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AP® Human Geography models and theories

AP Human Geography (AP HuG) leans on a set of models and theories, from the demographic transition model to the urban models. Here are all 25, in course order, in plain words.

Models simplify the real world, so questions often ask where a model fits a place and where it falls short. That's why every model here comes with its strengths and its limits.

Unit 1: Thinking Geographically

Environmental determinism and possibilism

Determinism: Ellen Churchill Semple and Ellsworth Huntington, early 1900s. Possibilism: Paul Vidal de la Blache and his followers

Two ideas about how nature and people shape each other. Environmental determinism says climate and landforms decide how a society turns out. Possibilism says the environment sets limits and offers choices, but people decide what to do with them. Geographers dropped determinism and moved to possibilism.

Environmental determinism
The physical environment controls human behavior and how developed a society becomes. It was used to claim that people in some climates were superior, which helped justify colonialism and racism.
Possibilism
Nature matters, but people adapt it and work around it with technology, trade and culture. The same environment can support very different ways of life.

Example: The Netherlands is a classic case for possibilism: much of the country sits below sea level, yet the Dutch built dikes, pumps and polders and turned it into rich farmland.

Strengths

  • Possibilism explains why places with similar climates can develop very differently.
  • Both remind you that physical geography still matters: deserts, mountains and coasts do shape where people live.

Limits

  • Determinism ignores human choice, technology and history, and it was used to back racist claims.
  • Possibilism can understate real environmental limits, such as drought or sea-level rise, that no amount of choice fully overcomes.

On the exam: Multiple-choice questions ask you to tell the two apart from a quote or scenario. On free-response, explain how people modified or adapted to an environment, which is possibilism in action.

Learn it:Topic 1.5 Human–Environmental Interaction

Unit 2: Population and Migration Patterns and Processes

Population pyramids

A population pyramid is a pair of bar graphs back to back: males on the left, females on the right, with the youngest age group at the bottom. Its shape tells you how fast a place is growing, how old its people are and what it will need next, from schools to nursing homes.

Expansive
A wide base that narrows quickly. Lots of births, a young population and fast growth, typical of DTM stage 2 or early stage 3.
Stationary
Bars of similar width up into old age. Low birth and death rates and slow growth, typical of DTM stage 4.
Constrictive
A base narrower than the middle. Births have fallen, the population is aging and may shrink, typical of late stage 4 or stage 5.
Bulges and notches
A bulge is a baby boom moving up the pyramid over time. A notch is a gap from war, famine or a policy like China's one-child policy. Extra working-age men often mean male migrant workers.

Example: Niger's pyramid is strongly expansive, the United States' is close to stationary, and Japan's is constrictive.

Three population pyramid shapesThree population pyramids side by side, each with males on the left in blue, females on the right in pink, and age groups from 0–9 at the bottom to 80 and over at the top. The expansive pyramid has a very wide base that narrows quickly toward the top, showing many children and fast growth. The stationary pyramid has bars of nearly the same width until the oldest ages, showing slow growth. The constrictive pyramid has a base narrower than its middle, showing fewer children and an aging population that may shrink.0–940–4980+ExpansiveMaleFemaleMany children,fast growthStationaryMaleFemaleSimilar sizes,slow growthConstrictiveMaleFemaleFewer children,aging, may shrink
Three population pyramid shapes

Strengths

  • Shows a whole country's past births and deaths in one picture.
  • Helps governments and businesses plan for future needs, like jobs, schools, housing and pensions.

Limits

  • It's a snapshot of one moment, so you have to infer the trend.
  • A national pyramid hides differences inside the country, such as young cities and aging rural areas.
  • Migration can change the shape quickly, and the pyramid doesn't say why a bar is big or small.

On the exam: Expect a pyramid as a stimulus: identify its shape or DTM stage, explain a bulge or notch, or predict a consequence such as a high dependency ratio or a labor shortage.

Learn it:Topic 2.3 Population CompositionTopic 2.4 Population DynamicsTopic 2.9 Aging Populations

Demographic transition model (DTM)

Warren Thompson, 1929; developed by Frank Notestein, 1945

The DTM shows how birth and death rates change as a country develops. Death rates fall first, so the population booms. Then birth rates fall too, and growth slows to near zero. The gap between the two lines is natural increase.

Stage 1: high and stable
High birth and death rates, so very slow growth. No country is in stage 1 today.
Stage 2: death rates fall
Better food, clean water, sanitation and medicine cut death rates, while birth rates stay high. Growth is fastest here.
Stage 3: birth rates fall
People move to cities, children cost more to raise, women get more education and jobs, and contraception spreads. Growth slows.
Stage 4: low and stable
Low birth and death rates, so growth is close to zero.
Stage 5 (added later): decline
Not in the original model. Birth rates drop below death rates, so the population ages and shrinks.

Example: England and other Western European countries moved through stages 1 to 4 between the 1700s and the late 1900s. Japan and Italy, with more deaths than births each year, are the usual examples of a possible stage 5.

