Synopsis of Social media discussions

The various discussions mainly agree with the article, as seen in posts stating the road network is 'more than 80% complete' and emphasizing its relevance for development and planning. The tone ranges from informational to practical, with some posts exploring applications like improving roads and urban green spaces, demonstrating both moderate engagement and recognition of the data's broader implications.

A
Agreement
Strong agreement

Most discussions acknowledge and affirm the article's findings, emphasizing the significance of the 80% completion estimate.

I
Interest
Moderate level of interest

Overall interest is moderate, with responses recognizing the importance of open data but not delving deeply into technical details.

E
Engagement
Moderate level of engagement

Some posts, like the one mentioning building better roads in Canada's oilsands, demonstrate curiosity and a desire to apply the data, indicating moderate engagement.

I
Impact
High level of impact

Posts suggest that the information could influence urban planning, infrastructure development, and open data initiatives, highlighting high potential impact.

Social Mentions

YouTube

2 Videos

Facebook

5 Posts

Twitter

7 Posts

News

17 Articles

Reddit

2 Posts

Metrics

Video Views

2,481

Total Likes

31

Extended Reach

32,334

Social Features

33

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Evaluating Urban Green Space Mapping Using OpenStreetMap Data

Evaluating Urban Green Space Mapping Using OpenStreetMap Data

OpenStreetMap offers valuable data on urban green spaces, but overlapping tags cause spatial inconsistencies. This study develops an analysis method to identify relevant tags and compares OSM data with official records to assess green space coverage for improved urban planning.

September 23, 2019

2,478 views


Global Road Mapping Achieves Over 80% Completion Using OpenStreetMap Data

Global Road Mapping Achieves Over 80% Completion Using OpenStreetMap Data

The world's user-generated road map is more than 80% complete. The study evaluates the completeness of OpenStreetMap road data globally using satellite assessments and statistical modeling, highlighting OSM's reliability in geospatial data.

February 16, 2023

3 views


  • Phys.org Technology
    @physorg_tech (Twitter)

    RT @TechXplore_com: How Canada's oilsands can help build better roads @ConversationEDU https://t.co/OR2nf4xRvJ https://t.co/Z0RdABR47t
    view full post

    July 25, 2022

    1

  • OpenSource Orgs
    @opensource_orgs (Twitter)

    RT @kuwala_io: OpenStreetMap's road network is more than 80% complete - globally. Source: https://t.co/6JZrRiRjfi #mobility #data #openda…
    view full post

    June 11, 2021

    1

  • kuwala
    @kuwala_io (Twitter)

    OpenStreetMap's road network is more than 80% complete - globally. Source: https://t.co/6JZrRiRjfi #mobility #data #opendata #osm #opensource #urbanplanning #streets #traffic
    view full post

    June 11, 2021

    1

    1

  • Charles Nepote
    @CharlesNepote (Twitter)

    RT @orovellotti: The world’s user-generated road map is more than 80% complete https://t.co/nBTMpOTCMq
    view full post

    August 12, 2020

    1

  • orovellotti
    @orovellotti (Twitter)

    The world’s user-generated road map is more than 80% complete https://t.co/nBTMpOTCMq
    view full post

    August 12, 2020

    1

    1

  • GeoNe.ws
    @GeoNe_ws (Twitter)

    Video: "Assessing the Completeness of Urban Green Spaces in @OpenStreetMap" https://t.co/1IzmhY9zdj
    view full post

    October 6, 2019

    1

    1

  • ahf_ntwlkr
    @ahf_ntwlkr (Twitter)

    https://t.co/fciEUH2WAs
    view full post

    January 24, 2019

Abstract Synopsis

  • The study evaluates the completeness of OpenStreetMap (OSM) road data globally using visual satellite assessments and statistical modeling, finding that OSM is about 83% complete worldwide.
  • It shows that many countries, especially those with good governance and internet access, have highly mapped road networks, with both very sparse and very dense areas being better mapped than medium-density regions.
  • The analysis suggests that current global datasets, like those used by the World Bank, significantly underestimate road networks by over 30%, highlighting the value of OSM as a reliable source for geospatial data.]