The chart below shows numbers of incidents and injuries per 100 million passenger miles travelled (PMT) by transportation type in 2002. Summarise the information by selecting and reporting the main features and make comparisons where relevant.

The chart below shows numbers of incidents and injuries per 100 million passenger miles travelled (PMT) by transportation type in 2002.

Summarise the information by selecting and reporting the main features and make comparisons where relevant.
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introduction: In
this
Linking Words
graph we can see the range of
injuries
Use synonyms
and incidents per a hundred Million during the 2002. First of all the main information is that incidens have more relevant results in fact, in every figure thery are higher. The incidents and
injuries
Use synonyms
levels are steady in the first four categories but in the
last
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they achieve a pick
instead
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of the commuter rail that are the lowest. Light roil and bus accidents are the same,
also
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heavy rail and the light one
injuries
Use synonyms
are nearly equal. conclusion: Incidents and
injuries
Use synonyms
over 2002 are relevant in demand response in fact picks achieve nearly 250 passengers per 100 million miles traveled. We can concord that almost int theory the safest transportation type is the commuter rail with an average of 17/20 accidents. But we can not make conclusions, the only thing we can say is that demand response is very dangerous and bad.
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Sentences: Add more complex sentences.
Introduction: The introduction is missing.
Introduction: Change the first sentence in the introduction.
Conclusion: The conclusion is too long.
Introduction: The chart intro is missing.
Introduction: The chart intro is missing.
Vocabulary: Replace the words injuries with synonyms.
Vocabulary: Only 5 basic words for charts were used.
Vocabulary: The word "nearly" was used 2 times.
Topic Vocabulary:
  • Passenger Miles Travelled (PMT)
  • incidents per 100 million PMT
  • injuries per 100 million PMT
  • transportation type
  • comparative measures
  • statistical analysis
  • proportionate level
  • anomalous data
  • discrepancies in safety figures
  • severity of incidents
  • frequency of occurrences
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