SlideShare a Scribd company logo
1 of 4
Bid Rent

Within this theory, patterns of land use are determined by land values that are, in turn, related to transportation
costs. We will find that each type of urban activity will have its own bid rent function and the combination of
several bid rent functions will define the rent gradient.

To begin, we will examine how different firms use urban land.

These assumptions are not meant to reflect the reality of cities. Rather, assumptions allow us to focus attention
on the most important aspects of the inquiry. As we proceed, some of these assumptions will be relaxed so we
can introduce more realism into our theories and models. For the moment, let us assume the following:


   1. The city is comprised of many identical producers that operate in a perfectly competitive
      environment.
   2. All land is privately owned.
   3. Since all firms are identical and sell in competitive markets, each firm generates a normal rate of
      profit, can sell as much as it wants, and faces the same set of production costs as all other firms.
   4. The market place for goods and services is located in the center of city such that all goods and
      services must be sold there. Consequently, for a firm to sell its product it must be transported to
      the market located at the city's center.
   5. Transportation costs are a linear function of distance. Therefore, total costs to the firm will be
      higher for firms located at greater distance from center.
   6. The city's population is evenly distributed and households have uniform tastes for housing.


Because transportation costs are low near the CBD and higher away from the CBD, firms locating near
the CBD are willing to pay more for centrally located parcels of land in order to minimize their
transportation costs. Similarly, because added transportation costs at more distant locations will reduce
profits, firms will not be willing to pay as much for land at more distant locations.

Because all firms are assumed to generate the same level of profit, and firms at more distant locations will incur
higher transportation costs, they will only be willing to bid up to the amount at which lower land costs are
exactly off-set by their higher transportation costs.

 Similarly, the higher value of land at the CBD reflects the capitalization of transport cost savings into the
price of land. This feature of urban land use theory causes land values to decline with distance from the center
city.

the amount one pays for the use of land is called rent and the way in which rent changes with distance is called
location rent.

The users of land are conceptualized as participating in an open bidding process such that the highest bidder for
a parcel of land will occupy that parcel. Because all persons involved in the bidding process have complete
information about costs at alternative locations (assumption #1), and no one will bid more for land than the land
is worth, the bidding process continues until bid rent exactly equals location rent.

 The graph that describes how rent declines with distance from the CBD is called the bid rent function and
illustrates how the value of land reflects its accessibility to the CBD. The basic shape of the bid rent function is
illustrated in Figure 2.


                                                          1
Figure 2 The Bid Rent Function

What happens when we allow more than one type of firm? Suppose we relax the first assumption above and
instead of having one type of economic activity we now have two, say, retailing and manufacturing. Each type
of activity will place a different value on accessibility.

How will land be divided between these two activities?

 If retailers value access to consumers more than manufacturers, and the population is evenly distributed
throughout the city, then retailers will want to locate in the center to maximize access to consumers

For manufacturers, access to markets and labor is important, but less important than for retailers. Under this
condition, the slope of the bid rent function for manufacturing will be flatter than the bid rent function for
retailers as seen in Figure 3.



                         Figure 3 Bid Rent Functions for Retail and
                         Manufacturing

In Figure 3, the intersection of the two bid rent functions (point d1) defines the point at which land use changes
from retail activities to manufacturing activities. We can draw a line from the intersection of these bid rent lines
down to the x-axis and mark the x-axis at d1. According to this graph, retailers would occupy land from the
CBD out to the point d1. Up to this point, the retail bid rent line is above the bid rent line for manufacturing.
Thus, up to the distance d1, retailers would be willing to out-bid manufactures for the use of land.

Beyond d1, the bid rent line for manufacturing is above the retail bid rent line, so manufacturers would be
willing to out-bid retailers for land from d1 to d2. Thus, under these conditions we would expect to find retail



                                                         2
activities at a distance of d1 from the CBD and manufacturing activities at a distance of d1 to d2.




