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(a)(i) The rural-urban fringe is the boundary zone where the urban area meets the surrounding countryside, containing a mix of rural and urban land uses.

(a)(ii) Any two of:
- Out-of-town shopping centers / retail parks
- Science parks / industrial estates
- Airports
- Sewage treatment works / landfills
- Golf courses / recreational parks
- Park and ride schemes
- Bypass roads / motorways

(a)(iii)
- Cheap land: Land prices are significantly lower at the edge of the city than in the CBD.
- Space for expansion: Ample room for large single-story buildings and future expansion of facilities.
- Accessibility: Close to major transport routes like motorways, bypasses, and ring roads, making it easier for customers, deliveries, and workers to access.
- Parking: Space to build large, free car parks for customers.
- Less congestion: Avoids the heavy traffic and narrow streets of the city center.

(b)(i) Three of:
- Mixed land use (residential, light industry, commercial).
- High density, older housing (often terraced or tenement-style).
- Derelict or abandoned buildings / brownfield sites awaiting redevelopment.
- Social issues (e.g., high crime rates, high unemployment, low-income population).
- Gentrification occurring in some areas (older properties being renovated by wealthier residents).
- High proportion of ethnic minority groups or newly arrived migrants.

(b)(ii)
- High rates of rural-urban migration lead to an oversupply of labor in cities.
- Lack of formal job opportunities / formal sectors cannot grow fast enough to absorb the rapid population growth.
- Low levels of formal education or skills among migrants prevent them from securing professional/formal jobs.
- Ease of entry into the informal sector (no qualifications, capital, or official registration required).
- High poverty levels force people to create their own livelihoods (e.g., street vending, shoe shining, waste recycling) to survive.
- Lack of government regulation/enforcement allows informal activities to thrive.

(c) Case study example: Rocinha favela, Rio de Janeiro, Brazil (or Kibera, Nairobi, Kenya).
Strategies:
- Self-help schemes (e.g., Favela-Bairro Project): The local government provides materials (bricks, cement, tiles) while residents provide the labor to upgrade their homes. This improves structural safety and fosters community pride.
- Site and service schemes: Land is cleared and prepared with basic infrastructure (piped water, electricity, sewage pipes, paved roads) before residents build their houses on allocated plots.
- Infrastructure development: Laying down formal sewage systems and water mains to reduce waterborne diseases, and installing electricity cables to replace illegal and dangerous hookups.
- Improving accessibility: Building cable cars (such as in Complexo do Alemão, Rio) or paved stairs/roads up steep hillsides to connect isolated settlements to public transit and employment centers.
- Provision of public services: Setting up local clinics, schools, and community centers to improve health and literacy rates.
- Legalization of land tenure: Issuing land deeds to residents so they cannot be easily evicted, giving them the confidence to invest money into improving their homes.

(a)(i) 1 mark for a clear definition showing the boundary/transition nature.
- e.g., The area at the edge of the city where urban and rural land uses mix. (1)
- Note: Do not accept just 'the edge of town' without referring to the mixing/transition of land uses.

(a)(ii) 1 mark per valid land use identified (maximum 2 marks).
- Accept: Retail parks, airports, landfills, science parks, golf courses, bypasses, motorways, low-density suburban housing.
- Reject: Skyscrapers, high-rise flats, CBD.

(a)(iii) 1 mark per valid explanation (maximum 3 marks).
- Land is cheaper (1) which reduces capital investment costs (1).
- More space is available (1) for large car parks or large single-story buildings (1).
- Better road accessibility (1) as they are located near major bypasses or ring roads (1).
- Avoids CBD traffic congestion (1).

(b)(i) 1 mark per valid characteristic described (maximum 3 marks).
- Mixed residential and industrial land use (1).
- High density / terraced housing (1).
- High levels of dereliction / run-down buildings (1).
- Evidence of redevelopment or gentrification (1).
- Low-income residents / high crime / social deprivation (1).

(b)(ii) 1 mark per valid explanation (maximum 4 marks).
- Rapid urban population growth / high migration rates (1).
- Not enough formal jobs available / high unemployment (1).
- Many migrants lack formal education, qualifications, or skills (1).
- High cost/difficulty of setting up a formal business (taxation, licenses) (1).
- Low barriers to entry for informal activities / cheap to start (1).
- Lack of government enforcement against informal traders (1).

(c) 5 marks total (Case Study).
- Level 1 (1–2 marks): Simple, generic statements describing improvements without specific detail or naming a case study.
- e.g., 'They gave them bricks to build better houses and put in clean water pipes.'
- Level 2 (3–4 marks): More detailed descriptions/explanations of strategies with some specific local details or named schemes.
- e.g., 'In Rio de Janeiro, the Favela-Bairro project was launched. The government provided building materials so residents could improve their self-help housing. They also paved roads and added sanitation systems.'
- Level 3 (5 marks): Comprehensive and well-focused explanation of multiple strategies, well-linked to a specific named case study with precise geographical detail.
- e.g., 'In Rocinha favela, Rio de Janeiro, the government implemented site and service schemes where they cleared steep, landslide-prone slopes and installed concrete foundations. They also constructed a new cable car system connecting the top of the hills to the main transit network, improving employment access. Piped water and sewage systems were introduced to 70% of households, drastically reducing cholera cases.'

