Some cities have introduced traffic congestion tax to tackle the issue do you thin it is a positive or negative development Give examples

Essay topics:

Some cities have introduced traffic congestion tax to tackle the issue, do you thin it is a positive or negative development. Give examples.

Growing number of cars on the road and congestion is causing problems for the authorities. Some countries have proposed congestion tax to tackle this issue. I think that this can be a positive development. Analysing the factors such as significant reduction in a number of cars, air and noise pollution and clean environment will prove this.
Firstly, we see a reduction in a number of cars entering the city after the tax. People look for alternate routes and times to avoid the traffic. For example, entering London during rush hours costs 10£. This forces people to look for alternate time and routes to enter the city. Similarly, people prefer using buses in Dublin during rush hours over their cars just to avoid the congestion. Hence reducing the traffic load on city road. The actual reduction in cars is thus positive factor for the cities itself.
Secondly, less number of cars reduce the overall air and noise pollution. A recent survey in UK and China shows that implementation of tax has significantly reduced the pollution levels. This allows the people to live in a pure environment and thus bringing a positive change.
On the contrary, many people may argue that governments should spend money on public transport systems rather than tax but such systems take time and money to develop and might not be the right thing to do at present time.
In conclusion, the actual reduction in the number of cars and less air and noise pollution are the advantages brought in by congestion tax. I agree that it is a positive development but the need of the hour is to develop better public transport systems by the government.

Votes
Average: 6.3 (2 votes)

Comments

Grammar and spelling errors:
Line 2, column 199, Rule ID: CURRENCY[1]
Message: The currency mark is usually put at the beginning of the number: '£10'.
Suggestion: £10
...entering London during rush hours costs 10£. This forces people to look for alterna...
^^^
Line 2, column 391, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Hence,
...heir cars just to avoid the congestion. Hence reducing the traffic load on city road....
^^^^^

Transition Words or Phrases used:
but, first, firstly, hence, if, look, may, second, secondly, similarly, so, thus, for example, i think, in conclusion, such as, on the contrary

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 7.0 13.1623246493 53% => More to be verbs wanted.
Auxiliary verbs: 6.0 7.85571142285 76% => OK
Conjunction : 14.0 10.4138276553 134% => OK
Relative clauses : 4.0 7.30460921844 55% => More relative clauses wanted.
Pronoun: 15.0 24.0651302605 62% => OK
Preposition: 36.0 41.998997996 86% => OK
Nominalization: 18.0 8.3376753507 216% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.

Performance on vocabulary words:
No of characters: 1357.0 1615.20841683 84% => OK
No of words: 279.0 315.596192385 88% => More content wanted.
Chars per words: 4.86379928315 5.12529762239 95% => OK
Fourth root words length: 4.08696624509 4.20363070211 97% => OK
Word Length SD: 2.63040927258 2.80592935109 94% => OK
Unique words: 147.0 176.041082164 84% => More unique words wanted.
Unique words percentage: 0.52688172043 0.561755894193 94% => More unique words wanted or less content wanted.
syllable_count: 418.5 506.74238477 83% => OK
avg_syllables_per_word: 1.5 1.60771543086 93% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 5.0 5.43587174349 92% => OK
Interrogative: 0.0 0.384769539078 0% => OK
Article: 3.0 2.52805611222 119% => OK
Subordination: 0.0 2.10420841683 0% => More adverbial clause wanted.
Conjunction: 0.0 0.809619238477 0% => OK
Preposition: 2.0 4.76152304609 42% => More preposition wanted as sentence beginning.

Performance on sentences:
How many sentences: 17.0 16.0721442886 106% => OK
Sentence length: 16.0 20.2975951904 79% => The Avg. Sentence Length is relatively short.
Sentence length SD: 42.6911334117 49.4020404114 86% => OK
Chars per sentence: 79.8235294118 106.682146367 75% => OK
Words per sentence: 16.4117647059 20.7667163134 79% => OK
Discourse Markers: 8.41176470588 7.06120827912 119% => OK
Paragraphs: 5.0 4.38176352705 114% => OK
Language errors: 2.0 5.01903807615 40% => OK
Sentences with positive sentiment : 8.0 8.67935871743 92% => OK
Sentences with negative sentiment : 4.0 3.9879759519 100% => OK
Sentences with neutral sentiment: 5.0 3.4128256513 147% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.16725324908 0.244688304435 68% => OK
Sentence topic coherence: 0.0616662542984 0.084324248473 73% => OK
Sentence topic coherence SD: 0.0768163150408 0.0667982634062 115% => OK
Paragraph topic coherence: 0.0885577581098 0.151304729494 59% => OK
Paragraph topic coherence SD: 0.0539211141415 0.056905535591 95% => OK

Essay readability:
automated_readability_index: 9.7 13.0946893788 74% => Automated_readability_index is low.
flesch_reading_ease: 63.7 50.2224549098 127% => OK
smog_index: 3.1 7.44779559118 42% => Smog_index is low.
flesch_kincaid_grade: 8.4 11.3001002004 74% => OK
coleman_liau_index: 10.61 12.4159519038 85% => OK
dale_chall_readability_score: 7.94 8.58950901804 92% => OK
difficult_words: 62.0 78.4519038076 79% => More difficult words wanted.
linsear_write_formula: 6.0 9.78957915832 61% => OK
gunning_fog: 8.4 10.1190380762 83% => OK
text_standard: 8.0 10.7795591182 74% => OK
What are above readability scores?

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Rates: 56.1797752809 out of 100
Scores by essay e-grader: 5.0 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.