So far, we have discussed only land uses for firms. In order to introduce the location of households, we must
drop the assumption of even population distribution (assumption #6) and allow households to compete for land
in the same manner as firms. It is likely that while many households will value access to the CBD to minimize
on commuting costs, many households will also value open space and lower density lifestyles. If this is the case,
then households will have a bid rent function for urban land that is flatter than the bid rent line for
manufacturers. This is illustrated in Figure 4.



                         Figure 4 Allocation of Land Between Three Uses

In Figure 4, we have three types of users of urban land: retail, manufacturing and residential. The bid rent
functions for retail and manufacturing are similar to those shown in Figure 3. Because of the flatness of the bid
rent line for residential use, we would expect to find households (residential land use) at the furthest distance
from the city's center. The point at which land changes from manufacturing use to residential use is marked on
the x-axis at point d2. Beyond d2, households would out-bid manufacturers for land and residential land use
would extend to the distance d3. Beyond d3, urban users do not value land and its value falls to the value of
agricultural land. If the city is symmetrical (which is never really the case) the pattern of land use will form a set
of concentric rings as show in Figure 4.




                                                          3
The rent gradient indicates the rate at which the value of urban land declines with distance from the CBD. It is
also worthy to note that because land prices increase closer to the CBD, centrally located land will be tend to be
used more intensively. The intensity of urban land use is correlated with the height of buildings (generally taller
buildings being located on higher valued land) which helps explain why tall buildings are found in central
business districts. As one moves away from the CBD both the value of land and its intensity of use decline, as
do the height of structures. The accompanying photograph of the Charlotte, North Carolina CBD provides a
good illustration of this point. The tallest building in the photograph is the corporate headquarters of Nations
Bank located in the heart of the CBD. Note how the height of buildings declines with distance from the Nations
Bank building.




          Downtown Charlotte, NC. Note the steep
          rent gradient implied by the height of buildings.   Figure 5 Generalized Urban Rent
          Click on the image to enlarge. Photo by David       Gradient
          Hartgen


While no city conforms exactly to the concentric ring pattern of land use, it is nevertheless a useful
concept in our discussion of urban land. To this day, most major cities have a traditional core that is
identifiable by its concentration of tall buildings. Although traditional core areas of cities have lost
some of their functional importance, they continue to be the symbolic center of the city. In reality,
most cities represent a kind of composite form of the three models of urban land use discussed
earlier. The multiple nuclei model, for example, can be thought of an urban form that has several
nodes, or centers of commerce with each node surrounded by a set of rings of different land uses.




                                                               4

More Related Content

Similar to Copy of bid rent )

Land use and land value theory ppt
Land use and land value theory pptLand use and land value theory ppt
Land use and land value theory pptgayathrysatheesan1
 
Regional 6
Regional 6Regional 6
Regional 6Jack Ong
 
bidrenttheoryofficesector
bidrenttheoryofficesectorbidrenttheoryofficesector
bidrenttheoryofficesectorSasadeCastro
 
Bid rent theory office sector
Bid rent theory office sectorBid rent theory office sector
Bid rent theory office sectorAbhishek Kanwar
 
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.2 URBAN TRENDS
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.2 URBAN TRENDSCAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.2 URBAN TRENDS
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.2 URBAN TRENDSGeorge Dumitrache
 
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.3 THE CHANGING STRUCTURE OF ...
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.3 THE CHANGING STRUCTURE OF ...CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.3 THE CHANGING STRUCTURE OF ...
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.3 THE CHANGING STRUCTURE OF ...George Dumitrache
 
Urban economics trade off theory
Urban economics trade off theoryUrban economics trade off theory
Urban economics trade off theorymousumighosh16
 
GenslerFinalDeliverable
GenslerFinalDeliverableGenslerFinalDeliverable
GenslerFinalDeliverableGreg Majersky
 
Chapter 9 Zoning and Growth Controls - Urban Economics 6th Edition
Chapter 9 Zoning and Growth Controls - Urban Economics 6th EditionChapter 9 Zoning and Growth Controls - Urban Economics 6th Edition
Chapter 9 Zoning and Growth Controls - Urban Economics 6th EditionParamita E.
 