(a)(i) Longshore drift is the movement of sand and sediment along a coastline in a zig-zag direction, determined by the angle of the prevailing wind.

(a)(ii) Any two differences:
- Constructive waves have a strong swash and a weak backwash, whereas destructive waves have a weak swash and a strong backwash.
- Constructive waves have a lower wave height (under 1m) and longer wavelength, whereas destructive waves have a high wave height (over 1m) and short wavelength.
- Constructive waves have a lower frequency (6-9 per minute), while destructive waves have a higher frequency (11-15 per minute).
- Constructive waves deposit sediment and build up the beach, while destructive waves erode sediment and remove material from the beach.

(a)(iii)
- Longshore drift moves sediment along the coastline in a zig-zag direction due to prevailing winds.
- Where the coastline changes direction (e.g., at an estuary or headland), the sediment continues to be deposited in the same direction out into the sea.
- Over time, the accumulated material builds up above the sea level, forming a long, thin ridge of sand or shingle called a spit.
- The end of the spit may curve inwards (forming a hook) due to changes in wind or current direction, and a salt marsh often forms in the sheltered water behind the spit.

(b)(i)
- Coastline X is dominated by constructive waves.
- Wave height is lower on Coastline X (0.4m) compared to Coastline Y (2.3m).
- Wave frequency is lower on Coastline X (7 per minute) compared to Coastline Y (14 per minute).
- Coastline X has a strong swash and weak backwash, which deposits sediment, whereas Coastline Y has a strong backwash which erodes sediment.

(b)(ii)
- Sand dredging/mining: Removing sand from offshore or beaches reduces the volume of sediment available to absorb wave energy, leaving cliffs more exposed to direct wave attack.
- Coastal development/building: Construction of hotels or roads on cliff tops increases the weight and load on the cliff, causing mass movement/slumping.
- Building sea walls/groynes upstream: Groynes trap sediment in one area, starving down-drift coastal areas of sediment, which reduces beach size there and increases erosion.
- Destruction of natural defenses: Clearing mangrove forests or destroying coral reefs for tourism/aquaculture removes natural barriers that dissipate wave energy before it reaches the shore.

(c) Case study example: Holderness Coast, Yorkshire, UK.
Strategies:
- Sea walls: Built at Hornsea and Withernsea to reflect wave energy back to sea and protect residential areas and hotels.
- Groynes: Wooden barriers built at Hornsea to trap sediment transported by longshore drift, creating wider beaches that protect the cliffs.
- Rip-rap (rock armour): Placed at the base of cliffs at Mappleton to absorb wave impact.
- Off-shore reefs/breakwaters: Placed to break waves further out to sea.

Evaluation of success:
- Highly successful at Hornsea and Mappleton, where properties and infrastructure (like the B1242 road at Mappleton) have been protected from falling into the sea.
- However, the groynes at Mappleton have starved the coast further south (e.g., Great Cowden) of sediment, leading to a narrower beach and significantly accelerated rates of cliff erosion (up to 10 meters per year) there.
- The sea walls are expensive to build and maintain, and they can look unsightly, reducing tourism appeal.

(a)(i) 1 mark for defining longshore drift.
- e.g., The movement of material/sediment along the coast/beach (1).
- Must mention movement along the coast (not just up and down the beach) to get the mark.

(a)(ii) 1 mark per valid comparative point (maximum 2 marks).
- Constructive waves have a stronger swash than backwash, but destructive waves have a stronger backwash than swash (1).
- Constructive waves have lower wave heights / lower frequency than destructive waves (1).
- Constructive waves build up beaches, whereas destructive waves erode them (1).

(a)(iii) 1 mark per point of explanation (maximum 3 marks).
- Longshore drift carries sediment along the coast (1).
- Coastline changes direction / turns (1).
- Deposition of sediment continues out into the open water / sheltered bay (1).
- Over time, sediment builds up to form a ridge / hook / spit (1).

(b)(i) 1 mark for identifying Coastline X.
- 2 marks for explaining using data from the table (must use comparative data or refer to specific values for Coastline X).
- e.g., Coastline X has a wave frequency of 7 per minute which is low (1) and a wave height of 0.4m which is low, characteristic of constructive waves (1).
- e.g., Coastline X has a strong swash and weak backwash which builds up sediment, unlike Y which has a strong backwash (1).

(b)(ii) 1 mark per valid explanation (maximum 4 marks).
- Removal of sand/gravel from beaches (beach dredging) reduces beach size, meaning waves attack cliffs directly (1).
- Building groynes traps sediment, starving beaches further down the coast which accelerates erosion there (1).
- Removal of coral reefs / cutting down mangroves removes natural barriers to waves, allowing high-energy waves to erode the coast (1).
- Building on cliff tops adds weight/load, increasing risk of cliff collapse/slumping (1).