The demographic transition modelBirth and death rates per 1,000 people are on the vertical axis and time on the horizontal axis, divided into stages 1 to 5. The birth rate, a solid line, stays high through stages 1 and 2, falls steeply in stage 3, stays low in stage 4 and dips a little lower in stage 5. The death rate, a dashed line, is high and swings up and down in stage 1, falls sharply in stage 2, keeps falling more slowly in stage 3, stays low in stage 4 and rises slightly in stage 5, ending above the birth rate. The shaded gap between the two lines in stages 2 and 3 is natural increase, labelled growth. Total population, a green line with no scale of its own, stays low in stage 1, climbs steeply through stages 2 and 3, levels off in stage 4 and starts to fall in stage 5.GrowthTimeRate per 1,000 peoplePopulationBirthsDeathsStage 1Stage 2Stage 3Stage 4Stage 5
The demographic transition model

Strengths

  • Explains why death rates usually fall before birth rates, which matches the history of Europe and many other countries.
  • Gives you a quick way to compare countries and predict their growth.

Limits

  • It's based on Europe's past and assumes every country will follow the same path.
  • It doesn't say how long a stage lasts or what moves a country to the next one, and many countries' death rates fell far faster than Europe's because medicine was imported.
  • It leaves out migration, along with government policy, religion and culture, which can hold birth rates up or push them down.

On the exam: Free-response questions often ask you to place a country in a stage from data or a pyramid and explain why its birth or death rate changed. Be ready to name a limitation, such as ignoring migration.

Learn it:Topic 2.5 The Demographic Transition ModelTopic 2.4 Population Dynamics

Epidemiological transition model

Abdel Omran, 1971

This model explains why death rates change as a country develops: the main causes of death shift from infectious diseases to chronic (degenerative) diseases. It pairs with the DTM. The big drop in deaths in DTM stage 2 comes from beating infectious disease.

Stage 1: pestilence and famine
Infectious disease and hunger keep death rates high and life expectancy short. The Black Death is the classic example.
Stage 2: receding pandemics
Clean water, sanitation, vaccines and better food make epidemics rarer, so death rates fall fast.
Stage 3: degenerative diseases
People live longer, so heart disease, cancer and stroke become the leading causes of death.
Stage 4 (added later): delayed degenerative diseases
Medicine helps people live longer with chronic diseases, pushing life expectancy higher.
Stage 5 (proposed): reemerging infectious diseases
Old and new infections spread again, through antibiotic resistance, global travel and new viruses like COVID-19.

Example: In the United States around 1900, pneumonia, tuberculosis and diarrheal diseases were the leading killers. Today heart disease and cancer are.

Strengths

  • Explains the cause behind the DTM's falling death rate.
  • Helps you predict which health problems a country will face as it develops and ages.

Limits

  • Like the DTM, it's based mostly on the history of wealthy countries.
  • Many lower-income countries now face a double burden: infectious and chronic diseases at the same time.
  • Its stages don't predict new outbreaks; the fifth stage was added after the fact.

On the exam: Usually paired with the DTM: explain why death rates fell in stage 2 or how causes of death differ between a stage 2 and a stage 4 country.

Learn it:Topic 2.5 The Demographic Transition Model

Malthusian theory and neo-Malthusians

Thomas Malthus, 1798

Malthus argued that population grows geometrically (1, 2, 4, 8) while food supply grows only arithmetically (1, 2, 3, 4). Sooner or later people outrun their food. He expected famine, disease and war to check growth unless people chose to have fewer children.

Positive checks
Things that raise the death rate: famine, disease and war.
Preventive checks
Things that lower the birth rate. The kind Malthus favored, which he called moral restraint in a later edition (1803), was marrying later and having fewer children.
Neo-Malthusians
Modern thinkers who say the warning still matters, but widen it from food to water, energy, pollution and climate. Paul Ehrlich's The Population Bomb (1968) is the best-known example.

Example: Since 1798 the world has grown from about 1 billion people to more than 8 billion, yet food production grew even faster, thanks to the Second Agricultural Revolution and the Green Revolution.

Malthus: population against food supplyAmount is on the vertical axis and time on the horizontal axis. Food supply is a straight line rising at a steady rate, which is arithmetic growth. Population starts below food supply but curves upward faster and faster, which is geometric growth. The two lines cross at a crisis point. After it, population is above food supply, and the shaded gap between them is the shortage Malthus predicted.TimeAmountFood supplyPopulationCrisis pointShortage
Malthus: population against food supply

Strengths

  • Points to a real limit: resources and carrying capacity can't stretch forever.
  • Neo-Malthusian ideas help explain worries about water shortages, climate change and resource depletion.

Limits

  • Malthus didn't foresee huge jumps in farm output from new technology.
  • He didn't predict that birth rates would fall on their own as countries developed.
  • Most hunger today comes from poverty, conflict and unequal distribution, not a global shortage of food.

On the exam: You may be asked to explain the theory, give a critique (technology, falling fertility) or explain why neo-Malthusians still worry, often alongside the Green Revolution or carrying capacity.

Learn it:Topic 2.6 Malthusian TheoryTopic 2.2 Consequences of Population Distribution

Ravenstein's laws of migration

Ernst Georg Ravenstein, 1885 and 1889

Ravenstein studied British census data and found patterns in who moves, how far and why. His laws are generalizations, not rules every migrant follows. The exam ties them to how changing roles for women have changed migration.

