The chart below shows the resons why people travel to eork by bicyle or by car. Summarize the information by selecting and reporting the main features, and make comparisons where relevant.

The chart below shows the resons why people travel to eork by bicyle or by car. Summarize the information by selecting and reporting the main features, and make comparisons where relevant.
The pie charts provide information on the motivation of people who use either a
car
or bicycle to go to work. The data clearly illustrate that
while
the most significant reason for driving is comfort, in the case of bikes it is health
as well as
ecology. Convenience has been the main reason for using a
car
since it is responsible for two-five of a percentage of motivation.
Then
, with 21%, there is a distance between work and home.
Subsequently
, with the same number of 14% two reasons are presented – a belief that a
car
is faster than a bike and the necessity to carry things to work,
such
as,
for instance
, a laptop. The least significant one is the fact that a
car
is safer than a bicycle.
In contrast
, there are two main reasons for using bikes – both of them occupy 30% each; they are health and fitness
as well as
being more ecological meaning that bike produces less pollution.
Then
, other motivations are: no parking problems, no costs, and the belief that it is faster than driving with 15%, 13%, and 12%, respectively.
Submitted by kuba.glogowski on

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Linking words: Don't use the same linking words: "as well as".
Basic structure: Change the third paragraph.
Vocabulary: Replace the words car with synonyms.
Vocabulary: Rephrase the word "information" in your introduction.
Vocabulary: The word "significant" was used 2 times.
Vocabulary: Use several vocabularies to present the data in the third paragraph.
Topic Vocabulary:
  • Commute
  • Cyclists
  • Motorists
  • Sustainability
  • Eco-friendly
  • Caloric expenditure
  • Carbon footprint
  • Infrastructure
  • Accessibility
  • Traffic congestion
  • Urban planning
  • Punctuality
  • Fuel efficiency
  • Operational costs
  • Commuting trends
  • Safety gear
  • Public transport integration
  • Bike lanes
  • Peak hours
  • Weather patterns
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