(c) 5 marks total (Case Study).
- Level 1 (1–2 marks): Describes general coastal management strategies (e.g., sea walls, groynes) without linking them clearly to a specific location or showing evaluation.
- e.g., 'They built sea walls to stop the waves and groynes to keep the sand on the beach. It was successful because the houses didn't fall down.'
- Level 2 (3–4 marks): Describes specific management strategies used in a named coastal area and offers a simple evaluation of success/failure.
- e.g., 'At Mappleton on the Holderness Coast, two rock groynes were built. This was successful because it created a wide beach and saved the B1242 road. However, it caused erosion to increase further down the coast at Great Cowden.'
- Level 3 (5 marks): Comprehensive description of multiple strategies in a named coastal area with a balanced, detailed evaluation of success, supported by specific geographical facts/figures.
- e.g., 'On the Holderness Coast, the £2 million scheme at Mappleton in 1991 involved two granite groynes and a rock revetment. While highly successful in protecting Mappleton's cliffs and the vital B1242 highway, it resulted in terminal groyne syndrome down-drift. At Great Cowden, the starvation of sediment reduced beach size, causing erosion rates to double from 1.7m/yr to over 3m/yr, demonstrating that local protection can cause wider environmental conflicts.'

(a)(i) Any one of:
- Literacy rate
- Life expectancy
- Infant mortality rate
- Access to clean water / sanitation
- Number of doctors per 1000 people

(a)(ii)
- It is an average (mean) value, which masks massive inequalities between the very rich and the extremely poor.
- It does not account for the informal economy (e.g., subsistence farming, informal trading), which is huge in many developing nations but goes unrecorded.
- It does not show how government revenue is spent (e.g., spent on military vs healthcare or education).
- It does not account for cost of living differences (unless adjusted for PPP).

(a)(iii)
- It is a composite index that combines three key dimensions: health (life expectancy), education (mean and expected years of schooling), and living standards (GNI per capita adjusted for PPP).
- It gives a broader, more holistic view of human development rather than just money.
- It prevents a country with a high GDP due purely to natural resources (like oil) but poor public services from ranking misleadingly high in overall development.

(b)(i)
- Primary sector employment (e.g., farming, mining) decreases significantly.
- Secondary sector employment (e.g., manufacturing, construction) initially increases as the country industrializes, but then declines as the country moves into the high-income stage.
- Tertiary sector employment (e.g., services, banking, tourism) increases steadily and becomes the dominant sector.
- Quaternary sector employment (e.g., IT, R&D) emerges and grows in HICs.

(b)(ii)
- Inward Investment / FDI: MNCs build factories and offices, bringing massive direct foreign investment into the economy.
- Job Creation: MNCs create thousands of jobs, which increases household incomes and raises local purchasing power.
- Infrastructure Upgrades: To support their operations, MNCs or governments build modern transport (ports, roads, railways) and energy grids, benefiting local businesses too.
- Technology and Skill Transfer: Local workers learn advanced technical, manufacturing, and managerial skills which can then be applied to local domestic industries.
- Export-Led Growth: Factories produce goods for export, improving the national balance of trade and increasing government tax revenues.

(c) Case study example: Italy (North-South divide) or Brazil (Southeast vs Northeast).
Example: Italy.
Inequalities described:
- The North (e.g., Lombardy, Piedmont) has high incomes, low unemployment, modern industrial infrastructure, and high living standards.
- The South (the Mezzogiorno) has lower average incomes, high unemployment (especially among youth), higher dependence on agriculture, and poorer public infrastructure.

Reasons explained:
- Physical Geography: The North is close to the rest of Europe (easy trade routes) and has the fertile Po Valley. The South is mountainous (Apennines), has drier soils, and is geographically isolated from European markets.
- Industrialization: Major industrial giants (like FIAT, Pirelli) established in the North, creating a cumulative causation effect (multiplier effect). The South remained heavily agricultural.
- Infrastructure: The North has dense road, rail, and port networks. The South has poorer transport connections, which discourages MNCs from locating there.
- Historical factors: Historical political instability and the presence of organized crime (e.g., Mafia) in the South have historically deterred investment.

(a)(i) 1 mark for any valid social indicator.
- Accept: Literacy rate, life expectancy, infant mortality rate, access to clean water, number of people per doctor.
- Reject: GDP, GNP, GNI per capita, industrial output (these are economic).

(a)(ii) 1 mark per valid explanation (maximum 2 marks).
- It is an average and hides the gap between rich and poor / inequalities (1).
- It does not include informal work / subsistence farming (1).
- It doesn't show how the money is spent (e.g., corruption or military vs education) (1).

(a)(iii) 1 mark per point of explanation (maximum 3 marks).
- It is a composite index / uses more than one indicator (1).
- It measures both economic and social progress (health and education) (1).
- It avoids the distortion caused by high resource wealth (e.g. oil-rich states with poor social services) (1).

(b)(i) 1 mark per described change in sector (maximum 3 marks).
- Primary sector decreases (1).
- Secondary sector increases then decreases / peaks in MIC stage (1).
- Tertiary sector increases and becomes dominant (1).
- Quaternary sector emerges / increases in HICs (1).

(b)(ii) 1 mark per explanation of how globalization/MNCs drive development (maximum 4 marks).
- MNCs bring Foreign Direct Investment (FDI) which injects capital into the economy (1).
- They create direct and indirect jobs, reducing unemployment (1).
- Upgrades to infrastructure (roads, ports, electricity) to support factories benefit the wider country (1).
- Local workers are trained, leading to skill transfer/technological advancement (1).
- Boosts export earnings and government tax revenue through corporate tax (1).