Most moves are short
Most migrants travel a short distance. Migration falls off with distance, an early example of distance decay.
Long moves go to big cities
People who move far usually head for major centers of trade and industry.
Step migration
Many people move in stages, such as from a village to a town and then to a big city.
Flow and counterflow
Every migration stream produces a smaller stream going the other way.
Rural people move more
People from rural areas are more likely to migrate than people from cities.
Gender and age
Women were more likely to move within their own country and men more likely to move abroad. Most migrants were young adults.
Money matters most
Economic reasons are the main cause of migration.

Example: Ravenstein's gender pattern has changed: today women make up close to half of all international migrants, many moving on their own for jobs in care work, health care and factories.

Strengths

  • Many of his patterns, such as distance decay and step migration, still show up in data today.
  • Gives you a ready checklist for explaining a migration flow.

Limits

  • Based on 1800s Britain, before cheap flights, phones and the internet made long-distance moves easier.
  • Treats migrants as free to choose, so it fits forced migration such as refugees poorly.
  • Its gender laws reflect women's roles in the 1800s, which have changed a lot.

On the exam: Questions often give you a migration pattern and ask which law it shows, or ask how changing roles for women affect migration today compared with Ravenstein's time.

Learn it:Topic 2.8 Women and Demographic ChangeTopic 2.10 Causes of Migration

Push–pull factors and intervening obstacles

Everett Lee, 1966 (push, pull and intervening obstacles); the idea of intervening opportunities comes from Samuel Stouffer, 1940

People migrate because of push factors that drive them away from home and pull factors that draw them to a new place. Between the two sit intervening obstacles, like cost or borders, and sometimes intervening opportunities, which can stop a move partway. Each person weighs these differently.

Push factors
Bad conditions at home: war, persecution, poverty, few jobs, drought or natural disasters.
Pull factors
Attractions at the destination: jobs, higher wages, safety, freedom, family already there or a better climate.
Intervening obstacles
Things that block or slow a move: distance, cost, mountains or seas, border controls and immigration laws.
Intervening opportunities
A chance along the way, such as a job in a closer city, that ends the journey before the planned destination.
Five kinds of factors
Push and pull factors can be cultural, demographic, economic, environmental or political.

Example: Since 2011, millions of Syrians were pushed out by civil war. Many were pulled toward Germany, which accepted large numbers of asylum seekers in 2015, while sea crossings and closed borders were intervening obstacles.

Strengths

  • Simple and flexible: it fits almost any voluntary move.
  • Sorting factors into the five types helps you build a full explanation.

Limits

  • It describes reasons but doesn't predict who will actually move.
  • It fits forced migration poorly, where people have little or no choice.
  • It can miss how networks, like chain migration through family, shape where people go.

On the exam: Very common on free-response: identify a push or pull factor in a scenario, classify it (economic, political and so on) or explain an intervening obstacle.

Learn it:Topic 2.10 Causes of MigrationTopic 2.11 Forced and Voluntary Migration

Unit 5: Agriculture and Rural Land-Use Patterns and Processes

Bid-rent theory (farmland and cities)

William Alonso, 1964, for cities, building on von Thünen's 1826 work on farmland

Land closest to a market or the center of a city is the easiest to reach, so it costs the most. Only uses that earn a lot from each acre can afford it. Each use is willing to pay less the farther out it goes, and whichever use bids the most for a spot gets it.

In cities
Shops and offices outbid everyone for the central business district (CBD), which is why it has the tallest buildings. Industry and then housing take land farther out.
On farmland
Intensive farming that earns a lot per acre, like vegetables and dairy, sits near cities. Extensive farming, like grazing, sits where land is cheap and far away. Von Thünen's rings are a bid-rent pattern.

Example: In Midtown Manhattan, land is so expensive that only offices and stores in tall towers can pay for it, while warehouses, houses and eventually farms spread out where land is cheaper.

Bid-rent curvesRent, the price of land, is on the vertical axis and distance from the CBD on the horizontal axis. Four straight lines slope down from left to right. Retail and offices have the steepest line and pay the most at the center, so they win the land nearest the CBD. Industry's line is less steep and wins the next band. Housing's line is flatter still and wins the band after that. Farming's line is the flattest and lowest, so it wins the land farthest out. The retail, industry and housing bands are shaded under the line of the use that pays the most there; the farming band, farthest out, is left unshaded.Distance from the CBDRent (price of land)Retail and officesIndustryHousingFarmingCBD
Bid-rent curves

Strengths

  • Explains why density and building height drop as you move away from a city's center.
  • Links city land use and farm land use with one idea: access costs money.

Limits

  • Assumes one center. Suburban business centers, edge cities and highways create several peaks of land value.
  • Zoning, government policy and amenities like parks or views also set land prices.
  • In many cities outside the U.S. the wealthy live near the center, which the simple model doesn't predict.

On the exam: Used to explain why the CBD is dense and tall, why farmland near cities is used intensively, or why people trade a long commute for a bigger, cheaper home.

