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Band 8

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.
#numbers #incidents #injuries #million #passenger #miles #pmt #transportation #type #summarise #information #features #comparisons
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This
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 bar chart illustrates how many
incidents
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 and
injuries
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 were caused by using five different types of transportation per 100
million
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 passenger miles travelled (PMT) in 2002.
Overall
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, the one feature that stands out is that demand response led to the highest number of both
incidents
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 and
injuries
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 in that year,
while
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 commuter
rail
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 was the safest type. Another noticeable feature is that
incidents
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 took place more often compared to
injuries
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. Heavy
rail
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, light
rail
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 and busses had the most similar trends among all five reported types. Heavy
rail
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 caused 51
million
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incidents
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 per 100
million
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 PMT, but fewer
injuries
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. Both light
rail
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 and busses caused 76
million
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incidents
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,
whereas
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 a significant difference was reported in
injuries
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 (39
million
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 and 66
million
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, respectively). The most dangerous transportation was the demand response, which contributed to 225
million
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incidents
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 and 173
million
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injuries
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. Commuter
rail
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,
on the other hand
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, had the lowest number of both
injuries
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 and
incidents
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 (20
million
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injuries
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 and 17
incidents
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).
Submitted by christine98t on

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Vocabulary: Rephrase your introduction. Words match: 67%.
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Vocabulary: Replace the words incidents, injuries, million, rail with synonyms.
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Vocabulary: The word "number of" was used 2 times.
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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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