(c) 5 marks total (Case Study).
- Level 1 (1–2 marks): Simple, generic description of differences between a rich region and a poor region, without specific names or geographical reasons.
- e.g., 'One part of the country is rich because it has lots of factories and the other is poor because it only has farms.'
- Level 2 (3–4 marks): Identifies a named country and its regions, describing specific inequalities and giving some explanations (e.g. physical or industrial factors).
- e.g., 'In Italy, the North is much richer than the South (Mezzogiorno). The North has major car factories like Fiat in Turin which creates jobs, while the South is mountainous and dry, making farming difficult and transport poor.'
- Level 3 (5 marks): Detailed description and clear explanation of regional inequalities in a named country, utilizing specific regional names, facts, and geographical terminology (e.g. cumulative causation, physical isolation, infrastructure gaps).
- e.g., 'In Italy, there is a clear North-South divide. The North, including Lombardy, has a GNI per capita nearly double that of Calabria in the South. This inequality is explained by the flat, fertile Po Valley and proximity to European markets, which facilitated early industrial development (e.g., the Milan-Turin-Genoa industrial triangle). This created a positive multiplier effect. Conversely, the South (Mezzogiorno) is physically isolated, dry, and mountainous (the Apennines), which restricted infrastructure development. Historical lack of investment and issues with organized crime further deterred foreign investment, keeping the region dependent on low-value agriculture.'

Example Case Study: Rio de Janeiro, Brazil

Challenges:
- Growth of informal settlements (favelas) like Rocinha on steep hillsides, making them vulnerable to landslides, especially during heavy rains.
- Lack of basic services; approximately 12% of the population in favelas do not have access to running water and 30% lack electricity.
- High crime and gang violence, particularly related to drug trafficking in areas like Complexo do Alemão.

Management Strategies:
- The Favela-Bairro Project (Slum Upgrading Project): The local authority has paved streets, installed water pipes, built formal drainage systems, and secured slopes to reduce landslide hazards.
- Introduction of Cable Cars: In Complexo do Alemão, a cable car system was constructed to connect residents directly to the main railway network, improving access to employment and services in the central business district (CBD).
- Pacifying Police Units (UPPs): The government deployed specialised police forces to reclaim control of favelas from drug gangs, lowering homicide rates and improving local security.

Level 1 (1 to 3 marks): Simple statements identifying challenges and/or management strategies.
- Challenges: People live in slums; there is too much traffic; crime is high; no clean water.
- Management: They build brick houses; they put in police; they build cable cars.

Level 2 (4 to 6 marks): Developed statements explaining the challenges or describing the management schemes.
- Challenges: Due to rapid growth, people build temporary shelters on steep slopes in Rocinha, which are highly vulnerable to mudslides during tropical storms, risking lives.
- Management: The Favela-Bairro Project has upgraded slums by paving roads and installing formal sanitation pipelines to reduce the spread of water-borne diseases like cholera.

Level 3 (7 marks): Minimum of two fully developed Level 2 points (one covering a challenge and one covering management) with specific, accurate place detail (e.g., Rocinha, Complexo do Alemão, Favela-Bairro, Pacifying Police Units).

Example Case Study: River Ganges and Brahmaputra, Bangladesh

Causes of Flooding:
- Physical: Monsoon rainfall brings intense precipitation between June and September; melting snow from the Himalayas increases discharge; low-lying flat topography (delta) covers about 80% of the country, leaving no natural run-off gradient.
- Human: Deforestation in the upper catchment area (Nepal) reduces interception rates, increasing surface run-off and sediment load in the river, which silts up the riverbed and lowers channel capacity.

Management Strategies:
- Over 5000 flood shelters have been built on concrete stilts, allowing local communities to evacuate safely above floodwaters with their livestock.
- Construction of embankments (levees) along major rivers to increase channel capacity and protect agricultural land from submergence.
- Flood forecasting and warning systems, utilizing satellite data, provide local farmers with up to 72 hours of notice to harvest crops and evacuate.

Level 1 (1 to 3 marks): Simple statements explaining causes and/or describing management.
- Causes: It rains a lot; snow melts; trees are cut down.
- Management: They build walls; they build shelters; they warn people.

Level 2 (4 to 6 marks): Developed statements explaining causes or describing management.
- Causes: Deforestation in the Himalayan foothills of Nepal reduces interception, meaning more water reaches the river quickly as surface run-off, raising river levels.
- Management: The government has built raised flood shelters on stilts, which allows rural populations to escape rising floodwaters and reduces the death toll during major floods.

Level 3 (7 marks): At least two developed Level 2 points (covering both causes and management) with specific place detail (e.g., Bangladesh, Ganges, Himalayas, Brahmaputra, Nepal).

Example Case Study: Kenya (Maasai Mara and Mombasa Coast)

Economic Benefits:
- Direct and Indirect Employment: Local people work as safari guides, hotel staff in Mombasa resorts, and park rangers, which provides stable incomes and reduces local poverty.
- Foreign Exchange Earnings: High-spending international tourists pay park entry fees (e.g., at Maasai Mara National Reserve), which generates revenue for the national government to invest in local infrastructure like roads and hospitals.
- Multiplier Effect: Local Maasai craft markets sell handmade beadwork directly to tourists, boosting micro-enterprises.

Negative Environmental Impacts:
- Soil Erosion and Habitat Destruction: Safari minibuses frequently drive off-road to get closer to wildlife, destroying vegetation and causing severe soil compaction and erosion.
- Coastal Pollution: Hot spots like Mombasa have seen sewage from beach hotels discharged into the Indian Ocean, damaging coral reefs and harming marine life.
- Wildlife Disruption: High volumes of tourist vehicles disturb predator hunting patterns, particularly cheetahs, and disrupt natural migrations.