Learn it:Topic 5.6 Agricultural Production RegionsTopic 6.5 The Internal Structure of Cities

Von Thünen model

Johann Heinrich von Thünen, 1826

Von Thünen asked why farmers grow different things at different distances from a market town. His answer was transportation cost. Goods that are perishable or heavy to haul are produced close to the market, and goods that are cheap to move or need lots of land are produced farther out. The result is a set of rings.

Market town
The one city where all farm goods are sold.
Ring 1: market gardening and dairy
Vegetables, fruit and milk spoil fast, so they're grown closest, on the most expensive land.
Ring 2: forest
Wood was heavy and needed for fuel and building, so it had to be close to town.
Ring 3: grain and field crops
Grain keeps well and is lighter to ship for its value, so it can be grown farther out.
Ring 4: ranching
Animals can walk themselves to market and need lots of cheap land, so they're farthest out. Beyond is wilderness.
Assumptions
One isolated market town, flat land with the same soil and climate everywhere, no roads or rivers, and farmers who choose the most profitable crop.

Example: The pattern still shows up loosely: market gardens and dairy farms cluster around big cities, while ranching uses cheap land far away. But Kenya flies fresh-cut flowers to Europe overnight, which the model can't explain.

Von Thünen's rings of land useA market town sits at the center of four rings. Around it, ring 1 is market gardening and dairy, ring 2 is forest for wood, ring 3 is grain and field crops, and ring 4, the outermost, is ranching. Beyond the last ring is wilderness. A key on the right names the town and each numbered ring.1234Market town1Market gardeningand dairy2Forest (wood forfuel and building)3Grain andfield crops4Ranching(livestock)Beyond ring 4:wilderness
Von Thünen's rings of land use

Strengths

  • Shows clearly how transportation cost and land rent shape farming patterns.
  • Still fits loosely at the global scale, with intensive farming near big markets and extensive farming far away.

Limits

  • Refrigeration, trucks and planes let perishable food travel very far.
  • Real land has roads, rivers, hills and different soils and climates that bend the rings.
  • Wood is no longer the main fuel, and global markets, subsidies and specialty regions, like wine country, break the pattern.

On the exam: You may be asked to explain why a crop is grown at a certain distance, apply the model to a map, or explain a limitation, often about modern transportation.

Learn it:Topic 5.8 Von Thünen ModelTopic 5.6 Agricultural Production Regions

Unit 6: Cities and Urban Land-Use Patterns and Processes

Rank-size rule

George Zipf, 1949

The rank-size rule says the nth-largest city in a country has about 1/n the population of the largest. So the second city is half the size of the first, the third is a third, and so on. Countries that fit it have a smooth ladder of big and mid-sized cities.

The formula
Population of the nth city = population of the largest city ÷ n. If the largest has 12 million, the second has about 6 million, the third 4 million and the fourth 3 million.

Example: The United States fits loosely: it has many large and mid-sized metro areas, and no single city dwarfs the rest.

Strengths

  • Gives a quick test of how evenly a country's population and economy are spread among its cities.
  • Usually fits large, developed countries with long-connected urban systems.

Limits

  • Many countries don't fit, especially those with a primate city.
  • It describes a pattern but doesn't explain why it happens.
  • City sizes depend on where you draw a city's boundary, so rankings can change with the definition.

On the exam: Usually contrasted with the primate city: compare the two, or explain what a country's city sizes say about its development or history.

Learn it:Topic 6.4 The Size and Distribution of Cities

Primate city

Mark Jefferson, 1939

A primate city is a country's largest city when it's more than twice as large as the next-largest city. It dominates the country's economy, politics and culture. Its existence breaks the rank-size rule.

Example: Bangkok is many times larger than any other Thai city. Paris in France and Lima in Peru are other common examples.

Strengths

  • Highlights how power, money and people can concentrate in one place.
  • Helps explain uneven development between a capital region and the rest of a country.

Limits

  • Being primate doesn't tell you whether a country is rich or poor: France and Peru both have primate cities.
  • It depends on how city boundaries are drawn.

On the exam: Expect to identify a primate city from data, explain why it formed (colonial history, centralized government) or explain its effects, such as rural-to-urban migration and overcrowding.

Learn it:Topic 6.4 The Size and Distribution of Cities

Gravity model

Borrowed from physics, the gravity model predicts that two places interact more, through trade, travel, migration or phone calls, when they're bigger and closer together. Doubling one population doubles the predicted interaction. Doubling the distance cuts it to a quarter.

The formula
Interaction ≈ (population 1 × population 2) ÷ distance². Some versions divide by distance instead of distance squared.

Example: Far more people travel between New York and Philadelphia, two big cities close together, than between New York and a small town the same distance away.

Strengths

  • Helps businesses and planners predict traffic, shopping trips and where to put a store or road.
  • Ties into distance decay: interaction drops as distance grows.

Limits

  • It ignores borders, language, culture and income.
  • It doesn't account for how good transportation links are, such as a fast rail line or a missing bridge.
  • Online shopping and cheap communication weaken the pull of distance.

On the exam: Usually asks which of two pairs of places will interact more and why, or what factor (a border, a mountain range) makes real interaction differ from the prediction.

