Fare Evasion Archives - Page 2 of 8

September 4, 2023 Fare Evasion, Public Transport, Safety & Security

Metro DC’s New Strategy to Combat Fare Evasion Proves Effective
Modified fare gates result in a 70% reduction in fare evasion at select stations

The Washington Metro has witnessed a significant decline in fare evasion, thanks to the introduction of modified fare gates. According to a recent update from the agency, there’s been a 70% reduction in fare evasion at stations where these new gates have been installed. This initiative was a response to increased evasion during the...

August 21, 2023 Fare Evasion, Public Transport, Safety & Security

Nice Reactivated Fare Gates and Boosted Staffing to Combat Fare Evasion
Lignes d’Azur implemented a comprehensive plan to counteract an annual loss of 5 million euros due to fare fraud.

The fare gates at Nice’s underground tramway stations have been reactivated after being previously disabled for the COVID-19 crisis due to safety concerns about passenger proximity. Last month, Gal Nofri, the president of Lignes d’Azur, announced this as one of several initiatives to combat fare evasion. This fraud reportedly results in an annual loss...

August 8, 2023 Fare Evasion, Public Transport, Safety & Security

Fare Dodging in Amsterdam: A Troubling Rise
Amsterdam's GVB reports a 50% increase in fare evasion since the pandemic, launching a campaign to tackle the issue.

Since the start of the pandemic in 2019, fare evasion on Amsterdam’s public transportation has increased by 50%, reports the city’s transportation provider, GVB. In 2022, 4.5% of passengers on trams without conductors were found riding without tickets; similar increases were seen on metros, buses, and trams with conductors. The problem, according to the...

July 31, 2023 AI Video Analytics, Fare Evasion, Public Transport, Safety & Security

NYC Subway Measures Fare Evasion Using AI
MTA chooses AWAAIT's AI-technology for subway fare evasion monitoring

The Metropolitan Transportation Authority (MTA), which operates New York City’s subway, has started employing artificial intelligence (AI) to combat the growing issue of fare evasion, a problem that costs the city hundreds of millions each year. The AI surveillance software, created by the Barcelona-based company AWAAIT, has been in use in seven subway stations...

July 19, 2023 Fare Evasion, Public Transport, Safety & Security, Ticketing

MTR’s Response to Fare Evasion: Increased Penalties and Inspections
Over 600 Cases Identified in a Week, Including Misuse of the Government's Discount

Midjourney image promped by AWAAIT

In Hong Kong, A citywide campaign against fare evasion has been started by the MTR Corporation in coordination with the Transport Department. Between June 25 and July 3, they reported 671 occurrences of ticket evasion, 89 of which involved the abuse of the government’s $2 travel discount program. To reduce fare evasion, the MTR...

July 13, 2023 AI Video Analytics, Fare Evasion, Public Transport, Safety & Security, Ticketing

MTA’s New Approach to Fare Evasion: A Focus on Education, Equity, Environment, and Enforcement
The Four E's of MTA's Anti-Fare Evasion Strategy Unveiled in the Blue-Ribbon Panel's Inaugural Report

MTA's Anti-Fare Evasion Strategy NYC subway

Midjourney image promped by AWAAIT

The Metropolitan Transportation Authority (MTA) Blue-Ribbon Panel on Fare Evasion released its first report, outlining a number of proposed improvements, during a press conference on May 17th. The report was intended to address the growing issue of fare evasion. The report notably devotes four pages (55–64) to discussing four areas where the MTA intends...

July 7, 2023 AI Video Analytics, Fare Evasion, Public Transport, Safety & Security, Ticketing

MTA’s Pioneering Methodologies to Measure Fare Evasion
The synthesis of traditional surveys and state-of-the-art technology creates a robust blueprint for fare evasion measurement

Mearuring fare evasion in Public Transport

Midjourney image promped by AWAAIT

On May 17, the Blue-Ribbon Panel for Fare Evasion of the Metropolitan Transportation Authority (MTA) issued a report detailing the problem and outlining its two methods for measuring it. According to the most recent data, a concerning pattern has emerged: fare evasion rates increased significantly from pre-pandemic levels of 3 to 6% to 13.5%...

March 30, 2023 AI Video Analytics, Fare Evasion, Public Transport, Safety & Security

The Challenge of Measuring Fraud in Public Transport
Methods, Limitations and the Assistance of AI

The Challenge of Measuring Fraud in Public Transport, Transit, Fare Evasion, AI, video analytics

Midjourney image prompted by AWAAIT

Challenges in Measuring Fare Evasion Fraud in public transportation is a major issue that causes significant financial and operational challenges for public transport operators. However, accurately measuring the extent of fare evasion is a challenging task, as current methods of measuring fare evasion have significant limitations. The good news is that artificial intelligence (AI)...

July 30, 2020 Fare Evasion, Public Transport, Ticketing

Ticket inspections resume on Stockholm’s public transport
The controls must now take into account Covid-19 safety measures

After a two-and-a-half-month break during the coronavirus outbreak, Stockholm’s public transport operator SL is resuming ticket controls. As of mid-June, ticket inspectors are running regular controls on the subway. Since June 29, they are also checking tickets on buses and trams. For controls on buses, inspectors are checking tickets when travellers disembark. The inspectors...

June 23, 2020 AI Video Analytics, Fare Evasion

The role of AI Video Analytics for reducing fare evasion in public transport
Transport managers can draw more value from their video surveillance networks by employing intelligent Video Analytics using AI

Ticket inspector looks at a sequence of images showing fare evaders on Awaait's video analytics app (note: the scenes in the app are a simulation played by actors)

A ticket inspector checks a fare infraction alert on the real-time fare evasion detection app developed by Awaait (note: the scenes in the app are a simulation played by actors)

Making better use of existing video networks Overcoming the challenge of manually analysing video feeds from security cameras is one of the biggest tasks for companies that use video surveillance on their premises. Security agents have to spend many hours checking multiple computer screens, and oftentimes there are not sufficient agents to review all...