The table below shows the results of a survey of the average number of cars per hour using three suburban roads during working hours in a ten-year pollution monitoring programme. Traffic calming (methods of slowing down traffic, e.g by building raised areas across road) was introduced in Harper Lane at the beginning of 1999. Summarise the information by selecting and reporting the main features, and make comparation where relevant.
This table indicates information about three different roads in the outskirts and the regular figures of cars utilized per hour on each road around the time of working, which are the outcomes of a survey in a pollution monitoring programme over a span of 10 years.
What stands out from the data is that the average numbers of cars used per hour on Great York Way and Long Lane are obviously higher than these numbers on Harper Lane. It can be immediately seen that the usual figure of cars driven per hour on Harper Lane is remarkably lower over the later half of the time period.
Looking at the table, we can see that the regular numbers of cars per hour using Great York Way and Long Lane experienced a sharp increase. At the beginning, the average figure of cars on Great York Way was significantly higher than this figure on Long Lane by 200 cars. However, after 10 years, the usual number of cars on Long Lane reached a peak up to 1400 cars in 2002, which was an approximately twofold growth.
Whereas, on Harper Lane, the average number of cars used per hour witnessed a gradual rise from 1993 to 1998, with 82 cars at first and 915 cars at the end. From the beginning of 1999, traffic calming was put in practice on Harper Lane; therefore, there was a steep drop in driving cars on this road, with nearly 200 cars driven per hour in the following years.
| Post date | Users | Rates | Link to Content |
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| 2021-12-05 | ngocminh9x | 73 | view |
| 2019-08-18 | Manititus | 11 | view |
| 2018-07-10 | Dharamsingh12 | 83 | view |
| 2017-12-11 | milanree1527@yahoo.com | 76 | view |
| 2015-06-25 | roxanaluca | 73 | view |
- The table below shows the results of a survey of the average number of cars per hour using three suburban roads during working hours in a ten year pollution monitoring programme Traffic calming methods of slowing down traffic e g by building raised areas 73
- In the past most people used to travel to their place of work With increased use of computers the Internet and smartphones more and more people are starting to work from home Do the advantages of this outweigh the disadvantages 61
Transition Words or Phrases used:
first, however, if, look, therefore, whereas
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 9.0 7.0 129% => OK
Auxiliary verbs: 2.0 1.00243902439 200% => OK
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 5.0 3.15609756098 158% => OK
Pronoun: 9.0 5.60731707317 161% => Less pronouns wanted
Preposition: 47.0 33.7804878049 139% => OK
Nominalization: 2.0 3.97073170732 50% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1121.0 965.302439024 116% => OK
No of words: 251.0 196.424390244 128% => OK
Chars per words: 4.46613545817 4.92477711251 91% => OK
Fourth root words length: 3.98032404683 3.73543355544 107% => OK
Word Length SD: 2.29070153767 2.65546596893 86% => OK
Unique words: 127.0 106.607317073 119% => OK
Unique words percentage: 0.505976095618 0.547539520022 92% => More unique words wanted or less content wanted.
syllable_count: 337.5 283.868780488 119% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 3.0 1.53170731707 196% => OK
Article: 3.0 4.33902439024 69% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 0.0 0.482926829268 0% => OK
Preposition: 6.0 3.36585365854 178% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 31.0 22.4926829268 138% => The Avg. Sentence Length is relatively long.
Sentence length SD: 41.6893271714 43.030603864 97% => OK
Chars per sentence: 140.125 112.824112599 124% => OK
Words per sentence: 31.375 22.9334400587 137% => OK
Discourse Markers: 5.5 5.23603664747 105% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 6.0 3.70975609756 162% => OK
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 1.0 4.09268292683 24% => More facts, knowledge or examples wanted.
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.254365003911 0.215688989381 118% => OK
Sentence topic coherence: 0.127551585353 0.103423049105 123% => OK
Sentence topic coherence SD: 0.058338661483 0.0843802449381 69% => OK
Paragraph topic coherence: 0.175355124923 0.15604864568 112% => OK
Paragraph topic coherence SD: 0.0458510728816 0.0819641961636 56% => OK
Essay readability:
automated_readability_index: 15.3 13.2329268293 116% => OK
flesch_reading_ease: 65.39 61.2550243902 107% => OK
smog_index: 8.8 6.51609756098 135% => OK
flesch_kincaid_grade: 11.8 10.3012195122 115% => OK
coleman_liau_index: 9.24 11.4140731707 81% => OK
dale_chall_readability_score: 7.88 8.06136585366 98% => OK
difficult_words: 43.0 40.7170731707 106% => OK
linsear_write_formula: 19.0 11.4329268293 166% => OK
gunning_fog: 14.4 10.9970731707 131% => OK
text_standard: 9.0 11.0658536585 81% => OK
What are above readability scores?
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Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 Out of 9
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.