Learn it:Topic 6.4 The Size and Distribution of CitiesTopic 1.4 Spatial Concepts

Central place theory

Walter Christaller, 1933

Central place theory explains the size and spacing of towns that sell goods and services to the area around them. Many small places sell everyday goods, and fewer, bigger places sell specialized ones. Each place's market area is drawn as a hexagon so the areas cover the land without gaps or overlaps.

Range
The farthest people will travel to buy a good or service.
Threshold
The smallest number of customers needed to keep a business open.
Low-order goods
Things people buy often and won't travel far for, like groceries and gas. Small places can support them.
High-order goods
Things people buy rarely and will travel far for, like a specialist doctor or a stadium. Only big places have a big enough threshold.

Example: Christaller based his theory on southern Germany. Farm towns across the U.S. Midwest are spaced fairly evenly, with bigger regional cities serving many small towns.

Central place theory's nested hexagonsA large city sits at the center, with a bold hexagon showing its large market area. Six towns sit at the corners of that hexagon, and each town has a medium hexagon for its market area. Many small villages fill the spaces between, each with a small hexagon for its market area. Bigger places are fewer and farther apart, sell more kinds of goods and serve bigger areas.CityTownVillageCity's market areaTown's market areaVillage's marketareaBigger places sellmore goods andserve bigger areas.
Central place theory's nested hexagons

Strengths

  • Explains why there are many small towns and only a few big cities.
  • Range and threshold help businesses decide where to locate.

Limits

  • Assumes flat land, evenly spread people with equal incomes and travel that's equally easy in every direction.
  • Assumes shoppers always go to the nearest place, which they often don't.
  • Highways, online shopping and uneven wealth distort the neat pattern.

On the exam: Range and threshold come up often: explain why a hospital is in a city but a gas station is in a small town, or why a business closes when its threshold is lost.

Learn it:Topic 6.4 The Size and Distribution of Cities

Concentric zone model

Ernest Burgess, 1925

Based on Chicago, the concentric zone model says a city grows outward from its center in rings. Each ring has a different use. As new groups arrive and people get richer, they move outward, and newer arrivals take their place.

1. Central business district (CBD)
Offices, stores and the most valuable land.
2. Zone of transition
Factories, warehouses and run-down housing, where new immigrants and the poorest residents often lived.
3. Working-class homes
Modest housing for factory workers who moved out of the zone of transition.
4. Middle-class homes (better residences)
Larger, newer homes for middle-class families.
5. Commuter zone
Suburbs beyond the city, where wealthier people live and travel in to work.

Example: Chicago in the 1920s, which Burgess studied, matched the model fairly well, with immigrant neighborhoods next to the Loop.

Burgess concentric zone modelFive rings around one center. Zone 1, in the middle, is the central business district. Zone 2 around it is the zone of transition. Zone 3 is working-class homes. Zone 4 is middle-class homes, also called better residences. Zone 5, the outermost ring with a dashed edge, is the commuter zone. A numbered key on the right names each zone.123451Central businessdistrict (CBD)2Zone of transition3Working-classhomes4Middle-class homes(better residences)5Commuter zone
Burgess concentric zone model

Strengths

  • Simple and easy to apply, and it explains why income rises with distance in many older U.S. cities.
  • Shows how neighborhoods change as groups move outward (invasion and succession).

Limits

  • Based on one U.S. city before cars were common.
  • Ignores transportation routes, physical features like rivers and hills, and suburban business centers.
  • Doesn't fit cities in many other regions, where the wealthy often live near the center.

On the exam: Expect to identify a zone, compare this model with the sector or multiple nuclei model, or explain why it fits a modern car-based city poorly.

Learn it:Topic 6.5 The Internal Structure of Cities

Sector model

Homer Hoyt, 1939

Hoyt noticed that cities grow in wedges, or sectors, along transportation routes like rail lines, rivers and main roads. Once a sector gets a certain use, it keeps it as the city spreads outward. Wealthy homes form one wedge, and lower-income homes sit next to the industrial wedge.

1. Central business district (CBD)
The center of business at the hub.
2. Wholesale and light industry
A wedge along a rail line or river, where goods can be shipped.
3. Low-income homes
Next to the industrial wedge, close to the jobs but also to noise and pollution.
4. Middle-income homes
The largest area, between the low- and high-income wedges.
5. High-income homes
A wedge reaching out from the CBD along an attractive route, away from industry.

Example: In Washington, D.C., a wealthy wedge runs northwest from downtown through Georgetown toward the Maryland suburbs, while industry and lower-income areas grew along rail lines to the east.

Hoyt sector modelA circular city with the central business district, zone 1, at the center. Wedges spread outward from it. Zone 2, wholesale and light industry, is a wedge running east along a dashed rail line. Zone 3, low-income homes, forms wedges on both sides of the industrial wedge. Zone 4, middle-income homes, fills the largest wedges. Zone 5, high-income homes, is a wedge on the west side, away from industry. A numbered key on the right names each zone.14323451Central businessdistrict (CBD)2Wholesale andlight industry3Low-income homes4Middle-incomehomes5High-income homesRail line
Hoyt sector model

Strengths

  • Adds transportation routes, which the concentric zone model ignored.
  • Explains why wealthy and poor areas often stretch outward in long wedges.

