The best way to solve traffic and transport problems in cities is to encourage people from suburbs or the countryside to live in cities. To what extent do you agree or disagree?

It is suggested that encouraging suburban residents to migrate to
cities
is the best solution to tackle
traffic
congestion. With
this
, I completely disagree. In the first place, shifting
people
from the countryside to
cities
actually worsens the quality of city life and aggravates urban
traffic
congestion.
Firstly
,
this
urbanization switch would put immense stress on the city’s environment and infrastructure. A city holds and maintains a certain volume of residents based on its capacity.
For instance
, we have witnessed that
people
overflowed into
cities
to search for jobs, only to suffer poor living conditions and undermine local sustainability.
Secondly
, it greatly increases the urban population, making roads more congested. Since more
people
are moving into the urban areas, the residential, industrial and commercial areas would all be overwhelmed by cars during the peak hours. In the second place, there are much more effective solutions to lessen the
traffic
jam in the urban spheres. Most prominently, administrators can enlarge and improve public
transportation
networks.
Instead
of transferring suburban residents into urban citizens, it is more plausible to expand the bus and subway networks to rural areas.
This
urban-suburban interconnection can benefit all stakeholders by making commuting more affordable and convenient.
Additionally
, advances in technology can alleviate the existing
traffic
pressure and potentially change the whole future of urban
transportation
. Successful examples include Tencent’s attempts in Shenzhen of implementing the smart city
transportation
system. In conclusion, more
people
moving into
cities
will not address the existing
traffic
congestion
,
Remove the comma
apply
show examples
but
instead
worsen it.
However
, there are more feasible solutions,
such
as improving public
transportation
networks and investing in intelligent
traffic
management systems.
Submitted by kunyang1998 on

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