Reading Passage
Paragraph A
In 2010, the Municipal Waste Innovation Council (MWIC), headquartered at 210 Circular Economy Road, Barcelona, Spain, began investigating smart waste management to address rising disposal costs and landfill pressure. At the time, the city generated approximately 1.35 million tonnes of municipal waste annually, with recycling rates below 38%. Early studies conducted between 2011 and 2013 examined sensor-equipped bins, route optimisation software, and pay-as-you-throw models. Pilot districts reported collection cost reductions of 16% and improved recycling compliance, suggesting that data-driven waste systems could enhance efficiency and environmental outcomes.
Paragraph B
Citywide deployment started in 2014, when smart bins were installed in 22 districts. Each bin transmitted fill-level data every 20 minutes, allowing collection routes to be dynamically adjusted. By 2017, over 18,500 smart containers were in operation. According to MWIC records, fuel consumption for waste collection vehicles fell by 21% between 2014 and 2018. The initial rollout cost 185 million and was funded through municipal bonds approved in July 2013.
Paragraph C
Despite operational gains, challenges emerged. A 2016 audit found that 33% of sensors malfunctioned during periods of extreme heat, reducing data reliability. Some residents also raised concerns about data privacy and uneven service coverage in older neighbourhoods. In addition, sanitation workers required retraining to manage new digital tools. MWIC responded by upgrading hardware specifications in 2017 and expanding training programmes at depots in Sant Andreu and El Prat.
Paragraph D
Policy support strengthened after 2018, when the Catalan regional government allocated 420 million to scale smart waste systems across major cities. By 2020, 61% of Barcelonas waste collection network was digitally managed. Environmental monitoring showed that landfill-bound waste declined by 19% between 2018 and 2022, reflecting higher recycling and composting rates.
Paragraph E
Economic and environmental benefits followed. A 2021 evaluation conducted by the Autonomous University of Barcelona estimated annual savings of 92 million from reduced fuel use and operational efficiencies. Carbon emissions from waste transport dropped by 13% between 2017 and 2021. Surveys also indicated increased public participation in waste separation, particularly in districts using incentive-based pricing.
Paragraph F
Future plans focus on integrating artificial intelligence and circular economy principles. MWIC plans to deploy AI-based waste sorting analytics by 2031 to further reduce contamination rates. As of January 2024, 56% of the citys waste infrastructure was connected to smart management platforms. Pilot projects scheduled for 2026 will test robotic sorting facilities at treatment plants in Zona Franca, aiming to close material loops and reduce residual waste.
Questions 1-4: Matching Headings
Instructions: Choose the correct heading for each paragraph from the list below. Write the correct Roman numeral.
List of Headings
i. Financial and emissions-related benefits
ii. Early exploration of digital waste solutions
iii. Technical failures and workforce adaptation
iv. Expansion supported by regional policy
v. Large-scale deployment and operational efficiency
vi. Future circular economy applications
Question 1: Paragraph B
Question 2: Paragraph C
Question 3: Paragraph D
Question 4: Paragraph E
Questions 5-8: True/False/Not Given
Instructions: Write TRUE if the statement agrees with the information, FALSE if it contradicts, or NOT GIVEN if there is no information.
Question 5
Smart waste systems were introduced to reduce recycling rates.
Question 6
Fuel use decreased after route optimisation was implemented.
Question 7
All sensors functioned reliably during extreme weather.
Question 8
Digitally managed waste systems reduced landfill use.
Questions 9-12: Table Completion
Instructions: Complete the table below. Write NO MORE THAN TWO WORDS AND/OR A NUMBER for each answer.
| Category | Measurement | Value |
|---|---|---|
| Metric 1 | Description | |
| Metric 2 | Description | |
| Metric 3 | Description | |
| Metric 4 | Description |
Questions 13-16: Sentence Completion
Instructions: Complete the sentences below. Write NO MORE THAN TWO WORDS AND/OR A NUMBER for each answer.
Question 13
Collection costs fell by percent in pilot districts.
Question 14
Sensor malfunctions affected percent of devices in 2016.
Question 15
Annual operational savings were estimated at million.
Question 16
Transport-related emissions dropped by percent by 2021.
Questions 17-19: Summary Completion
Instructions: Complete the summary below. Write NO MORE THAN TWO WORDS AND/OR A NUMBER for each answer.
Summary paragraph placeholder. First gap text continues. Second gap more text. Third gap conclusion.
Questions 9-13: Short Answer Questions
Instructions: Answer the questions below. Write NO MORE THAN THREE WORDS AND/OR A NUMBER for each answer.
Question 9
Where is the Municipal Waste Innovation Council headquartered?
Question 10
How many smart containers were operating by 2017?
Question 11
Which university conducted the 2021 evaluation?
Question 12
What percentage of waste infrastructure was smart-connected in 2024?
Question 13
In which year are robotic sorting pilots planned?