Limits

  • Also based on U.S. cities of the 1930s.
  • Doesn't account for cars, suburban business centers or a city with more than one center.
  • Physical features can break up the wedges.

On the exam: Often compared with the concentric zone model: explain how transportation routes change the pattern, or identify a sector from a map.

Learn it:Topic 6.5 The Internal Structure of Cities

Multiple nuclei model

Chauncy Harris and Edward Ullman, 1945

Harris and Ullman argued that a city doesn't grow around just one center. It grows around several nodes, or nuclei, such as a port, a university, an airport, an industrial district or a suburban business center. Some activities cluster together, and others keep away from each other.

Several centers
The CBD is one center among many, not the only one.
Attract and repel
Related activities cluster, like shops near a university. Others avoid each other, like high-income homes and heavy industry.
Suburbs
Residential and industrial suburbs form at the edges, each with its own center.

Example: Los Angeles fits well: it has many centers, including downtown, Century City, Burbank, Long Beach and the area around the airport.

Harris and Ullman multiple nuclei modelA city drawn as a square made of separate blocks. Zone 1, the CBD, sits near the middle, with zone 2, light industry, beside it. Zone 3, low-income homes, sits above and below them, next to zone 6, heavy industry, toward the lower right. Zone 4, middle-income homes, fills the background. Zone 5, high-income homes, is on the left, away from industry, with zone 8, a residential suburb, at the top left corner and zone 7, an outlying business district, near the top. Zone 9, an industrial suburb, is at the bottom right edge. A numbered key on the right names each zone.857312369441CBD2Light industry3Low-income homes4Middle-incomehomes5High-income homes6Heavy industry7Outlying businessdistrict8Residential suburb9Industrial suburb
Harris and Ullman multiple nuclei model

Strengths

  • Fits car-based cities with many centers much better than the earlier models.
  • Explains why different uses cluster or avoid each other.

Limits

  • Based on U.S. cities and doesn't fit many cities elsewhere.
  • Doesn't predict where each node will form.
  • Says little about the old CBD's role or about the gaps between centers.

On the exam: Expect to compare it with the concentric zone and sector models, or explain why cars and highways made a multiple-nuclei pattern possible.

Learn it:Topic 6.5 The Internal Structure of Cities

Galactic city model

Peirce Lewis, 1983 (the galactic metropolis)

In the galactic city, the old downtown is no longer the main center. The metro area spreads out like a galaxy: suburbs, office parks, shopping centers and edge cities are scattered around a ring road (beltway) and linked by highways. Much of the business activity has moved to the edges. Chauncy Harris's peripheral model (1997) describes a very similar pattern, so you'll often see the two taught together.

Old central city
The original CBD and older neighborhoods in the middle, now one center among many.
Beltway
A highway ring around the central city that ties the suburbs together.
Edge cities
New downtowns of offices and shopping at highway interchanges.
Suburbs
Low-density housing spread across the area between the highways.

Example: Washington, D.C.'s Capital Beltway has edge cities like Tysons, Virginia, and Atlanta and Houston are other spread-out, beltway-centered metros.

Galactic city modelThe old downtown, a small dark dot, sits at the center of a small older central city. A thick beltway circles it, and six highways run outward from the center like spokes. Three edge cities, larger pink circles, sit where highways meet the beltway. Office, shopping and industrial parks are scattered among the suburbs, which fill the whole metro area out to a dashed outer edge. A key on the right names each feature.Old downtown(CBD)Older central citySuburbsEdge city (newsuburban center)Office, shopping orindustrial parkBeltway (ring road)Highway
Galactic city model

Strengths

  • Describes modern, car-based U.S. metro areas better than older models.
  • Explains why many jobs and stores are now in the suburbs.

Limits

  • Fits spread-out, car-based U.S. metros, not compact, transit-based cities in Europe or Asia.
  • Overlooks the revival of many downtowns through gentrification and new development.

On the exam: Often linked to suburbanization, sprawl and edge cities: explain how highways and cars produced this pattern, or compare it with the concentric zone model.

Learn it:Topic 6.5 The Internal Structure of CitiesTopic 6.2 Cities Across the World

Latin American city model

Ernst Griffin and Larry Ford, 1980

This model shows that many Latin American cities are the reverse of U.S. cities: the wealthy live near the center, and the poorest live on the edges. It blends the Spanish colonial layout, built around a central plaza, with modern growth.

CBD
The old colonial center around a main plaza, with a market, government buildings and a cathedral.
Spine and elite residential sector
A wide boulevard running out from the CBD, lined with offices, stores, parks and the homes of the wealthy, often ending at a mall.
Zone of maturity
Well-built, older homes with good services, for the middle class.
Zone of in situ accretion
Housing that's being improved bit by bit, a mix of finished and unfinished homes.
Zone of peripheral squatter settlements
Informal housing on the city's edge, often without running water or sewers.
Disamenity sector
A wedge of the poorest housing that reaches toward the center, often on steep hills, near dumps or along riverbanks.

Example: Mexico City's Paseo de la Reforma works as a spine of wealth and offices, and Lima has large squatter settlements on its outer edges.

Strengths

  • Shows that the U.S. pattern isn't universal.
  • Connects city structure to colonial history and rapid rural-to-urban migration.

