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\nPassenger transport organisations are harnessing a range of technologies to track mobility patterns and tailor networks to meet demand in the most efficient way. However, not everyone is satisfied that the job is being done as well as it could be, and there is interest in accessing new technologies to enhance the quality of decision-making.<\/p>\n
These are the findings of a survey of 49 passenger transport professionals undertaken by Passenger Transport and data specialists CitySwift. Many well-known industry faces responded to The State of UK Public Transport survey, which included a series of questions on technology.<\/p>\n
Respondents were hungry for technological solutions to boost the performance of public transport networks. One cited the need to improve revenue optimisation versus cost over a whole network. Others spoke of the need to deliver \u201cmore realistic schedules,\u201d \u201coptimise service reliability,\u201d \u201creduce lost mileage,\u201d and harness \u201cAI for predictive schedules using past data to project forwards.\u201d<\/p>\n
[It\u2019s] absolutely vital to use data to better match capacity and demand<\/p>\n
Jeremy Meal, an independent transport consultant, said it was \u201cabsolutely vital to use data to better match capacity and demand\u201d.
\nTicketing and Automatic Vehicle Location (AVL) are popular forms of network data in planning. More than half of the respondents use these sources of data when planning their networks. Almost a fifth use TransXChange, the UK nationwide standard for exchanging bus schedules and related data.<\/p>\n
There are wide variations in terms of how frequently network data is reviewed \u2013 with equally sized groups doing it daily, weekly and monthly. Half-yearly is the most common timeframe for implementing changes to networks.<\/p>\n
There is interest in more dynamic scheduling. A third of respondents (33.3%) believe that the network they are responsible for would benefit from offering a more dynamic service.<\/p>\n
Most are confident that their organisation understands current mobility patterns \u2013 but there\u2019s room for improvement. Confidence is much lower when it comes to balancing supply and demand on public transport networks. Only 5.9% awarded their organisation full marks for accurately and efficiently balancing supply with demand. The overwhelming majority (72.5%) rated their organisation three or less out of five on this measure.<\/p>\n
\u00a0<\/p>\n
\u00a0 Ticketing (60.8%) How often do you review this data, on average?<\/strong><\/p>\n Daily (19.6%) How often do you make changes to the network, on average?<\/strong><\/p>\n Daily (2.0%) On a scale of 1-5, do you think the network you\u2019re responsible for would benefit from offering a more dynamic service? For example, specific day of week schedules.<\/strong><\/p>\n 1 (27.5%) On a scale of 1-5, how confident are you that your organisation understands current passenger mobility patterns within the network you\u2019re responsible for?<\/strong><\/p>\n 1 (3.9%) On a scale of 1-5, how confident are you that the network you\u2019re responsible for is accurately and efficiently balancing supply with demand?<\/strong><\/p>\n 1 (11.8%) \u00a0 DON\u2019T MISS OUT \u2013 GET YOUR COPY! \u2013\u00a0click here to subscribe!<\/a><\/strong><\/p>\n The post Sector seeks new data tools<\/a> first appeared on Passenger Transport<\/a>.<\/p>\n \u200b\u00a0<\/p>","protected":false},"excerpt":{"rendered":" Technology is already shaping public transport networks \u2013 and there\u2019s an appetite for more \u00a0 Passenger transport organisations are harnessing a range of technologies to track mobility patterns and tailor networks to meet demand in the most efficient way. However, not everyone is satisfied that the job is being done as well as it could be, and there is interest…<\/p>\n","protected":false},"author":0,"featured_media":1439,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[60],"tags":[],"class_list":["post-8084","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-camcab"],"_links":{"self":[{"href":"https:\/\/camcab.co.uk\/wp-json\/wp\/v2\/posts\/8084"}],"collection":[{"href":"https:\/\/camcab.co.uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/camcab.co.uk\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/camcab.co.uk\/wp-json\/wp\/v2\/comments?post=8084"}],"version-history":[{"count":0,"href":"https:\/\/camcab.co.uk\/wp-json\/wp\/v2\/posts\/8084\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/camcab.co.uk\/wp-json\/wp\/v2\/media\/1439"}],"wp:attachment":[{"href":"https:\/\/camcab.co.uk\/wp-json\/wp\/v2\/media?parent=8084"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/camcab.co.uk\/wp-json\/wp\/v2\/categories?post=8084"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/camcab.co.uk\/wp-json\/wp\/v2\/tags?post=8084"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nWhat network data, if any, do you use in planning?<\/strong><\/p>\n
\nAVL (51.0%)
\nTxC (19.6%)<\/p>\n
\nWeekly (21.6%)
\nMonthly (21.6%)
\nHalf-yearly (2%)
\nOther or N\/A (35.2%)<\/p>\n
\nWeekly (5.9%)
\nMonthly (9.8%)
\nThree-monthly (2.0%)
\nHalf-yearly (33.3%)
\nYearly (3.9%)
\nOther or N\/A (43.1%)<\/p>\n
\n2 (15.7%)
\n3 (23.5%)
\n4 (17.6%)
\n5 (15.7%)<\/p>\n
\n2 (7.8%)
\n3 (33.3%)
\n4 (37.3%)
\n5 (17.6%)<\/p>\n
\n2 (17.6%)
\n3 (43.1%)
\n4 (21.6%)
\n5 (5.9%)<\/p>\n
\nThis article appears inside the latest issue of\u00a0Passenger Transport<\/em>.<\/strong><\/p>\n