drivers of traffic congestion with multi-source data. First, based on real-time traffic data retrieved from an online map, the k-means clustering algorithm was applied to classify the spatiotemporal distribution of congested roads. Then, we applied a geographical detector (Geo-detector) to mine the potential factors for each spatiotemporal pattern. The results showed six congestion patterns for intra-regional roads and inter-regional roads on weekdays. On both intra-regional and inter-regional roads, congestion density reflected by building height was the strongest indicator during the morning peak period. Public facilities such as hospitals, tourist sites and green spaces located near areas of employment or residential areas contributed to congestion during and off-peak hours. On intra-regional roads, the sparse road network and greater distance from the city center contribute to congestion during peak hours. On inter-regional roads, the number of bus stops contributed most to the early evening peak congestion, while the design of the entrances to large buildings in mixed business areas and public service areas increased the level of congestion. The results suggest that land use should be more mixed in high-density areas as this would reduce the number of trips made to the city center. However, mixed land-use planning should also be combined with a detailed design of the microenvironment to improve accessibility for different travel modes in order to increase the efficiency of traffic and reduce congestion. The innovative approach can be potentially applied in traffic congestion and land use planning studies elsewhere based on real-time multi-source data.
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