Chapter 16 | The Urban Landscape

16.1 The Internal Structure of Cities

Urban Land Use

  • Social, economic, and spatial processes determine the land-use structure of cities.
  • Market forces propel dynamic changes at various scales, such as public roads or housing.
  • People want to maximize their access to jobs, homes, goods, and services.
  • The most valuable and accessible part of a city is its central business district, or CBD.
    • Recall bid-rent theory and how it can also apply to urban centers.
    • Land close to the CBD is the most expensive.
  • Competition for accessible sites near the city center is an important determinant of land-use patterns.
    • The more accessible a location, the greater the demand for it.
    • CBDs are often found in the historic hearts of cities, the original site of settlement.
  • Bidders are prepared to pay different amounts for land at various distances from the city center.
    • A business with a significant profit is more likely to be capable of buying property near the CBD.
  • One shortcoming of the bid-rent theory is the assumption that a city is on a flat plane with a single center of economic opportunities.
    • Another limitation is the suggestion of consistent city transportation.
    • It also assumes values decrease equally in all directions, which is not reflected in real-life.
  • The central business district is only one part of a city.
    • Cities include many different zones or areas such as residential and industrial ones.

Models of Urban Structure

  • Recall that all models mentioned are generalized representations of reality that help us analyze spatial features, processes, and relationships.

Burgess Concentric-Zone Model

  • Concentric-zone model: A model of urban development depicting a city growing outward from its central business district in a series of concentric rings
    • Ernest Burgess devised the concentric-zone model by studying Chicago in the 1920s.
  • This model shows a city growing outward from its CBD in a series of rings.
  • Most economic activity occurs in the center/CBD.
    • Here, there will likely be a major transportation hub, main offices of businesses, and headquarters.
  • The ring just outside of the CBD is in transition and has mixed-land use.
    • There may be industry, factory production, light manufacturing, alongside old and dense neighborhoods.
    • This area also generally includes urban populations earning the lowest incomes, with many people in poor conditions.
    • Residents in the transition zone are often first-generation immigrants or the elderly.
  • The third zone is home to the working class and is beneficially near the factory jobs in the CBD and transition zone.
    • Population density is lesser here, with people living in close, single-family dwellings.
  • The next ring includes higher-value residences, largely for the middle class.
    • Its overall population density is lower than the third zone.
  • The zone furthest is from the CBD is the commuter zone.
    • This ring contains expensive, single-family homes in more spacious suburban settings.
    • This zone has the lowest population density.

Hoyt Sector Model

  • In 1939, Homer Hoyt sought to improve the limitations of Burgess’s concentric-zone model.
    • He added the concept of direction.
  • He concluded that the general spatial arrangement was characterized better by sectors than concentric zones.
  • Sector model: A model of urban development depicting a city with wedge-shaped sectors and divisions emanating from the central business district, generally along transit routes
  • The city center remains the location of many commercial functions, but as the city expands, each division will extend outward in a sector.
  • This assumes that working-class residential areas develop alongside light manufacturing around the CBD.
  • High-class neighborhoods follow a path along transportation routes, on high ground with more space or in scenic areas.
  • New middle-class housing built on the city periphery attracts people who want to move away from the city center.
    • Subsequently, lower-income groups move into the vacated urban residences.

Harris and Ullman Multiple-Nuclei Model

  • Multiple-nuclei model: A model of urban development depicting a city where growth occurs around the progressive integration of multiple nodes, not around one central business district
    • Proposed in 1945, Chauncey Harris and Edward Ullman observed that most large U.S. cities don’t grow in the previously proposed ways.
  • They, rather, are formed by the progressive integration of multiple focal points of a functional region, or nodes.
    • Node: The focal point of a functional region
  • Harris and Ullman claimed that land use varies depending on local context.
  • The location and growth of the nodes rely on four factors.
  • First, highly specialized activities involve specific sites.
    • Certain activities require facilities or infrastructure and will, therefore, be located near those features.
  • Second, in certain areas, related companies arrange themselves together, leading to specialized areas.
    • By clustering together, these concentrations of economic activities all have access to the same pool of resources.
    • These resources can be workers, suppliers, or information channels.
  • Third, the negative consequences of commerce and industry can contribute to the formation of nodes.
    • Some activities don’t coexist well together and repel one another.
  • Fourth, economic considerations influence the formation of other kinds of nodes.
    • Land close to CBDs tends to be expensive, so activities that require a significant amount of land are typically located farther from city centers.

