1 Understanding Urban Growth Patterns Real Estate 690 Market Analysis for Real Estate Dr. Longhofer.

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Presentation transcript:

1 Understanding Urban Growth Patterns Real Estate 690 Market Analysis for Real Estate Dr. Longhofer

2 Why Study Urban Economics? Understanding why cities exist and how cities and regions develop over time is essential to identifying long-term trends in real estate markets

3 Why Are Cities Where They Are? Transportation factors –Rivers, rail, highways –Breaks in transportation Natural resources Climate and amenities –Suitability for particular industries –Desirability of location Labor force Created environment & leadership Educational facilities Industry economies of scale Agglomeration economies

4 Economic Base Analysis Industries in a city or region can be characterized by whether they serve the local population or distant communities –Basic activities (export activities) are those that produce goods or services for those outside the community –Nonbasic activities (population serving activities) produce goods and services for use within the local community

5 Economic Base Analysis In principle, increases in basic employment will have a multiplier effect within a community –For example, an increase of 1,000 aircraft manufacturing jobs in Wichita may increase total area employment by 2,000 jobs The size of the multiplier depends on the amount of “leakage” from the local economy –Materials required to manufacture aircraft parts represent leakages from this basic activity

6 Economic Base Analysis Growth in basic industries will have a direct impact on the demand for various types of real estate assets and the demand for other goods and services in the community In contrast, changes in nonbasic employment have less spillover impact on the rest of the community –Shifting dollars rather than bringing in new dollars to the community (e.g., new restaurants)

7 Location Quotients One way to identify basic activities is to calculate the location quotient for different industries A location quotient greater than one suggests that the industry is basic

8 Price-distance Relationships A key question for investors and market analysts is how prices and rents are determined in an urban area –Closely related is what determines the highest-and-best use of a parcel of land The central force creating cities is the demand for proximity – it is the “economic gravity” that holds a city together –A simple economic model shows how this gravity helps determine rents, values, and land-use

9 Deriving Bid-Rent Curves Consider a simple, two-dimensional city that has 318 households that work in the CBD and must commute to and from work each day (20 work days per month) –Commuting results in a loss of time for households; the opportunity cost of this time is the household’s wage rate Households live on lots that are 100 feet wide spreading out in both directions from the CBD; other than their distance from the CBC, each lot is identical

10 Deriving Bid-Rent Curves The cost of commuting will determine how much households will be willing to pay for lots that are close to the CBD –Each household earns $20 per hour and can commute 20 miles per hour –The cost of commuting is therefore $1 per mile per day ($20 per hour ÷ 20 miles per hour) –The monthly cost of commuting is $20 per mile ($1 per mile × 20 days per month)

11 Bid-Rent Curves 1 Mile 2 Miles 3 Miles The size of the city is determined by the number of households –318 households (159 on each side of the CBD) –The edge of the last lot is 159 × 100 feet = 15,900 feet from the CBD (midpoint is 15,850 feet from the CBD) The city expands 15,850 feet / 5,280 feet per mile ≈ 3 miles from the CBD in each direction CBD Rent Distance

12 Bid-Rent Curves Total commuting costs from the farthest lot will be $40 per mile × 3 miles = $120 per month The lot closest to the CBD will therefore save a household $120 per month in commuting costs compared to the farthest lot from the city If the rent for the farthest lot is $0, then the rent for the closest lot must be $120 per month 1 Mile 2 Miles 3 Miles CBD Rent Distance $120

13 Bid-Rent Curves Each additional mile a household lives from the CBD increases commuting costs by $40 per month –Someone living 1 mile from the CBD will be willing to pay $80 per month rent for the lot –Someone living 2 miles from the CBD will be willing to pay $40 per month in rent $120 $80 $40 Slope = – 40 1 Mile 2 Miles 3 Miles CBD Rent Distance

14 Factors Affecting Land Values Higher income levels (wage rates) will increase the opportunity cost of commuting, making the bid-rent curve steeper –This raises the rents and values of all lots proportionately to their distance from the CBD $120 $80 $40 1 Mile 2 Miles 3 Miles CBD Rent Distance

15 Factors Affecting Land Values Faster travel (reduced commuting costs) will decrease the opportunity cost of commuting, making bid-rent curve flatter –This lowers the rents and values of all lots proportionately to their distance from the CBD $120 $80 $40 1 Mile 2 Miles 3 Miles CBD Rent Distance

16 Factors Affecting Land Values More households increases the size of the city, raising rents at each point but leaving the slope of the bid-rent curve unchanged $120 $80 $40 1 Mile 2 Miles 3 Miles CBD Rent Distance

17 Factors Affecting Land Values Higher density housing (smaller lot sizes) reduces the size of the city and thus lowers rents at each point; the slope of the bid-rent curve remains unchanged $120 $80 $40 1 Mile 2 Miles 3 Miles CBD Rent Distance

18 Bid-Rent Curves

19 Higher-income housing Lower-income housing Slums, light manufacturing, luxury apartments, entertainments How Do Cities Grow? Concentric Circle Model Central business district

20 How Do Cities Grow? Axial Model Rail Line River Highway

21 How Do Cities Grow? Sector Model Central business district Lower-income housing Middle-income housing Industrial Upper-income Housing

22 How Do Cities Grow? Multiple-Nuclei Model –In many cities there is more than one central place –Each nucleus represents a location in which commercial and entertainment activities cluster –Reduces transportation time and congestion associated with only one central business district

23 Other Factors Affecting Urban Growth Geographic factors Transportation –Public transportation –Highways and roads Public services Public attitude toward development Leadership