3 datasets found
  1. TOMTOM Traffic Index

    • data.wu.ac.at
    Updated May 3, 2017
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    TomTom (2017). TOMTOM Traffic Index [Dataset]. https://data.wu.ac.at/schema/public_opendatasoft_com/dG9tdG9tLXRyYWZmaWMtaW5kZXg=
    Explore at:
    csv, application/vnd.geo+json, kml, json, xlsAvailable download formats
    Dataset updated
    May 3, 2017
    Dataset provided by
    TomTomhttp://www.tomtom.com/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    MEASURING CONGESTION WORLDWIDE

  2. a

    2015 04: New TomTom Data Reveals Rush Hour Traffic Doubles Journey Times for...

    • hub.arcgis.com
    Updated Apr 22, 2015
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    MTC/ABAG (2015). 2015 04: New TomTom Data Reveals Rush Hour Traffic Doubles Journey Times for Commuters - Top 25 Worst Congested Urban Areas within the U.S. [Dataset]. https://hub.arcgis.com/documents/5868e987fefe4868b19d934b259757ee
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    Dataset updated
    Apr 22, 2015
    Dataset authored and provided by
    MTC/ABAG
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    According to a recent report released by TomTom, drivers during the rush hour commute can expect congestion levels to significantly increase their commute time. On average, drivers will spend double the time in the car for most large metropolitan areas across the world during the evening commute alone. The average commuter spent an extra 100 hours a year traveling during the evening rush hour.In Los Angeles (Ranked 1st in the United States (U.S.) and 10th Worldwide), a 30 minute commute in the evening will take 54 minutes due to congestion, an extra 92 hours annually. Commuters in the San Francisco Bay Region are only slightly better off than their counter parts in Los Angeles. The measured congestion in San Francisco (Ranked 2nd in the U.S. and 26th Worldwide) is at 34%, while San Jose (Ranked 6th in the U.S. and 51st Worldwide) is at 30%.TomTom roadway congestion is measured as an increase in overall travel times when compared to the posted speed limits on roadways. For example, a Congestion Level of 12% corresponds to 12% longer travel times. The latest results and press release can be viewed here: https://www.tomtom.com/traffic-index/

  3. v

    Global Pedal-Assist Pedelecs Market Size By Application (Mountain/trekking,...

    • verifiedmarketresearch.com
    Updated Aug 29, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Pedal-Assist Pedelecs Market Size By Application (Mountain/trekking, City/urban), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/pedal-assist-pedelecs-market/
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    Dataset updated
    Aug 29, 2024
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Pedal-Assist Pedelecs Market size was valued at USD 25,212.18 Million in 2023 and is projected to reach USD 57,571.21 Million by 2031, growing at a CAGR of 10.91% from 2024 to 2031.

    Global Pedal-Assist Pedelecs Market Outlook

    The rising urban traffic congestion around the globe is a significant driving force behind the expansion of the Global Pedal-Assist Pedelecs Market. The latest TomTom Traffic Index, an annual report providing data on traffic trends across 387 cities in 55 countries, highlights a troubling trend: a decline in average speeds in the majority of analyzed cities. Of these, 228 cities experienced a decrease in average speeds, leading to longer journey times and increased fuel consumption. This escalating congestion problem has set the stage for the rise of alternative transportation solutions, notably pedal-assist pedelecs. The 2023 TomTom Traffic Index reveals that in many cities, travel times for a standard 6-mile journey have increased significantly. For instance, London, with the lowest average speed, saw travel times for a 6-mile journey increase by nearly a minute compared to 2022. This congestion is not only a time sink for commuters but also exacerbates fuel consumption and CO2 emissions. Over 60% of 351 cities reported a 15% or more increase in fuel costs between 2021 and 2023, directly impacting motorists' budgets and contributing to higher carbon emissions. As urban areas struggle with these challenges, pedal-assist pedelecs (electric bicycles) are emerging as a viable alternative. These bicycles provide motorized assistance when pedaling, making it easier to cover longer distances and navigate hilly terrains without excessive effort. Pedelecs can help reduce the number of cars on the road, alleviating traffic congestion. By opting for pedelecs, commuters can significantly reduce their carbon footprint compared to using cars. Pedelecs are more affordable in terms of fuel and maintenance compared to cars.

    Furthermore, rising expansion of cycling infrastructure and dedicated lanes presents a significant market opportunity for the growth of pedal-assisted pedelecs worldwide. As cities and governments increasingly recognize the benefits of promoting sustainable and eco-friendly transportation options, they are actively investing in cycling-friendly initiatives. This proactive approach is creating a conducive environment for the adoption of electric bicycles, particularly pedal-assisted pedelecs. This trend is evident across various regions, driven by factors such as increasing urbanization, traffic congestion, and environmental concerns. According to a European Cyclists' Federation report, the total length of cycling lanes and paths in major European cities has increased by over 35% in the last decade. Cities like Copenhagen, Amsterdam, and Paris are leading the way.

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TomTom (2017). TOMTOM Traffic Index [Dataset]. https://data.wu.ac.at/schema/public_opendatasoft_com/dG9tdG9tLXRyYWZmaWMtaW5kZXg=
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TOMTOM Traffic Index

Explore at:
csv, application/vnd.geo+json, kml, json, xlsAvailable download formats
Dataset updated
May 3, 2017
Dataset provided by
TomTomhttp://www.tomtom.com/
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Description

MEASURING CONGESTION WORLDWIDE

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