Level 1 (1 to 3 marks): Simple statements explaining benefits and/or describing environmental impacts.
- Economic benefits: People get jobs; they make money from selling souvenirs; roads are built.
- Environmental impacts: Minibuses scare animals; hotels dump sewage in the sea; litter is left.

Level 2 (4 to 6 marks): Developed statements explaining benefits or describing environmental impacts.
- Economic benefits: Tourism creates direct employment in coastal hotels like those in Mombasa, allowing local people to earn regular wages and pay taxes to the government.
- Environmental impacts: In the Maasai Mara, safari vehicles frequently drive off-road to show tourists predators, which destroys the grass cover and leads to wind and water soil erosion.

Level 3 (7 marks): At least two developed Level 2 points (covering both economic benefits and environmental impacts) with specific place detail (e.g., Maasai Mara, Mombasa, Indian Ocean, Kenya).

a) i) The symbol at 294432 represents a church with a spire. ii) The railway intersecting the road at 312411 indicates a level crossing. iii) The red-coloured road in square 2845 represents an A-road (primary route). b) i) The distance is calculated using Pythagoras' theorem on the grid differences: \(Easting \ diff = 2.3 \text{ km}\), \(Northing \ diff = 2.5 \text{ km}\). \(\text{Distance} = \sqrt{2.3^2 + 2.5^2} = 3.40 \text{ km} = 3400 \text{ m}\) (acceptable range: 3350m to 3450m). ii) Compass direction is North-East (NE). Grid bearing is \(\arctan(2.3/1.4) \approx 059^\circ\) (acceptable range: 057 to 061 degrees). c) The River Garnock shows a highly meandering course with a distinct flood plain. Tributaries feed into it, and there are steep-sided valley walls to the north-east. d) i) Woodland is mostly clustered on steep slopes in the north-west of the map, with linear belts along valleys, avoiding flat agricultural plains and the highest barren summits. ii) Recreational symbols include a golf course, a caravan park, and a public viewpoint. e) Rise = \(120\text{m} - 30\text{m} = 90\text{m}\). Run (1 grid square) = \(1000\text{m}\). Gradient = \(90 / 1000 = 0.09\) or \(1 \text{ in } 11.1\).

a) i) 1 mark for: Church with spire. ii) 1 mark for: Level crossing. iii) 1 mark for: A-road / Primary road / A737. b) i) 2 marks for: 3400m (allow 3350m to 3450m). Deduct 1 mark if unit (metres) is omitted or incorrect. ii) 2 marks: 1 mark for direction (North-East / NE) and 1 mark for bearing (059 degrees, allow 57 to 61). c) Max 4 marks for any four of: Meandering/winding channel, wide/flat flood plain, presence of tributaries/confluence, steep-sided valley sides, flows south/south-east, river cliffs/cut-offs. d) i) Max 3 marks for: Clustered/concentrated in the north-west, on steeper slopes, linear belts along rivers, absent on high summits, absent on flat lowlands. ii) Max 3 marks for identifying three distinct features: Golf course, caravan site, viewpoint, picnic site, youth hostel (1 mark per correct feature). e) Max 3 marks: 1 mark for identifying height difference (90m), 1 mark for horizontal distance (1000m), 1 mark for correct gradient calculation (1 in 11.1, or 1:11, or 9%, or 0.09).

(a) Identifying the key symbol at 223415 reveals a Caravan site. (b) Drawing a line from the triangulation pillar at 201394 to the church at 228411 shows a direction towards the north-east (bearing approx \(050^\circ\)). (c) Measuring the map distance between 214385 and 237402 gives approximately 11.2 cm. On a 1:25 000 scale map, 1 cm represents 250 m, so \(11.2 \times 250 = 2800\) metres. (d) The River Garnock shows typical lower-course features including prominent meanders, a wide flat valley floor/floodplain, gentle valley sides, and pockets of marshy ground.

(a) Caravan site = 1 mark. (b) North-east / NE or bearing of \(048^\circ\) to \(052^\circ\) = 1 mark. (c) 2800 m (Accept 2700m to 2900m) = 2 marks (1 mark for correct map measurement of 10.8 to 11.6 cm, 1 mark for correct conversion to metres). (d) Max 4 marks for physical features: Meandering / winding course (1); flows south / south-westwards (1); wide / flat valley floor / floodplain (1); gentle valley sides / low gradient (1); presence of marsh / swamp (1); presence of river cliffs / slip-off slopes (1).

(a) The map displays a clear sand spit and extensive sand dunes along the coast. (b) The spit grows towards the south/south-east, and the mouth of the River Irvine is deflected southwards, showing that longshore drift is moving sediment from north to south. (c) Constructive waves are low-energy waves that build up beaches. Their strong swash moves sand up the beach, while their weak backwash lacks the energy to pull the sand back into the sea.

(a) Any 2 of: Sand dunes (1), spit (1), sandy beach (1), mudflats / salt marsh (1). (b) Direction: Southwards / South-eastwards / South-south-eastwards = 1 mark. Evidence: Spit projects/points southwards OR River Irvine/Garnock outlet is deflected southwards = 1 mark. (c) Max 4 marks: Low wave height / low frequency (1); strong swash (1); carries/deposits sediment up the beach (1); weak backwash (1); fails to remove sediment / low energy (1).

