| Autor: |
Liao Y; Department of Space, Earth and Environment, Division of Physical Resource Theory, Chalmers University of Technology, Gothenburg, 41296, Sweden. yuan.liao@chalmers.se., Gil J; Department of Architecture and Civil Engineering, Division of Urban Design and Planning, Chalmers University of Technology, Gothenburg, 41296, Sweden., Pereira RHM; Institute for Applied Economic Research (Ipea) - Brazil, Department of Urban, Regional and Environmental studies and policies (DIRUR), Brasilia, 70076-900, Brazil., Yeh S; Department of Space, Earth and Environment, Division of Physical Resource Theory, Chalmers University of Technology, Gothenburg, 41296, Sweden., Verendel V; Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, 41296, Sweden. |
| Jazyk: |
angličtina |
| Zdroj: |
Scientific reports [Sci Rep] 2020 Mar 04; Vol. 10 (1), pp. 4056. Date of Electronic Publication: 2020 Mar 04. |
| DOI: |
10.1038/s41598-020-61077-0 |
| Abstrakt: |
Cities worldwide are pursuing policies to reduce car use and prioritise public transit (PT) as a means to tackle congestion, air pollution, and greenhouse gas emissions. The increase of PT ridership is constrained by many aspects; among them, travel time and the built environment are considered the most critical factors in the choice of travel mode. We propose a data fusion framework including real-time traffic data, transit data, and travel demand estimated using Twitter data to compare the travel time by car and PT in four cities (São Paulo, Brazil; Stockholm, Sweden; Sydney, Australia; and Amsterdam, the Netherlands) at high spatial and temporal resolutions. We use real-world data to make realistic estimates of travel time by car and by PT and compare their performance by time of day and by travel distance across cities. Our results suggest that using PT takes on average 1.4-2.6 times longer than driving a car. The share of area where travel time favours PT over car use is very small: 0.62% (0.65%), 0.44% (0.48%), 1.10% (1.22%) and 1.16% (1.19%) for the daily average (and during peak hours) for São Paulo, Sydney, Stockholm, and Amsterdam, respectively. The travel time disparity, as quantified by the travel time ratio [Formula: see text] (PT travel time divided by the car travel time), varies widely during an average weekday, by location and time of day. A systematic comparison between these two modes shows that the average travel time disparity is surprisingly similar across cities: [Formula: see text] for travel distances less than 3 km, then increases rapidly but quickly stabilises at around 2. This study contributes to providing a more realistic performance evaluation that helps future studies further explore what city characteristics as well as urban and transport policies make public transport more attractive, and to create a more sustainable future for cities. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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