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 was introduced in Harper Lane at the beginning of 1989.
The solution system is solving the problem on the three roads in narrow-minded of the main city during a busy hour in a 10-year period is presented in a table.
From 1993 to 1998, people who drove cars through Harper Lane increased dramatically between 82 and 915. A rise of 833 cars per hour in a 5-year period. The number of cars passing by Great York way experienced fluctuation with an upward trend. After reaching a peak of 800 cars in 1996 the figure for the ones in Long Lane showed steady declined, but this rebounced back to 700 in 1998.
By 2002, the cars passing by Harper Lane had shown a dramatic decrease by 722 one to the implementation of traffic calming while the number of ding cars in Great York way had increased sharply and continued to hover around 900 cars.
Overall, the methods hand successfully minimized the crowded roads, by implementing systems. Harper Lane was the highest decreased while the other has increased the main trends towards the end of the year.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2019-06-16 | aldryan.wb | 78 | view |
| 2019-04-23 | Indri Eka Putri | 78 | view |
| 2018-10-31 | ymyhcd | 78 | view |
| 2018-07-10 | Sharma Saab | 67 | view |
| 2016-12-15 | elnuroruclu | 87 | view |
- The table below gives information about the problems faced by children in two primary schools in 2005 and 2015 82
- Advertising is commonly found what are the advantages and disadvantages of advertising? 78
- The graph below shows the differences in wheat exports over three different areas. 11
- 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 was introduced in Harper Lane at the beginning of 1989. 78
- The graph gives information about the consumption of fast food (in grams per week), in the UK from 1970 to 1990. 61
Transition Words or Phrases used:
but, so, while
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 3.0 7.0 43% => More to be verbs wanted.
Auxiliary verbs: 0.0 1.00243902439 0% => OK
Conjunction : 3.0 6.8 44% => More conjunction wanted.
Relative clauses : 1.0 3.15609756098 32% => OK
Pronoun: 1.0 5.60731707317 18% => OK
Preposition: 32.0 33.7804878049 95% => OK
Nominalization: 3.0 3.97073170732 76% => OK
Performance on vocabulary words:
No of characters: 822.0 965.302439024 85% => OK
No of words: 175.0 196.424390244 89% => More content wanted.
Chars per words: 4.69714285714 4.92477711251 95% => OK
Fourth root words length: 3.63713576256 3.73543355544 97% => OK
Word Length SD: 2.57998576171 2.65546596893 97% => OK
Unique words: 110.0 106.607317073 103% => OK
Unique words percentage: 0.628571428571 0.547539520022 115% => OK
syllable_count: 232.2 283.868780488 82% => OK
avg_syllables_per_word: 1.3 1.45097560976 90% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 0.0 1.53170731707 0% => OK
Article: 5.0 4.33902439024 115% => OK
Subordination: 1.0 1.07073170732 93% => OK
Conjunction: 1.0 0.482926829268 207% => Less conjunction wanted as sentence beginning.
Preposition: 4.0 3.36585365854 119% => OK
Performance on sentences:
How many sentences: 8.0 8.94146341463 89% => OK
Sentence length: 21.0 22.4926829268 93% => OK
Sentence length SD: 52.2958829641 43.030603864 122% => OK
Chars per sentence: 102.75 112.824112599 91% => OK
Words per sentence: 21.875 22.9334400587 95% => OK
Discourse Markers: 1.75 5.23603664747 33% => More transition words/phrases wanted.
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 0.0 1.69756097561 0% => OK
Sentences with positive sentiment : 7.0 3.70975609756 189% => OK
Sentences with negative sentiment : 0.0 1.13902439024 0% => More negative sentences wanted.
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: 0.233765504392 0.215688989381 108% => OK
Sentence topic coherence: 0.0966704349531 0.103423049105 93% => OK
Sentence topic coherence SD: 0.0591316003671 0.0843802449381 70% => OK
Paragraph topic coherence: 0.128122826439 0.15604864568 82% => OK
Paragraph topic coherence SD: 0.0316270595632 0.0819641961636 39% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 11.6 13.2329268293 88% => Automated_readability_index is low.
flesch_reading_ease: 75.54 61.2550243902 123% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 7.9 10.3012195122 77% => OK
coleman_liau_index: 9.98 11.4140731707 87% => OK
dale_chall_readability_score: 8.11 8.06136585366 101% => OK
difficult_words: 38.0 40.7170731707 93% => OK
linsear_write_formula: 10.5 11.4329268293 92% => OK
gunning_fog: 10.4 10.9970731707 95% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?
---------------------
Rates: 78.6516853933 out of 100
Scores by essay e-grader: 7.0 Out of 9
---------------------
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.