Recomendados
Mais conteúdo relacionado
Mais procurados
Mais procurados (20)
Destaque
Semelhante a Patterns of land use in towns and cities
Semelhante a Patterns of land use in towns and cities (20)
Mais de jaganshettar
Último
Último (20)
Patterns of land use in towns and cities
- 1. Patterns of land use in towns and cities & Land values By- Jagan.shettar
- 2. Think of all the things you would find in a Town or a City. Tell as many things as you can ! Offices es Sho ori ps ct Fa ent tainm nter E Restaurants B ine us Place s Educ a es ss Hous rks Pa o f wo es rship tiona l i ns t it u t es By- Jagan.shettar
- 3. Land Use Land use is based on the functional dimension of land for different human purposes or economic activities. Typical categories for land use are dwellings, industrial use, transport, recreational use or nature protection areas. land use” means the major use to which a plot of land is being used on any specified date according to KTCP act. • land use, exploitation of land for agricultural, industrial, residential, recreational, or other purposes. • Or spatial arrangement of activities in a specified area. By- Jagan.shettar
- 4. Although all towns and cities are different, most have grown and developed in the same way. Believe it or not there is a PATTERN to it all ! By- Jagan.shettar
- 5. 1. 2. 3. 4. 5. 6. 7. 8. 9. Central Business district Wholesale & Light Manufacturing Low class Residential Medium class Residential High class Residential Heavy Manufacturing Outlying Business Residential Suburb Industrial Suburb 1. 2. 3. 4. 5. Central Business district Wholesale & Light Manufacturing Low class Residential Medium class Residential High class Residential By- Jagan.shettar
- 6. We can show this pattern by using a MODEL – a simplified picture. This is an URBAN MODEL to show the different land use within a town or city. Each different colour sector represents a different type of land use. By- Jagan.shettar
- 8. THE CBD The Central Business District •Large Shops •Offices •Restaurants •Cafes •Cinemas This is usually the original site of the settlement. It is centrally located because the rest of the settlement has grown around it. •Theatres •Museums By- Jagan.shettar
- 10. INNER CITY 19th Century Housing •Terraced houses for the factory workers. • Some now replaced by high-rise flats. •Small Corner shops Located just outside the CBD Houses built near to the factories so that the workers could get to work easily. By- Jagan.shettar
- 11. INNER AND OUTER SUBURBS By- Jagan.shettar
- 12. INNER SUBURBS Housing 1920 - 1950 •Larger houses usually with gardens •Some Parks •Some rows of shops Newer houses built for the growing population. The land is cheaper the further away from the CBD you go, so houses were built with gardens. By- Jagan.shettar
- 13. OUTER SUBURBS Modern Housing •New houses and housing estates •New shopping centres •Parks and other open areas The land around the edge of a settlement is much cheaper and there is enough space to build large housing estates. By- Jagan.shettar
- 14. New & Old Industrial Areas By- Jagan.shettar
- 15. New Industrial Area Industrial estates and business parks built since 1970, close to main roads They are located close to main roads & rail lanes so that there is easy access for goods and employees By- Jagan.shettar
- 16. Old Industrial Areas •Along a river, canal or railway •Many old factories now closed •Area may look run down They are located near to rivers, canals and railways because they needed to transport goods in and out of the city. By- Jagan.shettar
- 17. Look out for different land use as you travel around STOCKPORT or MANCHESTER. See if you can spot the pattern ! By- Jagan.shettar
- 18. Land Values The Land Value is the economic value assessed for land at given time at given place. Ratcliff (1949) Says that the land value is relative efficiency in various use and location Haig (1926) Says that the saving in transport cost is directly invoked in bidding process to determine occupancy By- Jagan.shettar
- 19. Factors affecting Proximity to Transportation According to Public Transportation, proximity to public transportation makes properties more desirable and hence increases their value. Environment Factors The healthy environment and surrounded by green areas have mare land values Distance from CBD More the distance travelled more decrease in value Surrounding land use The land use of surrounding is also one of the major factor By- Jagan.shettar
- 20. Urban Form Physical spatial characteristics of a city ♦ Size ♦ Population density ♦ Density variation in different parts A steep urban form with a central focus of intense land use and value Value A sprawled urban form with multiple focus points and more even land values. By- Jagan.shettar
- 21. The “Bid-Rent” Curve • The “bid-rent” is the maximum rent that a potential user would be willing to pay for a site or location – below we have a mono-centric city. Bid-Rent Functions of Three Land Uses With Differing Productivity & Sensitivity to Transport Cost Land Rent A B C Center Zone of Use B Distance from Center By- Jagan.shettar
- 22. Changes in Productivity Influence Value Across Space Equally By- Jagan.shettar
- 23. Changes in Transportation Costs Influence Value More as Distance Increases By- Jagan.shettar
- 24. Distortion of Land Use Patterns: Polycentric or Multiple Nuclei Cities • • Real world cities are not purely monocentric, they have other major activity areas (MACs) besides the CBD. Large cities are sprinkled with neighborhood business districts (NBDs) that serve needs of local communities Suburban retail and office cluster CBD where land value is highest Multiple clusters of economic centers NBD NBD CBD NBD By- Jagan.shettar
- 25. Land Value Variation from Center to outskirts of the city Ability to pay Retail Industrial/ Commercial Multiple family housing Single family housing Agriculture Distance from centre Superimpose of different graphs By- Jagan.shettar
- 26. 50 Distribution of land values in Topeka in 1962 Thousand of dollars Land value 25 20 15 10 5 After D. Knos,1962 4 2 0 2 4 Thousands of feet By- Jagan.shettar