(a) Wind speed is measured using an anemometer, which must be placed in an open area away from obstacles like trees or buildings. (b) Diurnal range is the difference between maximum and minimum: \(11.2^\circ\text{C} - 3.4^\circ\text{C} = 7.8^\circ\text{C}\). (c) The Stevenson Screen protects thermometers from direct sunlight and wind while allowing ambient air to circulate. Louvered sides allow air flow, the white paint reflects heat, the wooden frame insulates, and legs raise it above ground radiation.

(a) Instrument: Anemometer = 1 mark. Position: Open space / high ground / on a mast / away from obstacles = 1 mark. (b) Working: \(11.2 - 3.4\) = 1 mark. Correct answer: \(7.8^\circ\text{C}\) (units required) = 1 mark. (c) Max 4 marks: Painted white to reflect sunlight/heat (1); slatted/louvered sides to allow air to circulate freely (1); raised on legs (1.2m to 1.5m) to prevent ground radiation (1); made of wood to insulate/prevent conduction (1); double-layered roof with air gap to insulate (1).

(a) Kilwinning shows several major transport connections: A737 and A738 roads meet here, and a railway line runs through with a station. (b) The industrial estates are located on the urban-rural fringe (periphery) of Irvine, clustered near the high-capacity A78 bypass. (c) These edge-of-town locations offer spacious, flat land which is cheaper than central sites, easy transport of raw materials and finished goods, and keep polluting industries away from residential zones.

(a) Any 2 of: Meeting/convergence of major A-roads (A737/A738) (1); presence of railway line / station (1); bridge crossings over the River Garnock (1); multiple routes radiating outward (1). (b) Any 2 of: Located on the outer edge / urban-rural fringe (1); adjacent to major transport corridors / A78 dual carriageway (1); clustered/concentrated in specific industrial estates (1); separated from residential areas (1). (c) Max 4 marks: Flat/gently sloping land is cheaper/easier to build on (1); proximity to dual carriageways (A78) for fast transport of bulky goods (1); cheap land at the urban fringe (1); room for future expansion (1); nearby residential areas provide a labor force (1); separated from housing, reducing noise/pollution conflicts (1).

(a) The map displays several facilities including golf links (courses), a caravan park/campsite, and designated viewpoints. (b) High accessibility is shown by the A78 dual carriageway running parallel to the coast and the railway line with passenger stations at both Stevenston and Irvine. (c) Tourists can cause trampling of fragile marram grass, leading to wind blowouts and loss of dune stability. Litter, fires, and wildlife disturbance are also major environmental threats.

(a) Any 3 of: Golf course / links (1); caravan park / campsite (1); nature reserve / country park (1); sandy beach / dunes (1); viewpoint / picnic site (1); cycle path / long-distance trail (1). (b) Any 2 of: Dual carriageway / A78 provides high-speed road access (1); railway line / stations at Stevenston and Irvine allow passenger rail travel (1); connecting B-roads link towns directly to the beachfront (1). (c) Any 3 of: Trampling of marram grass / dune vegetation (1); leads to wind blowouts / sand dune erosion (1); litter / waste harms coastal wildlife (1); disturbance to nesting shorebirds / fauna (1); increased risk of fire from barbecues/campfires (1); habitat destruction for tourism infrastructure like parking lots (1).

### Detailed Solution & Steps

**Part (a) Fieldwork Setup**
* **(i)** Coastal areas present several hazards. Two classic answers are tide entrapment and slipping. Checking tide tables ensures students work safely during low tide. Wearing sturdy footwear reduces the risk of slips.
* **(ii)** A pilot study acts as a dress rehearsal. It helps check if the equipment (like callipers) works properly and ensures that the interval chosen for systematic sampling is realistic for the beach size.
* **(iii)** Systematic sampling requires a fixed, regular pattern. Laying a 25-meter tape measure perpendicular to the sea and selecting pebbles at exact 5-meter marks represents a systematic approach.

**Part (b) Hypothesis 1 (Pebbles)**
* **(i)** Using a caliper is the standard geographical method for pebble length. It minimizes human measurement error compared to using a flat ruler on a curved pebble.
* **(ii)** Powers' Scale of Roundness is visual. Because it relies on human eyesight and interpretation, it suffers from subjectivity.
* **(iii)** Sum the values for 20m: \(6.2 + 5.8 + 7.5 + 4.5 + 6.0 = 30.0\). Divide by the sample size (5): \(30.0 / 5 = 6.0\) cm.
* **(iv)** State clearly that the hypothesis is correct. Support this by comparing the extremes: 1.6 cm at the shoreline (0m) to 8.5 cm at the back of the beach (25m), noting the steady step-by-step increase.
* **(v)** Explain attrition: waves rubbing stones against each other near the shoreline, reducing size. Explain storm wave transport: high-energy waves deposit larger fragments at the cliff foot, where they remain dry and untouched by regular daily attrition.

**Part (c) Hypothesis 2 (Groynes)**
* **(i)** Longshore drift moves material along the coast. Groynes block this movement. Material piles up against the updrift side (higher beach, smaller drop) and is depleted on the downdrift side (lower beach, larger drop).
* **(ii)** Average calculation: \((0.80 + 0.80 + 0.80) / 3 = 0.80\) m.
* **(iii)** The hypothesis is correct because the drop on the West side (averaging 0.37m) is much smaller than on the East side (averaging 1.17m). This indicates sediment accumulation on the western side of the barriers, proving transport is from West to East.
* **(iv)** Reliability is improved by repeating the measurements, increasing sample size (measuring more pebbles, e.g., 20 instead of 5), and taking measurements at different times of the year.