Regional Planning- Theories of explaining the emergence of towns
Regional Planning- Theories of explaining the emergence of townsRegional Planning- Theories of explaining the emergence of towns
Regional Planning- Theories of explaining the emergence of townsAnamarie Camasin
 
Housing for All - Study of Rental Housing in modern Gurgaon
Housing for All - Study of Rental Housing in modern GurgaonHousing for All - Study of Rental Housing in modern Gurgaon
Housing for All - Study of Rental Housing in modern GurgaonMarinerz
 
Simulation of real estate price environment
Simulation of real estate price environmentSimulation of real estate price environment
Simulation of real estate price environmentSohin Shah
 
AS Geography - Urban morphology and model
AS Geography - Urban morphology and modelAS Geography - Urban morphology and model
AS Geography - Urban morphology and modelDavid Drake
 
DTZ Occupier Perspective - Global Occupancy Costs Offices 2014
DTZ Occupier Perspective - Global Occupancy Costs Offices 2014DTZ Occupier Perspective - Global Occupancy Costs Offices 2014
DTZ Occupier Perspective - Global Occupancy Costs Offices 2014Milena Kuljanin
 
Latest in location theory
Latest in location theoryLatest in location theory
Latest in location theoryShashank Gupta
 
Leasing commercial real estate final (owners 1.5) copy
Leasing commercial real estate final (owners 1.5)   copyLeasing commercial real estate final (owners 1.5)   copy
Leasing commercial real estate final (owners 1.5) copyVictor Henry, MSA
 
Savills Prime Office Cost Index Q1 2017
Savills Prime Office Cost Index Q1 2017Savills Prime Office Cost Index Q1 2017
Savills Prime Office Cost Index Q1 2017Will Butler
 
Undergrad HTMG3030 Real Estate Assignment.docx
Undergrad HTMG3030 Real Estate Assignment.docxUndergrad HTMG3030 Real Estate Assignment.docx
Undergrad HTMG3030 Real Estate Assignment.docxBrandy Wang
 

Similar to Copy of bid rent ) (20)

Land use and land value theory ppt
Land use and land value theory pptLand use and land value theory ppt
Land use and land value theory ppt
 
Regional 6
Regional 6Regional 6
Regional 6
 
bidrenttheoryofficesector
bidrenttheoryofficesectorbidrenttheoryofficesector
bidrenttheoryofficesector
 
Bid rent theory office sector
Bid rent theory office sectorBid rent theory office sector
Bid rent theory office sector
 
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.2 URBAN TRENDS
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.2 URBAN TRENDSCAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.2 URBAN TRENDS
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.2 URBAN TRENDS
 
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.3 THE CHANGING STRUCTURE OF ...
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.3 THE CHANGING STRUCTURE OF ...CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.3 THE CHANGING STRUCTURE OF ...
CAMBRIDGE AS GEOGRAPHY REVISION: SETTLEMENTS - 6.3 THE CHANGING STRUCTURE OF ...
 
Urban economics trade off theory
Urban economics trade off theoryUrban economics trade off theory
Urban economics trade off theory
 
GenslerFinalDeliverable
GenslerFinalDeliverableGenslerFinalDeliverable
GenslerFinalDeliverable
 
Chapter 9 Zoning and Growth Controls - Urban Economics 6th Edition
Chapter 9 Zoning and Growth Controls - Urban Economics 6th EditionChapter 9 Zoning and Growth Controls - Urban Economics 6th Edition
Chapter 9 Zoning and Growth Controls - Urban Economics 6th Edition
 
Regional Planning- Theories of explaining the emergence of towns
Regional Planning- Theories of explaining the emergence of townsRegional Planning- Theories of explaining the emergence of towns
Regional Planning- Theories of explaining the emergence of towns
 
