Shrinking Cities! - PowerPoint PPT Presentation

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Shrinking Cities!

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Technologies for Stores ... store/20,000 people 4 stores in ... People in S cities shop in M and L cities, but people in L cities shop only in L cities Why? ... – PowerPoint PPT presentation

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Title: Shrinking Cities!


1
Shrinking Cities!
2
Define
  • Small cities -- Population between 100,000 and
    500,000
  • Large cities -- Population gt 500,000
  • Since 1950 total population of small cities has
    been growing faster than that of large cities.

3
Cumulative Pop. (millions)
4
Population Losses
  • They have been significant -- in the hundreds of
    thousands in NY, Chicago, Detroit, Philadelphia,
    Cleveland, St. Louis.
  • They have generally been in metro areas that have
    been growing.
  • Look at pop_90_00.xls spreadsheet

5
Some Turnaround in 1990s
6
Vertical and Horizontal
  • Older cities were vertical. Discuss.
  • Newer cities are horizontal. Discuss.

7
Are Cities Like Shopping Malls
  • Vacancies -- What do you do?
  • Lower rents?
  • Offer tax breaks?
  • Close the mall?
  • Can you close a city?

8
Managing shrinkage
  • Is shrinkage necessarily bad?
  • What about regional government?
  • What do we do with empty tracts of land?

9
Radical proposal
  • De-annex part of their cities to private
    developers to create a smaller, more viable city.
    How?
  • Provide funds to (now) smaller city.
  • Reduce costs to (now) smaller city.
  • Lead (possibly) to quicker development than if
    they were parts of the larger city
  • What do you think?

10
Central Place Theory
  • Within a region, youll have a set of cities
  • Some BIG ones
  • Some smaller ones
  • Some tiny ones
  • How many cities will develop?
  • Why are some larger than others?

11
Central Place Theory
  • Suppose, within a region, you have three consumer
    products
  • CDs
  • Pizzas
  • Jewelry
  • What are their characteristics?

12
What does our region look like?
  • Uniform density -- 80,000 people
  • No shopping externalities
  • Ubiquitous inputs
  • Uniform demand

13
Technologies for Stores
  • Jewelry -- Operates at larger scale ? 1
    store/80,000 people ? 1 store in region.
  • Compact disks ? 1 store/20,000 people ? 4 stores
    in region
  • Pizza ? 1 store/5,000 people ? 16 stores in region

14
City S 1 Pizza
City S 1 Pizza
City S 1 Pizza
City S 1 Pizza
City L 1 Jeweler 2 CD 4 Pizza
City M 1 CD 2 Pizza
City M 1 CD 2 Pizza
5000
10000
20000
City S 1 Pizza
City S 1 Pizza
City S 1 Pizza
City S 1 Pizza
15
Hierarchy of Cities
  • Larger city ? larger variety of goods sold
  • People in S cities shop in M and L cities, but
    people in L cities shop only in L cities Why?
  • If we have increasing economies in producing
    pizzas, what will happen to small cities?

16
Thoughts
  • Go over Exercises and Discussion Questions. I
    will almost certainly use them on exams.
  • Next time, we move on to Chapter 7. Well
    backtrack to Chapter 6 a little later in the term.
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