ITS 832 - Zoning Assessment: Standard View for County of 750,000

This essay assesses zoning practices for a county of 750,000 residents using the standard view, considering factors like age, race, income, and education. It highlights how restrictive zoning can increase housing costs and segregation. The essay references historical context, including the Supreme Court's stance on racial zoning and the emergence of exclusionary zoning driven by suburbanization and school segregation. It also discusses the impact of zoning policies on lower-income families and the regulation of adult entertainment businesses. The author argues for careful consideration of fair housing laws in zoning decisions, emphasizing the need to update simulations based on prior implementations for optimal output. The essay concludes by referencing studies that demonstrate the negative impacts of adult entertainment businesses on property values and neighbourhood deterioration.

Zoning
Student’s name
Institution Affiliation(s)

In the scenario described, I would say Standard view is the best practice to assess zoning
for a county of 750,000 residents because of factors such as age, race, education, income, and
status. Scientists have established that prohibitive zoning raises lodging costs in coastal cities as
well as in rural areas and city neighbourhoods around the nation. If the region zoning law is
stricter, then the region is more segregated.
Firstly, a government judge concurred with them and brought up that the Supreme Court
had struck down racial zoning which isolated urban areas dependent on race. A couple of years
prior, this new type of zoning which set different parts of the city for various types of lodging
was intended to "order the population and isolate them as per their salary." Rather the high court
contended that zoning was fine since isolation was something worth doing. Individuals who lived
in lofts were "parasites" who were endeavouring to "exploit the appealing environment" that
wealthier individuals could bear (Edward & Haines, 2014).
That legacy went up against new significance in the repercussions of education when
social liberties advocates saw something intriguing. High-Level families were leaving school
regions where integration may constrain them to share schools with Low-Level families. They
were not moving the nation over but instead were moving to suburbs — and their rural school
areas (Shertzer, Twinam, & Walsh, 2016).
Low-Level People, in any case, were not tailing them, because these rural areas were
commonly not open to low-level people. This was valid for a ton of reasons, yet a major one was
that they were essentially unreasonably expensive. The sorts of lodging that individuals who had
recently been fleeced throughout the previous three centuries could purchase or lease were often
unlawful there because of zoning. Social equality activists took up the reason for what would be
known as "exclusionary zoning." (Moga, 2017)

Zoning policies such as large minimum lot requirements, minimum multifamily zoning,
and age-confined zoning may limit and restrain the capacity for lower salary families and groups
of shading from moving into specific neighbourhoods and rural areas. Such strict zoning
limitations limit the moderateness and number of rental multifamily lodging chances and ought
to be cautiously considered in light of fair housing laws (Arif, Cole, & Cole, 2015).
Lately, numerous urban areas have been occupied with all having announced zoning
activity to control and even to eliminate the presence of adult entertainment businesses within
their borders. These endeavours are, to a great extent, a reaction to the adult businesses effect's
these grown-up organizations has on surrounding communities (Shertzer et al., 2016).
For instance, demonstrated that the nearness of grown-up stimulation organizations in an
area prompts diminishes in property estimations, increments in property violations and sex
crimes and general neighbourhood deterioration. I would say this is the highest level of accuracy
because we have implemented these practices prior to this simulation, and from that evolutions,
we are updating the simulation to get the best output.

References
Arif, H., Cole, R. J., & Cole, I. A. (2015). Experiments with Smart Zoning for Smart Cities. In
D. Araya (Ed.), Smart Cities as Democratic Ecologies (pp. 173–199).
https://doi.org/10.1057/9781137377203_12
Edward, J., & Haines, A. L. (2014). Zoning for Sustainability: A Review and Analysis of the
Zoning Ordinances of 32 Cities in the United States. Journal of the American Planning
Association, 80(3), 239–252. https://doi.org/10.1080/01944363.2014.981200
Moga, S. T. (2017). The Zoning Map and American City Form. Journal of Planning Education
and Research, 37(3), 271–285. https://doi.org/10.1177/0739456X16654277
Shertzer, A., Twinam, T., & Walsh, R. P. (2016). Zoning and the Economic Geography of Cities
(Working Paper No. 22658). https://doi.org/10.3386/w22658