The map below is of the town of Garlsdon. A new supermarket (S) is planned for the town. The map shows two possible sites for the supermarket.

The map below is of the town of Garlsdon. A new supermarket (S) is planned for the town. The map shows two possible sites for the supermarket.
The given map illustrates two prone locations for introducing a new supermarket in a
town
called Garlsdon with 65,000 residents.
Overall
, what stands out from the map is that
while
the first suggestion is located in a suburban area, the second one is exactly offering it in the centre of
this
town
. Looking at the first offered location, S1, it is suggested to introduce the northwest countryside of the
town
near the railway which crosses from southeast to the Hindon
town
neighbour on the northwest of Garlsdon which has 10,000 inhabitants. The second suggestion is in the middle of the
town
centre in an area with no vehicle access.
This
no-traffic zone is surrounded by housing areas that have industry districts on both south and north of it.
Furthermore
, not only is
this
supermarket located just south of the railway but
also
the main roads from the west and east of the outer layer connect lengthed to two other cities. Whereas16km To the southwest is Brandson with 15,000 residents, Cransdon is located 25km far from the southeast with 29,000 people.
Submitted by memari.pedram on

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Basic structure: Change the third paragraph.
Basic structure: Change the fourth paragraph.
Vocabulary: Rephrase your introduction. Words match: 67%.
Vocabulary: Replace the words town with synonyms.
Vocabulary: Rephrase the word "undefined" in your introduction.
Vocabulary: Only 4 basic words for charts were used.
Vocabulary: The word "map" was used 2 times.
Vocabulary: Use several vocabularies to present the data in the third paragraph.
Vocabulary: Use several vocabularies to present the data in the fourth paragraph.
Topic Vocabulary:
  • Accessibility
  • Congestion
  • Economic benefits
  • Environmental impact
  • Foot traffic
  • Green space
  • Job creation
  • Local property values
  • Parking availability
  • Pollution
  • Proximity
  • Public transportation
  • Sustainability
  • Traffic patterns
  • Residential areas
  • Shopping convenience
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