T1 w9
T1 w9T1 w9
T1 w9
 
Housing for All - Study of Rental Housing in modern Gurgaon
Housing for All - Study of Rental Housing in modern GurgaonHousing for All - Study of Rental Housing in modern Gurgaon
Housing for All - Study of Rental Housing in modern Gurgaon
 
Simulation of real estate price environment
Simulation of real estate price environmentSimulation of real estate price environment
Simulation of real estate price environment
 
AS Geography - Urban morphology and model
AS Geography - Urban morphology and modelAS Geography - Urban morphology and model
AS Geography - Urban morphology and model
 
DTZ Occupier Perspective - Global Occupancy Costs Offices 2014
DTZ Occupier Perspective - Global Occupancy Costs Offices 2014DTZ Occupier Perspective - Global Occupancy Costs Offices 2014
DTZ Occupier Perspective - Global Occupancy Costs Offices 2014
 
Latest in location theory
Latest in location theoryLatest in location theory
Latest in location theory
 
Leasing commercial real estate final (owners 1.5) copy
Leasing commercial real estate final (owners 1.5)   copyLeasing commercial real estate final (owners 1.5)   copy
Leasing commercial real estate final (owners 1.5) copy
 
Bengaluru oct-dec-2014
Bengaluru oct-dec-2014Bengaluru oct-dec-2014
Bengaluru oct-dec-2014
 
Savills Prime Office Cost Index Q1 2017
Savills Prime Office Cost Index Q1 2017Savills Prime Office Cost Index Q1 2017
Savills Prime Office Cost Index Q1 2017
 
Undergrad HTMG3030 Real Estate Assignment.docx
Undergrad HTMG3030 Real Estate Assignment.docxUndergrad HTMG3030 Real Estate Assignment.docx
Undergrad HTMG3030 Real Estate Assignment.docx
 

More from Moses Lutta

The work of rivers 2
The work of rivers 2The work of rivers 2
The work of rivers 2Moses Lutta
 
The work of rivers
The work of riversThe work of rivers
The work of riversMoses Lutta
 
Meander formation in the middle course of a.ppt
Meander formation in the middle course of a.pptMeander formation in the middle course of a.ppt
Meander formation in the middle course of a.pptMoses Lutta
 
Maureen's geo task
Maureen's geo taskMaureen's geo task
Maureen's geo taskMoses Lutta
 
Conduct demographic research to
Conduct demographic research toConduct demographic research to
Conduct demographic research toMoses Lutta
 
Government policies on incresing fertility rate.ppt
Government policies on incresing fertility rate.pptGovernment policies on incresing fertility rate.ppt
Government policies on incresing fertility rate.pptMoses Lutta
 
Tropicalcyclones 091124165030-phpapp02
Tropicalcyclones 091124165030-phpapp02Tropicalcyclones 091124165030-phpapp02
Tropicalcyclones 091124165030-phpapp02Moses Lutta
 
2 introduction-to-hurricanes-1227475599659639-9
2 introduction-to-hurricanes-1227475599659639-92 introduction-to-hurricanes-1227475599659639-9
2 introduction-to-hurricanes-1227475599659639-9Moses Lutta
 
Tropstormgapfill
TropstormgapfillTropstormgapfill
TropstormgapfillMoses Lutta
 
Tropical storms revision
Tropical storms revisionTropical storms revision
Tropical storms revisionMoses Lutta
 
Unit 2 extreme weather 1
Unit 2 extreme weather 1Unit 2 extreme weather 1
Unit 2 extreme weather 1Moses Lutta
 

More from Moses Lutta (20)

The work of rivers 2
The work of rivers 2The work of rivers 2
The work of rivers 2
 
The work of rivers
The work of riversThe work of rivers
The work of rivers
 
Meander formation in the middle course of a.ppt
Meander formation in the middle course of a.pptMeander formation in the middle course of a.ppt
Meander formation in the middle course of a.ppt
 