Limits

  • Latin American cities vary a lot, and not every one fits.
  • Leaves out newer growth like gated communities and wealthy suburbs on the edge.
  • Squatter settlements are often upgraded over time, blurring the zones.

On the exam: Usually asks where the wealthy or the poor live and why, or how colonial history or migration shaped the city, often by comparison with a U.S. model.

Learn it:Topic 6.5 The Internal Structure of CitiesTopic 6.10 Challenges of Urban Changes

African city model

Harm de Blij

De Blij's model shows that many cities in sub-Saharan Africa have three CBDs instead of one, a result of colonial rule layered on local traditions. Around them sit ethnic and mixed neighborhoods, with informal squatter settlements on the edges.

Colonial CBD
Built by the colonial power, often on a grid, now with modern office buildings.
Traditional CBD
Small local shops, traders and workshops.
Market zone
An open-air or periodic market where much of the city's buying and selling happens.
Ethnic and mixed neighborhoods
Neighborhoods where groups from different regions settle, some mixed.
Mining and manufacturing zone
Industry, often in a wedge or along a rail line.
Informal satellite townships
Squatter settlements at the edge, home to many recent migrants.

Example: Nairobi, Kenya, which began as a British colonial railway town, has a planned colonial-era center, busy local markets and large informal settlements such as Kibera.

Strengths

  • Shows how colonialism shaped city layouts.
  • Highlights the role of the informal economy and informal housing.

Limits

  • Africa is huge and diverse, and colonial histories differed from place to place.
  • Many African cities have grown far beyond the model's simple pattern.

On the exam: Expect to explain the three CBDs or the role of colonialism, or to compare it with another regional model.

Learn it:Topic 6.5 The Internal Structure of Cities

Southeast Asian city model

Terry McGee, 1967

McGee found that many Southeast Asian cities grew around an old colonial port, not a single CBD. Separate zones for government, Western businesses and Chinese merchants surround the port, with housing, squatter areas and farms farther out.

Colonial port zone
The old port, the city's original focus.
Government zone
Government buildings near the port.
Western commercial zone
Businesses started by colonial powers.
Alien commercial zone
A commercial district run largely by Chinese merchants.
Mixed land use and residential zones
Housing for different income groups, with shops and small industry mixed in.
Edges
New suburbs, squatter areas, market gardening and new industrial estates.

Example: Jakarta, Indonesia, grew from the Dutch colonial port of Batavia and still shows a mix of port, government and commercial zones.

Strengths

  • Explains the port-centered layout of many former colonial cities in the region.
  • Shows how trade and ethnic groups shaped city zones.

Limits

  • Based on port cities of the 1960s.
  • Many Southeast Asian cities now have modern CBDs, new towns and sprawling suburbs.

On the exam: Usually asks how colonialism or trade shaped the city, or how the model differs from U.S. models with a single CBD.

Learn it:Topic 6.5 The Internal Structure of Cities

Unit 7: Industrial and Economic Development Patterns and Processes

Weber's least cost theory

Alfred Weber, 1909

Weber said factories locate where their total costs are lowest. The biggest cost is usually transportation, both of raw materials to the factory and of finished goods to market. Labor costs and agglomeration, the savings from clustering with similar firms, can pull a factory to a different spot.

Transportation
Usually the most important cost. The factory sits where the cost of moving inputs and products is lowest.
Bulk-reducing industries
The product weighs less than the inputs, so the factory locates near the raw materials. Copper smelting is the classic example.
Bulk-gaining industries
The product weighs more than the inputs, so the factory locates near the market. Soft-drink bottling adds water, so bottlers sit near customers.
Labor
Cheap labor can pull a factory away from the lowest-transport-cost spot if the savings are big enough.
Agglomeration
Firms save money by clustering, sharing skilled workers, suppliers and services.

Example: Copper is smelted near mines in places like Chile and Zambia to cut shipping weight, while soft drinks are bottled near the cities where they're sold.

Strengths

  • Explains many real factory locations, especially for heavy industry.
  • Helps you reason about why a firm chooses one site over another.

Limits

  • Assumes one market, fixed raw-material sites and equal conditions everywhere else.
  • Container shipping has made transportation so cheap that it often matters less than Weber thought.
  • Ignores government incentives, like special economic zones, and the need for skilled workers.

On the exam: Expect to explain where a bulk-gaining or bulk-reducing industry would locate, or why modern factories sometimes don't follow the model, such as when they move for cheap labor.

Learn it:Topic 7.2 Economic Sectors and Patterns

Rostow's stages of economic growth

Walt Rostow, 1960

Rostow argued that every country develops by climbing the same five steps, from a farming society to one where people buy lots of goods. A country moves up by investing, building industry and trading. It's a modernization theory: it assumes poorer countries can follow the path wealthy ones took.

1. Traditional society
Most people work in subsistence farming, and technology is limited.
2. Preconditions for take-off
New technology, infrastructure and investment arrive, often from outside, and a few industries begin.
3. Take-off
A few industries grow fast, cities grow and the economy starts to industrialize.
4. Drive to maturity
Industry spreads and diversifies, technology improves and living standards rise.
5. High mass consumption
Most people work in services and can afford many consumer goods.