Galactic City Model

  • Galactic city model: A model of urban development depicting a city where economic activity has moved from the central business district toward loose coalitions of other urban areas and suburbs; also known as the peripheral model
    • Proposed by Pierce Lewis in the early 1980s.
  • This model explains what occurred in areas that became decentralized and formed suburbs after automobile use became widespread.
  • This model includes:
    • Newer business centers,
    • Internal and external edge cities located along transportation routes,
    • Edge city complexes for back offices for research and development (R&D),
    • Specialized centers for education, entertainment, sports, and convention.
  • Airports are always outside of the city but well connected by radial or peripheral highways.

Assumptions and Limitations of Geographic Models

  • It should be noted that many cities have aspects of more than one of these models.
  • Models are, again, generalizations and therefore cannot be perfectly applied to any real city.
  • Models can also be outdated, as their creators could not foresee modern innovations.

Latin American City Model

  • Geographers Ernest Griffin and Larry Ford developed the Latin American city model in 1980.
  • Latin American city model: A model of urban development depicting a city with with a central business district, concentric rings, a high-end commercial sector, and sections stricken by poverty; also known as the Griffin-Ford model
  • It shares some similarities with the concentric-zone model and sector model.
  • The traditional central market shares the CBD with a modern business center plus important religious and governmental buildings.
  • A high-end commercial sector extends outward from the CBD.
    • Wealthy residents live in the blocks adjoining both sides of this “spine.”
    • The spine typically ends with what can be considered an edge city.
  • A radial road—or a periferico—likely circles the city, connecting the mall with an industrial park(s).
  • Outside of the elite residential sector, further from the CBD, there are residential areas of decreasing wealth.
  • Other areas of mixed-quality housing in the Latin American city model are called disamenity zones.
    • Disamenity zone: A high-poverty urban area in a disadvantaged location containing steep slopes, flood-prone ground, rail lines, landfills, or industry
  • Squatter settlement: An informal housing area beset with overcrowding and poverty that features temporary homes often made of wood scraps or metal sheeting
    • Squatter settlements feature temporary homes often made of wood scraps or metal sheeting.
    • Squatter settlements lack basic infrastructure and services.
    • The people who live in these settlements aren’t legally permitted to be there.

African City Model

  • Many African cities have three CBDs.
    • In 1962 geographer Harm de Blij proposed the African city model.
  • African city model: A model of urban development depicting a city with three central business districts, growing outward in a series of concentric rings
  • The first CBD was created by colonial powers and often has a grid pattern for order and control.
  • The second, more traditional CBD has curbside commerce and more simple infrastructure.
  • The third is a zone for open-air markets.
  • Higher-income neighborhoods are located in the CBDs, and wealth and services decrease in the outer rings.
  • Squatter settlements called informal satellite townships are found along the outside of the African city model.
    • Just inside the ring where squatters live is the mining and manufacturing zone.

Southeast Asian City Model

  • Southeast Asian city model: A model of urban development depicting a city oriented around a port and lacking a formal central business district, growing outward in concentric rings and along multiple nodes
    • Created by geographer T.G. McGee in 1967.
  • This model states that there are two formal zones that remain constant: The port zone and a zone of intensive market gardening on the periphery.
  • The remainder of a Southeast Asian city includes a variety of uses:
    • A Western commercial zone
    • Non-indigenous Asian commercial zone,
    • Mixed-land use,
    • Suburban housing,
    • Squatter settlement zones,
    • Middle density housing,
    • Wealthy residential area.
  • Southeast Asian cities generally have a larger middle class than African or Latin American cities, so they have sizable suburban areas.

