Our cities are noisier than ever before. Why is this so, and what can be done about it?
Noise pollution nowadays is considered a new problem compared with the past. Although there can be found root causes contributing to this situation, there also exists noticeable solutions to be employed to fix the problem.
Two main reasons play an important role in changing cities into noisy ones. First and foremost, population density is believed to be too much due to a considerable amount of countless amenities available to dwellers. To put it another way, investing staggeringly in metropolises by governments gives rise to a huge migration from the countryside to the cities teeming with facilities. The increase in population leads to a fair amount of daily commutes and heavy congestions. Take highly congested highways as example. The more people get stuck in traffic, the more they become furious and tend to use car horns. As a consequence, residents living across freeways can rarely experience tranquility. Secondly, one of the most popular jobs in heavily urbanized areas is running a coffeeshop or bars. When one is passing through the streets of a big city neighborhood by neighborhood, they can be surprised b the number of options of restaurants and bars accessible to them in order to have some food and enjoy their pastime. Taking into account that these cafes and bars usually have tendency towards playing music to cheer up the atmosphere, this can hugely increase the volume of noise pollution in the vicinity.
Despite the aforementioned contributing factor, there are workable solutions to remedy the situation. One measure which could be taken by government is to formulate a system for spending money on different districts fairly. That is to say, the establishment should define a formula based on the need of each state under its jurisdiction for controlling fair distribution of budget among the states. This method can potentially convince people to stay at their provinces rather than trying to migrate from them. Take Germany as example. The authorities provide people of each district with enough facilities that they hardly change their habitat. Therefore, the population density is kept reasonable at each state and as a result, the noise pollution is controlled better. Another viable alternative is to specify the number of restaurants allowed to be open at each neighborhood by law. This can help officials control the amount of noisy crowded bars which can be highly contributing to the matter of noise pollution.
To conclude, cities have changed into high noise polluted regions mostly because of overpopulation and a great deal of restaurants in each vicinity. Having said that, governments should focus on distributing the budget fairly in country and limiting the number of restaurants in the cities.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2024-07-22 | MEBC Class | 100 | view |
| 2023-11-07 | BoyClazz | 89 | view |
| 2023-10-01 | Priyanka Mohan | 84 | view |
| 2023-09-15 | Mollymaul | 84 | view |
| 2023-08-17 | Emali mody | 61 | view |
- Many governments think that economic progress is their most important goal Some people however think that other types of progress are equally important for a country Discuss both views and give your own opinion 84
- Living in a country where you have to speak a foreign language can cause serious social problems as well as practical problems To what extent do you agree or disagree 61
- Today more and more tourists are visiting places where conditions are difficult such as the Sahara desert or the Antarctic What are the benefits and disadvantages for tourists who visit such places 89
- Our cities are noisier than ever before Why is this so and what can be done about it 84
- Some people say that it is possible to tell a lot about a person s culture and character from their choice of clothes Do you agree or disagree 61
Transition Words or Phrases used:
also, but, first, if, second, secondly, so, therefore, well, as a result, that is to say
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 17.0 13.1623246493 129% => OK
Auxiliary verbs: 11.0 7.85571142285 140% => OK
Conjunction : 10.0 10.4138276553 96% => OK
Relative clauses : 7.0 7.30460921844 96% => OK
Pronoun: 19.0 24.0651302605 79% => OK
Preposition: 74.0 41.998997996 176% => OK
Nominalization: 17.0 8.3376753507 204% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 2312.0 1615.20841683 143% => OK
No of words: 440.0 315.596192385 139% => Less content wanted.
Chars per words: 5.25454545455 5.12529762239 103% => OK
Fourth root words length: 4.57997565096 4.20363070211 109% => OK
Word Length SD: 2.97354381335 2.80592935109 106% => OK
Unique words: 255.0 176.041082164 145% => OK
Unique words percentage: 0.579545454545 0.561755894193 103% => OK
syllable_count: 729.0 506.74238477 144% => OK
avg_syllables_per_word: 1.7 1.60771543086 106% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 5.0 5.43587174349 92% => OK
Article: 7.0 2.52805611222 277% => Less articles wanted as sentence beginning.
Subordination: 3.0 2.10420841683 143% => OK
Conjunction: 0.0 0.809619238477 0% => OK
Preposition: 3.0 4.76152304609 63% => OK
Performance on sentences:
How many sentences: 23.0 16.0721442886 143% => OK
Sentence length: 19.0 20.2975951904 94% => OK
Sentence length SD: 44.8366495378 49.4020404114 91% => OK
Chars per sentence: 100.52173913 106.682146367 94% => OK
Words per sentence: 19.1304347826 20.7667163134 92% => OK
Discourse Markers: 3.82608695652 7.06120827912 54% => More transition words/phrases wanted.
Paragraphs: 4.0 4.38176352705 91% => OK
Language errors: 0.0 5.01903807615 0% => OK
Sentences with positive sentiment : 14.0 8.67935871743 161% => OK
Sentences with negative sentiment : 5.0 3.9879759519 125% => OK
Sentences with neutral sentiment: 4.0 3.4128256513 117% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.140532114448 0.244688304435 57% => OK
Sentence topic coherence: 0.0351561791466 0.084324248473 42% => OK
Sentence topic coherence SD: 0.0446973982069 0.0667982634062 67% => OK
Paragraph topic coherence: 0.0846701838152 0.151304729494 56% => OK
Paragraph topic coherence SD: 0.0354912414741 0.056905535591 62% => OK
Essay readability:
automated_readability_index: 12.9 13.0946893788 99% => OK
flesch_reading_ease: 43.73 50.2224549098 87% => OK
smog_index: 8.8 7.44779559118 118% => OK
flesch_kincaid_grade: 11.9 11.3001002004 105% => OK
coleman_liau_index: 13.17 12.4159519038 106% => OK
dale_chall_readability_score: 9.17 8.58950901804 107% => OK
difficult_words: 128.0 78.4519038076 163% => OK
linsear_write_formula: 9.0 9.78957915832 92% => OK
gunning_fog: 9.6 10.1190380762 95% => OK
text_standard: 9.0 10.7795591182 83% => OK
What are above readability scores?
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Rates: 84.2696629213 out of 100
Scores by essay e-grader: 7.5 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.