In urban areas, harmful motor vehicle emissions are responsible for anywhere between 50 and 90 percent of air pollution. Motor vehicles emit a number of pollutants- the most damaging to human health is particulate matter, a combination of organic material and inorganic substances. Should cars be banned from city centers in order to reduce pollution or should other measures be taken?
Major air pollution in cities spread by the emission of harmful gases from motor vehicles. The most dangerous pollutants which get released from motor vehicles are a combination of organic material and inorganic substances. It is often argued that whether cars should be banned from shopping malls or other measures should be taken to tackle this issue. This essay will discuss why banning vehicles from city centers is not an ultimate solution to mitigate air pollution and other approaches need to be undertaken.
Motor vehicles should not be banned from shopping malls to alleviate the level of air pollution. People travel to city centers basically for the purpose of shopping and it provides ease to them to carry back their shopping baggage directly to their home by their cars. It will certainly create a big problem of hiring public transport or taxis with huge numbers of shopping bags. Banning of cars will result into accumulation of more public transports and taxis near city centers, which will also lead to the increase in air pollution level. Hence, personal cars banning will not prove to be a realistic solution for alleviating air pollution level.
Several useful measures can be taken by the government in order to mitigate the air pollution level in cities. More precisely, by introducing more and more electric vehicles, the problem of air pollution can be reduced significantly. According to a recent study the air pollution level has been significantly dropped to a lower level by the use of electric motors in Bangalore city of India. Planting of more trees can also be a useful way to lower the air pollution level in the urban areas. Thus, by adopting to such measures we can alleviate the air pollution level in cities.
This essay discussed how banning of cars from city centers is not a proper solution to alleviate the air pollution in cities, however introduction of motor vehicles and plantation can play a key role in this course of action. In my view, we should focus more on the use of electric vehicles and planting of trees in order to mitigate the air pollution level in cities.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2018-08-24 | jyotikumari042 | 65 | view |
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Grammar and spelling errors:
Line 7, column 370, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...gate the air pollution level in cities.
^^
Transition Words or Phrases used:
also, hence, however, if, so, thus, in my view
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 13.0 10.5418719212 123% => OK
Auxiliary verbs: 15.0 6.10837438424 246% => Less auxiliary verb wanted.
Conjunction : 9.0 8.36945812808 108% => OK
Relative clauses : 3.0 5.94088669951 50% => More relative clauses wanted.
Pronoun: 15.0 20.9802955665 71% => OK
Preposition: 62.0 31.9359605911 194% => OK
Nominalization: 20.0 5.75862068966 347% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1768.0 1207.87684729 146% => OK
No of words: 358.0 242.827586207 147% => Less content wanted.
Chars per words: 4.93854748603 5.00649968141 99% => OK
Fourth root words length: 4.34981470047 3.92707691288 111% => OK
Word Length SD: 2.63558106858 2.71678728327 97% => OK
Unique words: 160.0 139.433497537 115% => OK
Unique words percentage: 0.446927374302 0.580463131201 77% => More unique words wanted or less content wanted.
syllable_count: 566.1 379.143842365 149% => OK
avg_syllables_per_word: 1.6 1.57093596059 102% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 5.0 4.6157635468 108% => OK
Article: 2.0 1.56157635468 128% => OK
Subordination: 0.0 1.71428571429 0% => More adverbial clause wanted.
Conjunction: 0.0 0.931034482759 0% => OK
Preposition: 4.0 3.65517241379 109% => OK
Performance on sentences:
How many sentences: 16.0 12.6551724138 126% => OK
Sentence length: 22.0 20.5024630542 107% => OK
Sentence length SD: 35.7156740802 50.4703680194 71% => OK
Chars per sentence: 110.5 104.977214359 105% => OK
Words per sentence: 22.375 20.9669160288 107% => OK
Discourse Markers: 2.875 7.25397266985 40% => More transition words/phrases wanted.
Paragraphs: 4.0 4.12807881773 97% => OK
Language errors: 1.0 5.33497536946 19% => OK
Sentences with positive sentiment : 8.0 6.9802955665 115% => OK
Sentences with negative sentiment : 5.0 2.75862068966 181% => OK
Sentences with neutral sentiment: 3.0 2.91625615764 103% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.205468736429 0.242375264174 85% => OK
Sentence topic coherence: 0.0894776745228 0.0925447433944 97% => OK
Sentence topic coherence SD: 0.0700183660215 0.071462118173 98% => OK
Paragraph topic coherence: 0.13937374051 0.151781067708 92% => OK
Paragraph topic coherence SD: 0.0379555516447 0.0609392437508 62% => OK
Essay readability:
automated_readability_index: 13.0 12.6369458128 103% => OK
flesch_reading_ease: 49.15 53.1260098522 93% => OK
smog_index: 3.1 6.54236453202 47% => Smog_index is low.
flesch_kincaid_grade: 11.9 10.9458128079 109% => OK
coleman_liau_index: 11.67 11.5310837438 101% => OK
dale_chall_readability_score: 8.3 8.32886699507 100% => OK
difficult_words: 81.0 55.0591133005 147% => OK
linsear_write_formula: 10.5 9.94827586207 106% => OK
gunning_fog: 10.8 10.3980295567 104% => OK
text_standard: 11.0 10.5123152709 105% => OK
What are above readability scores?
---------------------
Rates: 65.0 out of 100
Scores by essay e-grader: 58.5 Out of 90
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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.