**Part (a) [Total: 6 marks]**
* **(i)** 2 marks: 1 mark for each hazard coupled with its appropriate safety management strategy.
* **(ii)** 2 marks: Any two logical reasons for a pilot study (e.g., testing equipment, timing, safety check).
* **(iii)** 2 marks: 1 mark for mentioning laying down a transect/tape line, 1 mark for stating that pebbles are collected at fixed/regular intervals (e.g., every 5 meters).

**Part (b) [Total: 12 marks]**
* **(i)** 2 marks: 1 mark for identifying the correct tool (caliper/vernier caliper), 1 mark for describing how it measures the longest axis (long axis) of the pebble.
* **(ii)** 1 mark: Identification of subjectivity / human bias.
* **(iii)** 2 marks: 1 mark for correct working showing sum divided by 5, 1 mark for correct answer (6.0 cm with unit).
* **(iv)** 4 marks: 1 mark for stating the hypothesis is correct/supported. 3 marks for data evidence (must include shoreline vs cliff foot values and highlight the continuous increase along the profile).
* **(v)** 3 marks: 1 mark for wave attrition explanation (smaller/rounder at sea), 1 mark for storm waves/high energy deposition of larger material at the back of the beach, 1 mark for sorting process (swash/backwash energy differences).

**Part (c) [Total: 12 marks]**
* **(i)** 3 marks: 1 mark for noting groynes act as barriers. 1 mark for explaining that the updrift side accumulates sand (smaller drop). 1 mark for explaining that the downdrift side is starved of sand (larger drop).
* **(ii)** 2 marks: 1 mark for working, 1 mark for correct average (0.80m).
* **(iii)** 4 marks: 1 mark for deciding the hypothesis is correct/supported. 3 marks for comparative data evidence showing West drops are consistently smaller than East drops across groynes, proving West-to-East movement.
* **(iv)** 3 marks: Any three logical suggestions to improve reliability (e.g., larger sample size of pebbles, more groynes measured, repeating at different seasons/tides, using multiple transects).

### Model Answers

**(a) (i)**
* **Alternative Hypothesis:** "Pedestrian flow increases as distance from the CBD increases."
* **Explanation:** In a typical city, this is unlikely to be true because the Central Business District (CBD) contains the highest concentration of shops, offices, public services, and transport hubs. These act as high-order attractions drawing large crowds. As you move away from the CBD, land use transitions into residential, industrial, or open space, which generate significantly less foot traffic.

**(a) (ii)**
* Wear high-visibility jackets/vests to remain visible to motorists when working near busy roads.
* Remain in designated groups (e.g., pairs or groups of three) and never conduct fieldwork alone.
* Always cross streets at designated pedestrian crossings, traffic lights, or footbridges.

**(b) (i)**
* Work in small groups where one student acts as the timekeeper using a stopwatch, and another acts as the counter.
* Count pedestrians for a fixed, standardized time period (e.g., exactly 10 minutes) at each site.
* Use a manual tally counter (clicker) or write tally marks on a clipboard to register each pedestrian who crosses an imaginary line across the pavement.
* Count pedestrians moving in both directions to get a complete picture of pedestrian activity.
* Ensure that counts at all sites are conducted simultaneously, or under very similar conditions (e.g., lunchtime peak hours on a weekday) to ensure a fair test.

**(b) (ii)**
* **Advantage:** It removes personal bias when selecting survey sites and ensures an even, standardized geographic coverage across the entire 1,000m transect.
* **Disadvantage:** Important local features/anomalies (like a popular shopping center or a local park) might fall between the 200m points and be missed completely. Alternatively, a pre-set point may be physically inaccessible (e.g., on a private property or a dangerous construction zone).

**(c)**
* The general trend is a continuous decrease in pedestrian flow as the distance from the CBD increases.
* At Site 1 (0m / CBD edge), there is a high pedestrian flow of 142 people per 10 minutes.
* By the time students reach Site 6 (1,000m), the pedestrian flow drops to only 12 people per 10 minutes.
* This represents a total overall decrease of 130 pedestrians over the 1,000-metre distance (\(142 - 12 = 130\)).

**(d) (i)**
An example of a suitable Environmental Quality Index (EQI) sheet:

| Category | -2 (Very Poor) | -1 (Poor) | 0 (Neutral) | +1 (Good) | +2 (Very Good) |
|---|---|---|---|---|---|
| **1. Noise & Traffic** | Deafening traffic noise | Loud, constant background noise | Moderate, normal city noise | Quiet, occasional traffic noise | Extremely peaceful / silent |
| **2. Litter & Waste** | Overflowing bins, heavy litter | Scattered litter on pavements | Clean with minor debris | Very clean, well-kept | Pristine, no litter whatsoever |
| **3. Buildings & Greenery** | Derelict/damaged buildings, no green | Drab, poorly maintained buildings | Standard urban buildings | Well-maintained, some trees | Beautiful architecture, abundant plants/trees |

**(d) (ii)**
* Have multiple students (e.g., 3 or 4) complete the EQI sheet independently at the same site, and then calculate a mean (average) score to minimize individual subjectivity.
* Create strict, detailed descriptors for each score (-2 to +2) prior to starting the fieldwork so everyone understands exactly what qualifies as "poor" or "very good."
* Conduct all assessments on the same day under similar weather conditions, as rain or cold can negatively bias perceptions of environmental quality.