16.2 Urban Housing

Residential Land Use

  • Residential land use varies across urban landscapes, as does the density of the population, which generally declines from the center.
  • People in different economic brackets tend to live in different densities in an urban area.
    • Wealthy people tend to live in low-density places far from the CBD.
    • Historically marginalized classes are often clustered with greater density.
  • Wealthier people often trade a longer commute to the CBD in preference for more living space.
  • Lower-income families often cannot afford the cost of transportation, and wind up living in dense residential areas close to the city center.
    • This can create strain due to the bid-rent theory: land closer to the city center is more valuable, which is reflected by the cost of housing.
  • Another way of studying urban population densities is to consider the amount of living space per person in different countries.
  • A 2015 analysis of recently built homes found the following:
    • The average new home in Australia was 2,303 square feet
    • In the United States, it was 2,164 square feet,
    • In Japan it was 1,023 square feet,
    • And in urban areas of China, just 646 square feet.
  • The difference in urban population density is explained by the differences in housing types.
    • For example, New York City’s boroughs are mainly comprised of single-family homes and duplexes.
    • Paris, contrastingly, is almost entirely apartment buildings.
  • The lower population density in the United States reflects its history and culture.
    • Many international cities are significantly older than the United State’s cities, reflected in their land-use.
    • The older cities developed before advances in transportation, meaning all amenities needed to be within walking distance to one another.
  • New homes were built around U.S. cities to accommodate people wishing to move away from the city center.
    • They left behind older homes in the city, which were filled by people with lesser means; usually a racial minority.
    • The worst housing was abandoned, leading to urban blight.
  • In the 21st century, however, the desire to live and work in cities has increased.
    • In some cities these formerly abandoned urban spaces have been redeveloped.
    • These changes may represent a partial reversal of the pattern of wealthier households residing in areas of lesser density.
  • Cultural values influence how densely cities develop.
    • In the U.S., people value their space and therefore like detached homes with a yard.
    • In Europe, however, attitudes differ and families are more comfortable living in close proximity to others.
  • Physical geography, too, plays a role in urban density.
    • Some landscapes are simply not conducive to close housing, and therefore density is low not through choice but because of necessity.
    • The opposite is true as well; some cities are confined by natural features and therefore must live densely to contain the population.

Housing Density and Development

  • Density of housing is usually described as high, medium, or low.
    • These descriptions are relative and have different meanings depending on the place.
  • Broadly speaking, in high-density areas, a large number of people live on a small amount of land.
    • Recall that the bid-rent theory shows how housing density is influenced by land values: Higher-value land tends to cause higher density housing.
  • Low-density housing is common in many suburban areas, which include mostly detached single-family homes.
    • Sections of a city can seem high density because other sections are low density. Remember relativity.
  • Governments use various legislative tools to allow or prohibit certain land uses as well as to limit density and guide growth.
  • Zoning: The process of dividing a city or urban area into zones within which only certain land uses are permitted
  • Cities set their zoning according to their present and perceived future needs.
    • This may or may not create zones that reflect patterns like those in the various city models.
  • Through changes in land-use planning and zoning laws, housing density can change.
  • Some urban areas have embraced development, infilling, and land use changes more than others.
  • Increased density offers benefits such as governments being more capable of providing high-quality services.
    • Effective public transport relies on density as people will not use the system if they have to walk far to get to a stop or station.
    • A mass-transit system also needs enough riders to sustain it financially.
    • Similarly, businesses need enough customers to provide strong services.

16.3 Urban Infrastructure

Why is Infrastructure Important?

