B. Office
Space and Tall Buildings
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Firms using offices gather, process, and distribute
tacit information - information
that requires face-to-face interaction between workers
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Ex. - Bankers, accountants, financial consultants, marketing
strategists, product designers, lawyers
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1. Price of office space
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a. Interaction travel cost
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b. Willingness to pay for office space
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c. Impact of labor accessibility and wages
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2. Building height and land prices
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a. Price of office space and building height
(1) Intra-building travel cost - more time travelling within a
building as height increases
(2) Altitude amenity - more status and better view with higher
levels
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b. Profit maximizing building height
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c. Willingness to pay for land
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d. Input substitution
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Isoquant - shows the different
combinations of inputs that can produce the same level of output
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Cost minimization - want to
produce a given level of output (office space) at the lowest
possible cost
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Taller buildings requirement more capital for construction -
reinforcement of lower levels, space needed for elevators and
stairs
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3. Competition to be tallest
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4. Office subcenters
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High density (at least 7.5 million sf per square mile) - primary
downtowns
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Medium density (2 - 3.5 million sf per square mile) - secondary
downtowns, edge cities, urban envelopes, corridors
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Low density (less than 2 million sf per square mile) - dispersed
|
High Density (center) |
Medium Density (subcenter) |
Low Density (dispersed) |
13 Metros |
0.33 |
0.28 |
0.40 |
Atlanta |
0.07 |
0.55 |
0.38 |
Boston |
0.39 |
0.11 |
0.50 |
Chicago |
0.49 |
0.11 |
0.39 |
Dallas-Ft. Worth |
0.21 |
0.39 |
0.34 |
Denver |
0.27 |
0.22 |
0.51 |
Detroit |
0.17 |
0.29 |
0.54 |
Houston |
0.23 |
0.43 |
0.35 |
Los Angeles |
0.16 |
0.38 |
0.46 |
Miami |
0.09 |
0.19 |
0.72 |
New York |
0.55 |
0.13 |
0.32 |
San Francisco |
0.39 |
0.21 |
0.39 |
Washington, D.C. |
0.23 |
0.53 |
0.24 |
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