**(e)**
* The environmental quality does not show a simple, continuous linear trend; instead, it fluctuates with distance from the CBD.
* It starts high at the edge of the CBD (Site 1: +6), then drops sharply to its lowest points in the inner-city transition zone (Site 2: -3 and Site 3: -1).
* As distance increases further, quality steadily improves through the outer suburbs (Site 4: +2, Site 5: +5), reaching its highest peak at the urban fringe (Site 6: +7).

**(f) (i)**
* Scatter graph (or scatter plot) with a line of best fit.

**(f) (ii)**
* **Decision:** Yes, the results support Hypothesis 1.
* **Reason:** The pedestrian count decreases consistently at every single site along the transect.
* **Data Evidence:** The flow drops from 142 at Site 1 (0m), to 98 at Site 2, 64 at Site 3, 41 at Site 4, 25 at Site 5, and finally down to 12 at Site 6.

**(f) (iii)**
* **Decision:** No, the results do not support Hypothesis 2 (or only partially support it close to the CBD).
* **Reason:** Instead of decreasing continuously as distance increases, the environmental quality index actually increases overall, reaching its highest level at the furthest point from the CBD.
* **Data Evidence:** While the EQI does drop initially from +6 at Site 1 (0m) to -3 at Site 2 (200m), it then steadily increases to +7 at Site 6 (1,000m), which is higher than the starting value at the CBD edge.

### Marking Scheme Breakdown

**Total Marks: 30**

**(a) (i) [2 marks]**
* 1 mark for formulating a clear positive hypothesis (e.g., "Pedestrian flow increases as distance from the CBD increases").
* 1 mark for explaining why it is unlikely (e.g., CBD contains high-density shopping/services which act as major foot-traffic magnets, whereas suburbs are mostly residential and attract fewer walkers).

**(a) (ii) [2 marks]**
* 1 mark per valid safety precaution (Max 2):
* Wear high-visibility clothing/jackets near roads.
* Work in pairs or small groups / do not go off alone.
* Cross streets only at designated safe crossings (lights/zebra crossings).
* Carry a fully charged mobile phone for communication.

**(b) (i) [4 marks]**
* 1 mark per valid point on method and reliability (Max 4):
* Use of stopwatch/timer to standardize count to 10 minutes.
* Use of tally charts or hand-held clickers to ensure accurate counts.
* Counting pedestrians crossing a clear, imaginary line across the pavement.
* Counting in both directions.
* Standardizing the time of day (e.g., everyone counts at noon) for comparison.
* Dividing roles (one timekeeper, one counter).

**(b) (ii) [2 marks]**
* 1 mark for a valid advantage (e.g., removes bias in site choice, ensures even distribution over the 1,000m transect).
* 1 mark for a valid disadvantage (e.g., may miss significant features that lie between points, or a pre-determined point might be dangerous or inaccessible).

**(c) [3 marks]**
* 1 mark for describing the general trend (negative correlation/continuous decrease with distance).
* 1 mark for using data from two distinct sites (e.g., Site 1 has 142 pedestrians, Site 6 has 12).
* 1 mark for calculating a correct mathematical difference (e.g., a decrease of 130 pedestrians from Site 1 to Site 6).

**(d) (i) [4 marks]**
* 1 mark for a clear grid/table layout with a scale of -2 to +2.
* 1 mark for each sensible urban environmental category included, up to 3 categories (e.g., Noise, Litter, Building/Pavement condition, Traffic fumes, Greenery/Open space).

**(d) (ii) [3 marks]**
* 1 mark per valid method of ensuring objectivity/reliability (Max 3):
* Work in groups of 3-4 and average their scores to eliminate individual bias.
* Define precise criteria for what each score (-2 to +2) looks/sounds like beforehand.
* Complete all assessments under similar conditions (same day/weather).

**(e) [3 marks]**
* 1 mark for stating that the trend fluctuates / is non-linear.
* 1 mark for describing the specific pattern (high at CBD, dips in transition zone, rises in suburbs/urban fringe).
* 1 mark for supporting with data from the table (e.g., +6 at 0m, drops to -3 at 200m, rises to +7 at 1,000m).

**(f) (i) [1 mark]**
* 1 mark for identifying "Scatter graph" (accept scatter plot / scatter diagram). Do NOT accept line graph or bar chart.

**(f) (ii) [3 marks]**
* 1 mark for identifying that the results support the hypothesis (Yes/Agreed).
* 1 mark for explaining that pedestrian flow drops continuously at each successive site.
* 1 mark for quoting supporting data from at least three sites (e.g., 142 at Site 1, 98 at Site 2, 12 at Site 6).

**(f) (iii) [3 marks]**
* 1 mark for identifying that the results do not support the hypothesis (No/Disagreed) / only support it in the first 200m.
* 1 mark for explaining that quality actually increases overall as distance increases beyond the transition zone.
* 1 mark for quoting supporting data (e.g., starts at +6, drops to -3 at Site 2, but rises continuously to +7 at Site 6).