Industrial Location and Agglomeration

Active learning helps students confront the complexity of industrial location and agglomeration by simulating real-world trade-offs. Through mapping, debate, and role-play, they experience how firms weigh multiple factors rather than rely on single variables like cost alone.

• Grade 11
• Geography
• 4 activities
• 35 min–50 min

Learning Objectives

1. Analyze the primary geographic factors influencing specific industrial location decisions, such as proximity to raw materials or markets.
2. Evaluate the economic advantages and disadvantages of industrial agglomeration for both businesses and communities.
3. Compare and contrast the influence of transportation costs on the location of different types of industries.
4. Predict how advancements in automation and logistics might reshape future industrial location patterns.
5. Explain the concept of agglomeration economies and provide examples of industries that benefit from clustering.

Jigsaw

⏱ 50 min·Small Groups

Jigsaw: Location Factors

Divide class into expert groups, each focusing on one factor like transportation or labor. Experts prepare 2-minute explanations with maps and data. Regroup into mixed teams for jigsaw sharing, then teams rank factors for a sample industry like automotive manufacturing.

Prepare & details

Analyze how transportation costs influence industrial location choices.

Facilitation Tip: During the Jigsaw Activity, assign expert groups a specific location factor and provide them with a short case study to analyze before teaching their peers.

Setup: Flexible seating for regrouping

Materials: Expert group reading packets, Note-taking template, Summary graphic organizer

• Understand
• Analyze
• Evaluate
• Relationship Skills
• Self-Management

Case Study Analysis

⏱ 40 min·Pairs

Mapping Simulation: Cluster Builder

Provide regional maps of Ontario. Pairs plot industries based on given scenarios, noting agglomeration effects. Discuss emerging clusters and adjust for drawbacks like congestion using sticky notes. Conclude with whole-class gallery walk.

Prepare & details

Explain the benefits and drawbacks of industrial agglomeration.

Facilitation Tip: When running the Mapping Simulation, circulate with a checklist to verify students annotate their cluster maps with trade-off reasons, not just plotted symbols.

Setup: Groups at tables with case materials

Materials: Case study packet (3-5 pages), Analysis framework worksheet, Presentation template

• Analyze
• Evaluate
• Create
• Decision-Making
• Self-Management

Case Study Analysis

⏱ 45 min·Small Groups

Debate Carousel: Agglomeration Trade-offs

Form small groups to argue pro or con sides on statements like 'Agglomeration always boosts productivity.' Rotate stations to defend and rebut. Vote on strongest arguments and connect to key questions.

Prepare & details

Predict how automation might alter future industrial location patterns.

Facilitation Tip: In the Debate Carousel, give each group a unique scenario card to ensure varied perspectives and prevent repetitive arguments.

Setup: Groups at tables with case materials

Materials: Case study packet (3-5 pages), Analysis framework worksheet, Presentation template

• Analyze
• Evaluate
• Create
• Decision-Making
• Self-Management

Case Study Analysis

⏱ 35 min·Small Groups

Forecasting Role-Play: Automation Scenarios

Assign roles as executives deciding factory sites pre- and post-automation. Groups present choices with pros, cons, and maps. Class votes and debriefs shifts in location patterns.

Prepare & details

Analyze how transportation costs influence industrial location choices.

Facilitation Tip: For the Forecasting Role-Play, provide students with data tables on automation costs and transport rates so they calculate real trade-offs instead of guessing.

Setup: Groups at tables with case materials

Materials: Case study packet (3-5 pages), Analysis framework worksheet, Presentation template

• Analyze
• Evaluate
• Create
• Decision-Making
• Self-Management

Teaching This Topic

Teachers should begin with concrete examples before abstract principles, using Ontario case studies like the GTA’s auto sector or Waterloo’s tech firms to ground the concepts. Avoid overloading students with too many factors at once; focus first on raw materials, markets, and transport, then layer in labor and land costs. Research shows students grasp agglomeration best when they see both the gains and strains of clustering, so include examples like infrastructure congestion or talent shortages in dense areas.

What to Expect

Students will articulate how geographic factors interact in location decisions and identify when agglomeration creates efficiency or inefficiency. They will support claims with evidence from case studies and simulations, showing they can balance benefits and drawbacks in context.

Watch Out for These Misconceptions

Common Misconception

During the Jigsaw Activity, watch for students who assume one factor like taxes or land cost alone determines location.

What to Teach Instead

Redirect them to their expert group’s case study, asking them to identify at least one counterexample where another factor outweighed cost and explain why in their teaching notes.

Common Misconception

During the Mapping Simulation, watch for students who assume all industries benefit equally from clustering.

What to Teach Instead

Prompt them to adjust their cluster maps for a heavy industry like steel vs. a tech firm, then annotate why gains differ due to infrastructure needs or knowledge sharing.

Common Misconception

During the Forecasting Role-Play, watch for students who assume automation removes all geographic constraints.

What to Teach Instead

Have them recalculate transport costs in their scenario after adding robotics, then present how energy grids or data links still tie the plant to specific locations.

Assessment Ideas

Discussion Prompt

After the Jigsaw Activity, pose the question to small groups: 'Imagine you are advising a new electric vehicle battery plant. What are the top three geographic factors you would prioritize for its location in Canada, and why? Have groups share their top factor and justification, referencing the location factor rankings they practiced in the jigsaw.'

Quick Check

After the Mapping Simulation, provide students with a short case study of a furniture maker considering an agglomerated region. Ask them to list two potential benefits and two potential drawbacks, referencing specific concepts like shared suppliers or infrastructure strain they observed in their cluster maps.

Exit Ticket

During the Debate Carousel, have students complete an index card defining 'agglomeration economies' in their own words and naming one Canadian city or region that exemplifies this concept, briefly explaining why based on the debate points they heard.

Extensions & Scaffolding

• Challenge students who finish early to design a relocation plan for a fictional company facing rising transportation costs and labor shortages in an agglomerated region.
• For students who struggle, provide a partially completed location factor ranking template to scaffold their analysis of trade-offs.
• Deeper exploration: Have students research a real Ontario industry cluster, interview a local business owner or use public data to evaluate its agglomeration benefits and costs.

Key Vocabulary

Agglomeration Economies	Cost savings and other advantages that firms gain when they are located near each other in clusters or industrial districts.
Footloose Industries	Industries that can be located in a variety of places without a significant loss of revenue or increase in costs, often due to low transportation costs or reliance on skilled labor.
Least-Cost Theory	A theory suggesting that firms will choose a location that minimizes their total costs, considering expenses like transportation, labor, and raw materials.
Ubiquitous Industries	Industries whose inputs and outputs are widely available, allowing them to be located close to their markets, such as bakeries or printing shops.
Just-in-Time (JIT) Manufacturing	A production strategy where materials or components are delivered to a manufacturing facility only when they are needed, reducing inventory costs and requiring efficient transportation networks.