Variability and Similarity: Cities differ globally due to geographic and resource factors yet share common land-use patterns.
Urban Land Use:
Determined by social, economic, and spatial processes.
Market dynamics lead to changes impacting individual choices and large projects.
People aim to maximize access to jobs, homes, and services.
Central Business District (CBD):
The most accessible city area is the CBD, discussed via bid-rent theory (Unit 5).
Land value highest near CBD due to demand, decreasing with distance—illustrated by the bid-rent gradient.
CBD typically houses offices and public services (libraries, government offices) and consumer services (restaurants, theaters).
Historical city centers often locate CBDs.
Bid-Rent Theory:
Businesses vary in willingness to pay for land based on proximity to CBD.
E.g., profitable businesses (e.g., investment firms) can afford higher costs near the CBD.
Limitations of Bid-Rent Theory:
Assumes a flat urban plane with a singular CBD and consistent transportation.
Does not accurately reflect real-life variations in city layouts.
Land-Use Zones:
Cities comprised of various zones (residential, industrial).
Illustration:
Land cost decreases with distance from CBD.
Commercial enterprises cluster near CBD, while manufacturing, warehousing, and residential areas spread outward.
Purpose of Models:
Models like concentric-zone, sector, and multiple-nuclei help clarify city structures.
Burgess Concentric-Zone Model:
Developed by Ernest Burgess in 1920s Chicago.
Describes city growth in concentric rings around the CBD.
Zones include:
Zone 1 (CBD): Major economic, commercial activities.
Zone 2 (Zone in Transition): Mixed-use of industry and declining neighborhoods.
Zone 3 (Working-Class Residential): Densely populated with single-family homes and apartments.
Zone 4 (Middle-Class Residential): Lower density with private homes.
Zone 5 (Commuter Zone): Detached families in suburban settings.
Hoyt Sector Model:
Proposed by Homer Hoyt in 1939, adds directionality to city development.
Growth occurs in wedge-shaped sectors along transportation routes.
Multiple-Nuclei Model:
Proposed by Harris and Ullman (1945)—cities grow around multiple nodes not just the CBD.
Economic activities cluster in nodes based on transportation and economic needs.
Galactic City Model:
An evolution of multiple-nuclei model explaining decentralized cities with connections to suburban centers.
Cultural Reflections on Land Use:
Housing patterns reflect cultural values and balance of power.
Residential Land Use:
Patterns differ across densities: high density near CBD, lower density further out.
Wealth affects living proximity to city centers; affluent families often trade space for commute.
Example Cities:
New York City: Densely populated with skyscrapers.
Paris: High density due to apartment-centric living.
Factors Influencing Urban Density:
History, geography, cultural preferences, housing types.
Zoning: Regulates land use, influencing housing density and expansion.
Importance of Infrastructure:
Infrastructure supports quality of life and economic functions.
Critical structures include transit systems, utilities, and roads.
Strong infrastructure correlates with economic growth, improved living standards.
Municipal Governance:
Responsibilities include infrastructure maintenance, public safety, services.
Fragmented governments can hinder regional collaboration on urban planning.
Qualitative and Quantitative Data:
Cities utilize both types of data for urban planning and response strategies.
Qualitative: Interviews, narratives. Quantitative: Census data, numerical analysis.
Urban land-use patterns are shaped by economic, social, and historical influences.
Models help understand city structures, including varying densities and governance challenges.
Strong infrastructure and effective governance are key for urban development and quality of life.