Estuary
EstuaryEstuary
Estuary
 
Levees
LeveesLevees
Levees
 
Gorges
GorgesGorges
Gorges
 
Levees
LeveesLevees
Levees
 
Presentation1
Presentation1Presentation1
Presentation1
 
Maureen's geo task
Maureen's geo taskMaureen's geo task
Maureen's geo task
 
Sylvias work
Sylvias workSylvias work
Sylvias work
 
Maureen
MaureenMaureen
Maureen
 
Conduct demographic research to
Conduct demographic research toConduct demographic research to
Conduct demographic research to
 
Geography
GeographyGeography
Geography
 
Government policies on incresing fertility rate.ppt
Government policies on incresing fertility rate.pptGovernment policies on incresing fertility rate.ppt
Government policies on incresing fertility rate.ppt
 
Tropicalcyclones 091124165030-phpapp02
Tropicalcyclones 091124165030-phpapp02Tropicalcyclones 091124165030-phpapp02
Tropicalcyclones 091124165030-phpapp02
 
2 introduction-to-hurricanes-1227475599659639-9
2 introduction-to-hurricanes-1227475599659639-92 introduction-to-hurricanes-1227475599659639-9
2 introduction-to-hurricanes-1227475599659639-9
 
Tropstormgapfill
TropstormgapfillTropstormgapfill
Tropstormgapfill
 
Tropical storms revision
Tropical storms revisionTropical storms revision
Tropical storms revision
 
Unit 2 extreme weather 1
Unit 2 extreme weather 1Unit 2 extreme weather 1
Unit 2 extreme weather 1
 
Tsunami
TsunamiTsunami
Tsunami
 

Recently uploaded

costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsAndrey Dotsenko
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsPrecisely
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfngoud9212
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 

Recently uploaded (20)

costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptxVulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdf
 
The transition to renewables in India.pdf
The transition to renewables in India.pdfThe transition to renewables in India.pdf
The transition to renewables in India.pdf
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 

Copy of bid rent )

