Opal Trips - Light Rail
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This dataset contains Official Light Rail Utilisation figures. Opal tap-on/tap-off data (representing an individual entering and exiting a Light Rail station), is aggregated to a total monthly figure representing the estimated number of trips. Starting July 1, 2024, the methodology for calculating trip numbers for individual lines and operators will change to more accurately reflect the services our passengers use within the transport network. This new approach will apply to trains, metros, light rail, and ferries, and will soon be extended to buses. Aggregations between line, agency, and mode levels will no longer be valid, as a passenger may use multiple lines on a single trip. Trip numbers at the line, operator, or mode level should be used as reported, without further combinations. The dataset includes reports based on both the new and old methodologies, with a transition to the new method taking place over the coming months. As a result of this change, caution should be exercised when analysing longer trends that utilise both datasets. More information on NRT ROAM can be accessed here Caution School Student travel using concessional Opal cards is included. However this may be underrepresented, due to inconsistent tap-on/tap-off behaviour by students at light rail stations Magnetic Stripe Ticketing (MST – paper tickets) data was also available in July 2016. MST patronage data for July is available here Opal data may be subject to minor revision for the two months following upload Data is static at a point in time, and may not match other reports that are real time All non-Opal travel is excluded, for example transport concession entitlement cards, integrated ticketing for major events, and fare non-compliance An Opal Trip is defined as a tap-on/tap-off pair (including where only a single tap-on or tap-off is recorded) A significant portion of the Light Rail line was closed during the months of January 2017 and 2018, resulting in lower number of trips in both months Please note: the data includes Newcastle Light Rail
Opal Tap On and Tap Off
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This dataset provides counts of tap ons and tap offs made on the Opal ticketing system during two non-consecutive weeks in 2016. The Opal tap on and tap off dataset contains six CSV files covering two weeks (14 days) of Opal data across the four public transport modes. Privacy is the utmost priority for all Transport for NSW Open Data and there is no information that can identify any individual in the Open Opal Tap On and Tap Off data. This means that any data that is, or can be, linked to an individual’s Opal card has been removed. This dataset is subject to specific terms and conditions There are three CSV files per week, and these provide a privacy-protected count of taps against: Time – binned to 15 minutes by tap (tap on or tap off), by date and by mode Location– by tap (tap on or tap off), by date and by mode Time with location – binned to 15 minutes, by tap (tap on or tap off), by date and by mode The tap on and tap off counts are not linked and individual trips cannot be derived using the data. The two weeks of Opal data are: 25 July to 31 July 2016 (before paper ticket retirement – paper ticket data is not included in the dataset) 8 August to 14 August 2016 (after paper ticket retirement).
In Sydney, the Blue Mountains, Central Coast, the Hunter and the Illawarra area, fares are calculated based on the distance travelled from tap on to tap off, payment method, the mode of transport, concession eligibility (or free travel) and any Opal benefits such as discounts and capped fares that apply. This dataset provides the Opal Distance for all modes of transport and the Opal Fare Values for each mode of transport. The Opal Fares Business Rules and Information document provides the latest supporting information. For additional information about Opal Fares, Default fares and how Opal Fares are calculated, visit the Transport Fares and Payments website.
국토교통부 노선별 경유 정류장별 이용량
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노선별 경유 정류장별 일간 이용량 정보는 특정 노선과 정류장을 기준으로 승객 이용 데이터를 일 단위로 집계하여 교통 운영 최적화 및 정책 개선에 활용되는 핵심 자료입니다. 이 데이터를 통해 노선별 수요에 따른 배차 간격 조정, 정류장 시설 개선, 혼잡 시간대 관리가 가능하며, 교통카드 데이터를 기반으로 시계열 분석, 공간 분석, 인구통계 분석, 비용 정산 및 수요 예측 등 다양한 정밀 분석이 수행됩니다. 이를 통해 정책 근거 마련, 서비스 품질 향상, 대중교통 접근성 제고 및 예산의 효율적 운용에 기여할 수 있습니다.