  • A well-functioning society relies on strong infrastructure, a framework that ensures high quality of life and helps people move from place to place.
    • Some experts consider infrastructure to include all services and institutions that help maintain the health, safety, economic, and social aspects of a country.
  • Infrastructure includes:
    • Mass-transit systems such as subways, buses, and light rail;
    • Energy-generating facilities such as power stations, wind farms, and hydroelectric plants;
    • Power lines, Telephone cables;
    • Ports, airports, waterways, and canals;
    • Roads;
    • Water supply systems, sewage systems, and wastewater treatment facilities.
  • Without operational infrastructure, disease is likely to spread and basic tasks would become difficult or impossible.

Infrastructure and Development

  • Core countries with powerful economies have the best infrastructure.
    • Their wealth and expertise make it possible to invest in and build effective frameworks.
  • Semi-/Peripheral countries don’t have the money for this development and as a result, many residents are unable to improve their living standards.
    • To some extent, this also exists within core and peripheral areas in one country.
  • Places with the strongest infrastructure experience the most economic and social development.
    • Infrastructure helps businesses succeed because it allows them to effectively transport goods, share information, and hire from a capable labor pool.
  • Infrastructure is one reason businesses and workers may relocate from one place to another.
  • Solid infrastructure, because it bolsters individual businesses, is especially important to the economic vitality of a city as a whole.
  • Infrastructure can be used not only to improve the economy, however, but also to make lives better and create equality.

The Political Organization of Cities

  • Like countries, states, or provinces, cities are political entities with governments whose job is to meet the needs of its residents.
  • Municipal—or city—governments are responsible for performing a variety of services.
    • They are expected to maintain infrastructure such as roads, sidewalks, sewer lines, and water mains.
    • Cities often also deliver services, most significantly schools.
    • They work to ensure public safety by providing police departments, fire departments, and emergency medical service (EMS) professionals.
  • Issues arise when an urban area consists of many different local governments that cannot collaborate due to lack of integration.
  • A lack of collaboration can arise at the regional level as well.
    • Many separate municipalities may not agree on how to solve region-wide problems.
  • Fragmented governments can face difficulty when the interests of municipalities collide with the interests of the region at large.
    • This is evident in areas with a housing shortage.
    • Local governments often aim to limit growth so their infrastructure isn’t overwhelmed.
  • Issues can also arise when the chain of command is interrupted by many different entities.
    • This leads to slow reaction times and accountability becoming unclear.

Qualitative Urban Data

  • Cities are dynamic, and responsible governments analyze these changes and prepare for their impacts.
  • Collecting data in multiple ways is one way for governments to build an understanding of how their cities are changing and how to plan.
  • Qualitative research is based on descriptions and rich narratives; quantitative research is based on collecting raw, observable data.
  • Qualitative research about cities generally involve questions about what people think the city is doing well, poorly, and what the city should be providing.
  • Qualitative researchers document their own observations as well.
    • They may see interactions or features in the city that could be improved, or ones that are well enjoyed by the population.
  • Qualitative and quantitative techniques provide a trade-off between breadth and depth.
  • Many people recommend using both or a mixed-method approach.

Quantitative Urban Data

  • Where qualitative research collects data on perceptions, quantitative research collects measurable and numerical data.
    • Quantitative techniques include taking measurements, examining test results, conducting questionnaires, and using data from other databases.
  • Quantitative researchers begin with a question that drives a data-collection process, which can be done with primary or secondary methods.
    • Primary data is information collected directly from a source.
    • Secondary data comes from outside sources.
  • Data is characteristics or information collected through observation and can be of four types:
    • Nominal data is named, labeled, or categorized data, such as type of housing: single-family detached or apartment.
    • Ordinal data has an order or rank, such as low, medium, or high income.
    • Interval data has an order and the difference between two numbers has meaning, such as temperature and year.
    • Ratio data contains all aspects of interval data but also has a true zero value, such as distance or area.
  • Nominal and ordinal data is qualitative and interval and ratio data are quantitative.
  • Local governments work with land-use data to understand changes in their communities and regions.
  • The best way for researchers to understand communities is to combine the data types, which gives them a full picture.

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