  • 1. Bid Rent Within this theory, patterns of land use are determined by land values that are, in turn, related to transportation costs. We will find that each type of urban activity will have its own bid rent function and the combination of several bid rent functions will define the rent gradient. To begin, we will examine how different firms use urban land. These assumptions are not meant to reflect the reality of cities. Rather, assumptions allow us to focus attention on the most important aspects of the inquiry. As we proceed, some of these assumptions will be relaxed so we can introduce more realism into our theories and models. For the moment, let us assume the following: 1. The city is comprised of many identical producers that operate in a perfectly competitive environment. 2. All land is privately owned. 3. Since all firms are identical and sell in competitive markets, each firm generates a normal rate of profit, can sell as much as it wants, and faces the same set of production costs as all other firms. 4. The market place for goods and services is located in the center of city such that all goods and services must be sold there. Consequently, for a firm to sell its product it must be transported to the market located at the city's center. 5. Transportation costs are a linear function of distance. Therefore, total costs to the firm will be higher for firms located at greater distance from center. 6. The city's population is evenly distributed and households have uniform tastes for housing. Because transportation costs are low near the CBD and higher away from the CBD, firms locating near the CBD are willing to pay more for centrally located parcels of land in order to minimize their transportation costs. Similarly, because added transportation costs at more distant locations will reduce profits, firms will not be willing to pay as much for land at more distant locations. Because all firms are assumed to generate the same level of profit, and firms at more distant locations will incur higher transportation costs, they will only be willing to bid up to the amount at which lower land costs are exactly off-set by their higher transportation costs. Similarly, the higher value of land at the CBD reflects the capitalization of transport cost savings into the price of land. This feature of urban land use theory causes land values to decline with distance from the center city. the amount one pays for the use of land is called rent and the way in which rent changes with distance is called location rent. The users of land are conceptualized as participating in an open bidding process such that the highest bidder for a parcel of land will occupy that parcel. Because all persons involved in the bidding process have complete information about costs at alternative locations (assumption #1), and no one will bid more for land than the land is worth, the bidding process continues until bid rent exactly equals location rent. The graph that describes how rent declines with distance from the CBD is called the bid rent function and illustrates how the value of land reflects its accessibility to the CBD. The basic shape of the bid rent function is illustrated in Figure 2. 1
  • 2. Figure 2 The Bid Rent Function What happens when we allow more than one type of firm? Suppose we relax the first assumption above and instead of having one type of economic activity we now have two, say, retailing and manufacturing. Each type of activity will place a different value on accessibility. How will land be divided between these two activities? If retailers value access to consumers more than manufacturers, and the population is evenly distributed throughout the city, then retailers will want to locate in the center to maximize access to consumers For manufacturers, access to markets and labor is important, but less important than for retailers. Under this condition, the slope of the bid rent function for manufacturing will be flatter than the bid rent function for retailers as seen in Figure 3. Figure 3 Bid Rent Functions for Retail and Manufacturing In Figure 3, the intersection of the two bid rent functions (point d1) defines the point at which land use changes from retail activities to manufacturing activities. We can draw a line from the intersection of these bid rent lines down to the x-axis and mark the x-axis at d1. According to this graph, retailers would occupy land from the CBD out to the point d1. Up to this point, the retail bid rent line is above the bid rent line for manufacturing. Thus, up to the distance d1, retailers would be willing to out-bid manufactures for the use of land. Beyond d1, the bid rent line for manufacturing is above the retail bid rent line, so manufacturers would be willing to out-bid retailers for land from d1 to d2. Thus, under these conditions we would expect to find retail 2
  • 3. activities at a distance of d1 from the CBD and manufacturing activities at a distance of d1 to d2. So far, we have discussed only land uses for firms. In order to introduce the location of households, we must drop the assumption of even population distribution (assumption #6) and allow households to compete for land in the same manner as firms. It is likely that while many households will value access to the CBD to minimize on commuting costs, many households will also value open space and lower density lifestyles. If this is the case, then households will have a bid rent function for urban land that is flatter than the bid rent line for manufacturers. This is illustrated in Figure 4. Figure 4 Allocation of Land Between Three Uses In Figure 4, we have three types of users of urban land: retail, manufacturing and residential. The bid rent functions for retail and manufacturing are similar to those shown in Figure 3. Because of the flatness of the bid rent line for residential use, we would expect to find households (residential land use) at the furthest distance from the city's center. The point at which land changes from manufacturing use to residential use is marked on the x-axis at point d2. Beyond d2, households would out-bid manufacturers for land and residential land use would extend to the distance d3. Beyond d3, urban users do not value land and its value falls to the value of agricultural land. If the city is symmetrical (which is never really the case) the pattern of land use will form a set of concentric rings as show in Figure 4. 3
  • 4. The rent gradient indicates the rate at which the value of urban land declines with distance from the CBD. It is also worthy to note that because land prices increase closer to the CBD, centrally located land will be tend to be used more intensively. The intensity of urban land use is correlated with the height of buildings (generally taller buildings being located on higher valued land) which helps explain why tall buildings are found in central business districts. As one moves away from the CBD both the value of land and its intensity of use decline, as do the height of structures. The accompanying photograph of the Charlotte, North Carolina CBD provides a good illustration of this point. The tallest building in the photograph is the corporate headquarters of Nations Bank located in the heart of the CBD. Note how the height of buildings declines with distance from the Nations Bank building. Downtown Charlotte, NC. Note the steep rent gradient implied by the height of buildings. Figure 5 Generalized Urban Rent Click on the image to enlarge. Photo by David Gradient Hartgen While no city conforms exactly to the concentric ring pattern of land use, it is nevertheless a useful concept in our discussion of urban land. To this day, most major cities have a traditional core that is identifiable by its concentration of tall buildings. Although traditional core areas of cities have lost some of their functional importance, they continue to be the symbolic center of the city. In reality, most cities represent a kind of composite form of the three models of urban land use discussed earlier. The multiple nuclei model, for example, can be thought of an urban form that has several nodes, or centers of commerce with each node surrounded by a set of rings of different land uses. 4