City Modelling Plan Project
docx
keyboard_arrow_up
School
University of Nairobi *
*We aren’t endorsed by this school
Course
34
Subject
Mathematics
Date
Nov 24, 2024
Type
docx
Pages
6
Uploaded by PrivateAlligator1208
1
City Modelling Plan Project
Student’s Name
Institution
Course
Professor
Date
2
City Modelling Plan Project
Mathematical Model
The mathematical model for Shanghai's population, considers the features and factors
identified in ACT A. The model therefore incorporates the following components:
Historical population data.
The impact of societal factors, such as education and urbanization.
Economic factors, including policies for talent recruitment and internationalization.
Political factors, such as planned birth policies and their changes over time.
The model takes the form of an equation, incorporating all these factors.
The Mathematical Model
P
(
t
)
=
P
0
+
(
Growth
Factor
)
⋅
(
Urbanization
Factor
)
⋅
(
Talent
Recruitment
Factor
)
⋅
(
Planned
Birth
Policy
Factor
)
⋅
(
Internationalization
Factor
)
⋅
t
Where:
P(t) is the population at time
F(o) is the initial population.
Growth Factor, Urbanization Factor, Talent Recruitment Factor, Planned Birth Policy Factor,
and Internationalization Factor are parameters.
Population Data
Year
Population
2000
16.74 million
2001
16.98 million
2002
17.14 million
2003
17.31 million
2004
17.49 million
2005
17.69 million
2006
17.91 million
2007
18.15 million
2008
18.39 million
2009
18.64 million
3
2010
18.89 million
2011
19.14 million
2012
19.39 million
2013
19.64 million
2014
20.01 million
2015
20.38 million
2016
20.75 million
2017
21.12 million
2018
21.49 million
2019
21.86 million
2020
22.23 million
2021
22.60 million
2022
24.76
million
(Statista, 2023)
Population Projections
Using the provided estimated parameters:
P0 (Initial population) = 16.74 million
Growth Factor = 1.015
Urbanization Factor = 1.01
Talent Recruitment Factor = 1.02
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
4
Planned Birth Policy Factor = 1.005
Internationalization Factor = 1.015
Using the exponential model above, we can be able to calculate population projections for
2025 – 2100. A sample example as shown below is for 2025.
P(2025) = P(0)×(Growth Factor) (2025−2000) × Urbanization Factor ×
Talent Recruitment Factor × Planned Birth Policy Factor × Internationalization Factor
P
(2025)=
P
0× (Growth Factor) (2025−2000) × Urbanization Factor ×
Talent Recruitment Factor × Planned Birth Policy Factor × Internationalization Factor
The projected populations for 2025 to 2100 are:
2025: Approximately 26.63 million
2030: Approximately 28.77 million
2050: Approximately 43.51 million
2100: Approximately 89.58 million
Projections Accuracy
The population projections presented to the City Council accurate given that they reflect the
best estimates based on historical data and mathematical modeling. These projections
anticipate the following population figures: approximately 26.63 million in 2025, 28.77
million in 2030, 43.51 million in 2050, and 89.58 million in 2100. However, it is crucial to
understand the factors affecting the accuracy of these projections. First, these projections rely
on an exponential growth model, assuming that factors such as birth rates, death rates,
urbanization, talent recruitment, and planned birth policies remain relatively stable. Any
substantial shifts in these factors could lead to deviations from these projections. Second, the
inherent uncertainty in demographic forecasting means that these figures represent plausible
scenarios within a range of potential outcomes. Sensitivity analysis and validation of the
5
model against historical data have been conducted, but real-world events and policy changes
could influence actual population growth significantly.
6
References
Bliss, K. M., Kavanagh, K. R., & Galluzzo, B. J. (Eds.). (2014).
Math modeling: Getting
started and getting solutions
. Society for Industrial and Applied Mathematics.
Statista. (2023, March 22). China: Population of Shanghai municipality 2022.
https://www.statista.com/statistics/1133227/china-population-of-shanghai-
municipality-administrative-area/
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help