Example: South Korea fits fairly well: it climbed from a poor farming economy in the 1950s to a wealthy, high-tech consumer society in a few decades. Many other countries have stalled at one stage for decades.

Rostow's five stages of economic growthA staircase of five steps rising from left to right. Step 1 is traditional society, step 2 is preconditions for take-off, step 3 is take-off, step 4 is drive to maturity and step 5, the highest, is high mass consumption. An arrow along the bottom shows that, in Rostow's view, every country climbs the same steps over time.1Traditionalsociety2Preconditionsfor take-off3Take-off4Drive tomaturity5High massconsumptionOver time, every country climbs the same steps (Rostow's claim)
Rostow's five stages of economic growth

Strengths

  • Simple to understand and explains the history of many industrialized countries.
  • Shows the role of investment, infrastructure and trade in development.

Limits

  • Based on Western history and assumes every country follows one path at the same pace.
  • Ignores outside forces like colonialism, global trade rules and debt, which can hold countries back.
  • Assumes high mass consumption is the goal, ignoring environmental limits and other ideas of a good life.

On the exam: Often compared with world-system or dependency theory: explain a stage, place a country in one or explain a criticism, such as its Western bias.

Learn it:Topic 7.5 Theories of Development

World-system theory

Immanuel Wallerstein, 1974

Wallerstein saw the world as one connected, unequal capitalist economy. Countries play different roles in it: core, semi-periphery and periphery. The core gets richer from the periphery's cheap labor and raw materials. Countries can move between tiers, but the system itself keeps inequality going.

Core
Wealthy, high-tech, high-wage countries that control capital and trade, such as the United States, Western Europe and Japan.
Semi-periphery
Industrializing countries that are exploited by the core but exploit the periphery, such as China, India, Brazil and Mexico.
Periphery
Lower-income countries that mostly export raw materials and cheap labor, with low wages and little technology.

Example: China moved from the periphery into the semi-periphery as it industrialized after the 1980s, and South Korea has moved close to the core.

Wallerstein's world-system: core, semi-periphery and peripheryThree nested circles. The core is at the center, the semi-periphery is the ring around it, and the periphery is the outer ring. A green arrow points inward from the periphery to the core, showing raw materials, cheap labor and profits flowing to the core. A dark arrow points outward from the core to the periphery, showing factory goods and investment flowing out. A note says countries can move between tiers.CoreSemi-peripheryPeripheryRaw materials,cheap labor andprofits flow into the coreFactory goodsand investmentflow out fromthe coreCountries can movebetween tiers.
Wallerstein's world-system: core, semi-periphery and periphery

Strengths

  • Looks at the whole world economy, not each country alone.
  • Explains why inequality between countries can last, and how history like colonialism shaped it.

Limits

  • Focuses on economics and pays less attention to culture, politics or the environment.
  • Lumps very different countries into three broad groups.
  • Is better at describing inequality than predicting which countries will move up.

On the exam: Expect to classify a country as core, semi-periphery or periphery, or explain how the theory differs from Rostow's: it blames the structure of the world economy, not a country's own stage.

Learn it:Topic 7.5 Theories of DevelopmentTopic 7.2 Economic Sectors and Patterns

Dependency theory

Raúl Prebisch, Andre Gunder Frank and others, 1950s–1960s

Dependency theory says poorer countries stay poor because of how they're tied to richer ones. Colonialism set them up to export cheap raw materials and buy expensive manufactured goods. That unequal trade, along with debt and foreign control of businesses, keeps wealth flowing to rich countries.

Example: Côte d'Ivoire and Ghana grow most of the world's cocoa, yet most of the money from chocolate is made by companies in Europe and North America that process and sell it.

Strengths

  • Explains how colonial history still shapes trade and development today.
  • Challenges Rostow's idea that every country can simply follow the West's path.

Limits

  • Struggles to explain East Asian countries like South Korea and Taiwan, which grew rich through trade with the core.
  • Can overlook problems inside a country, such as corruption or conflict.
  • Its policy advice, cutting ties with rich countries, has a mixed record.

On the exam: Usually contrasted with Rostow, or linked to colonialism, neocolonialism and commodity dependence: explain why a former colony still exports raw materials.

Learn it:Topic 7.5 Theories of Development

Commodity dependence

A country is commodity dependent when most of its export earnings come from one or a few raw goods, like oil, copper, coffee or cocoa. When world prices for that good rise, the economy booms. When they fall, the whole country suffers.

Example: Nigeria earns most of its export income from oil. When oil prices crashed in the mid-2010s, Nigeria fell into a recession in 2016. Zambia depends on copper in the same way.

Strengths

  • Explains why some resource-rich countries have unstable, slow-growing economies.
  • Links development to the global prices and trade patterns that world-system and dependency theory describe.

Limits

  • Not every commodity exporter is poor: Norway and Australia export lots of raw goods and are wealthy.
  • Strong government, saving earnings for bad years and diversifying the economy can soften the risk.

On the exam: Expect to explain how a fall in a crop or mineral price affects a dependent country, or why diversifying the economy would help.

Learn it:Topic 7.5 Theories of DevelopmentTopic 5.9 The Global System of Agriculture