TCCS Data Capability - ACT HTS - 04 Travel Distances (2022)
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This spreadsheet replicates selected data tables from the ACT & Queanbeyan Household Travel Survey data dashboard. Please refer to the attached spreadsheet on this page. About the Travel Distances theme 'Distance of travel' shows the overall trip length distribution. This provides a quick reference of the ranges that trips tend to fall in. For example, most travel in the ACT is of a relatively short nature. Across all modes, 16% of trips are under 1km in length and just over half (51%) are under 5km in length. An area analysis is not possible for this theme as the sample size is limited for each distance range, particularly once the mode filters are applied. Note that the tables provided represent a small subset of data available. Only the number and proportion of trips are shown. Use of the dashboard or raw survey datasets allow more complex descriptions of travel to be developed. Source data The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns. In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. Trip time periods are assigned using the mid point of travel: - AM peak (8am to 9am), PM peak (5pm to 6pm), Interpeak (9am to 5pm), Off-peak (after 6pm) The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage] Cell annotations and notes Some cells have annotations added to them, as follows: ~ : Unreliable estimate (small sample or wide confidence interval) Additional information Analysis by Sift Research, March 2025. Contact research@sift.group for further information. Enclosed data tables shared under a 'CC BY' Creative Commons licence. This enables users to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. [>More information about CC BY]
TCCS Data Capability - ACT HTS - 01 Method of Travel (2022)
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This spreadsheet replicates selected data tables from the ACT & Queanbeyan Household Travel Survey dashboard. Please refer to the attached spreadsheet on this page. About the Method of Travel theme The theme provides an estimate of the number of activities visited on an average weekday by the residents of ACT and Queanbeyan, and the associated methods of travel used. This theme uses trips to describe main method of travel between activities. If multiple modes are used, the one associated with the longest distance leg is selected as the 'main method'. As an example, typical bus travel to a destination would include at least three individual legs: - the distance required to get to the bus stop (before getting in the bus) - the distance travelled on the bus itself - the distance travelling to the final destination (after getting off the bus). These legs are merged together as a single 'bus trip'. Note that the tables provided represent a small subset of data available. Only the number and proportion of trips are shown, by time period and household region. Use of the dashboard or raw survey datasets allow more complex descriptions of travel to be developed. Source of Data: The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns. In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. Trip time periods are assigned using the mid point of travel: - AM peak (8am to 9am), PM peak (5pm to 6pm), Interpeak (9am to 5pm), Off-peak (after 6pm) The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage] Cell annotations and notes Some cells have annotations added to them, as follows: * : Statistically significant difference across survey years (at the 95% confidence level). Confidence intervals indicate where the true measure would typically fall if the survey were repeated multiple times (i.e., 95 times out of 100), recognising that each survey iteration may produce slightly different outcomes. ~ : Unreliable estimate (small sample or wide confidence interval) Additional information Analysis by Sift Research, March 2025. Contact research@sift.group for further information. Enclosed data tables shared under a 'CC BY' Creative Commons licence. This enables users to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. [>More information about CC BY]
TCCS Data Capability - ACT HTS - 06 Demographics of Travel (2022)
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This spreadsheet replicates selected data tables from the ACT & Queanbeyan Household Travel Survey dashboard. Please refer to the attached spreadsheet on this page. About the Travel Demographics theme The data shown replicates the dashboard 'Method of travel' theme, with additional filters applied for demographic attributes. This includes people's gender, age, licence holding status and household income level. Notes: - The small sample size (approximately 1 per cent) of people who either did not report their gender, or who did not identify as male or female, prevented their analysis as a distinct cohort group. Responses from these participants have been randomly allocated to the male and female groups. Household income quartiles are derived by a summation of individual income ranges. As no adjustment has been made for household size, single person households are over-represented in the lowest income quartile. The quartile ranges have been calculated separately for each survey year. An employment status of 'Not in workforce' is only applied to children. Retired people will be classed as 'Not employed'. Note that the tables provided represent a small subset of data available. Only the number and proportion of trips are shown; use of the dashboard or raw survey datasets allow more complex descriptions of travel to be developed. Source data The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns. In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. Trip time periods are assigned using the mid point of travel: - AM peak (8am to 9am), PM peak (5pm to 6pm), Interpeak (9am to 5pm), Off-peak (after 6pm) The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage] Cell annotations and notes Some cells have annotations added to them, as follows: * : Statistically significant difference across survey years (at the 95% confidence level). Confidence intervals indicate where the true measure would typically fall if the survey were repeated multiple times (i.e., 95 times out of 100), recognising that each survey iteration may produce slightly different outcomes. ~ : Unreliable estimate (small sample or wide confidence interval) Additional information Analysis by Sift Research, March 2025. Contact research@sift.group for further information. Enclosed data tables shared under a 'CC BY' Creative Commons licence. This enables users to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. [>More information about CC BY]
TCCS Data Capability - ACT HTS - 02 Purpose of Travel (2022)
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This spreadsheet replicates selected data tables from the ACT & Queanbeyan Household Travel Survey dashboard. Please refer to the attached spreadsheet on this page. About the Purpose of Travel theme The theme provides an estimate of the number and type of activities visited on an average weekday by the residents of the ACT and Queanbeyan. IMPORTANT: Travel activity is typically analysed using 'Primary Purpose' as the default measure. A 'primary purpose' of travel is reported for each place visited on a participant's survey day. By exception, just for travel returning home, the primary purpose of the trip is generated using the previous activity visited. For example, consider someone who has just two trips on their travel day: driving to work, and later driving home. In this instance, both trips are coded as 'work related'. Conceptually, the work activity generated two trips: from home, and back again. Without the work activity, no travel would have been recorded for that participant. The primary purpose adjustment applied to home trips provides additional information on why people are travelling. However, the exact purpose of travel can still be viewed on the 'Detailed Purpose' tabs. Under the 'detailed purpose' definition, trips that go home are not recategorised; they are stored directly as 'Go home'. Using the earlier example, someone driving to work and then driving home will be recorded as having one 'work trip' and one 'home trip'. While this literal interpretation of travel can be useful, some of the broader context of why people are moving around the network is lost. This is most apparent in the PM peak, where almost 60 per cent of travel is assigned to trips 'going home' without a clear view of where they were actually travelling from. The selection of the purpose definition - primary or detailed - will ultimately depend on the questions being asked of the data. Primary Purpose allows analysts to understand the reasons that different cohorts travel. Detailed Purpose is a more straightforward description of travel that does not require further explanation. Source data The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns. In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. Trip time periods are assigned using the mid point of travel: - AM peak (8am to 9am), PM peak (5pm to 6pm), Interpeak (9am to 5pm), Off-peak (after 6pm) The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage] Cell annotations and notes Some cells have annotations added to them, as follows: * : Statistically significant difference across survey years (at the 95% confidence level). Confidence intervals indicate where the true measure would typically fall if the survey were repeated mult
TCCS Data Capability - ACT HTS - 08 Journeys to Work (2022)
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This spreadsheet replicates selected data tables from the ACT & Queanbeyan Household Travel Survey dashboard. Please refer to the attached spreadsheet on this page. About the Work Journeys theme Work journeys focus on the specific travel between home and work (in either direction). While not identical to the Census 'journey to work' question, the packaging of the survey data in this theme is conceptually similar. 'Journeys' simplify analysis by fixing the start and end point of travel, and may contain other stops along the way. For example, travel from home, stopping at a gym and a shop before ending at work will be captured as a single 'journey to work'. This is different to the analysis of trips in other themes, which identifies each individual activity location. All journeys TO work will start from home and finish at a person's main workplace for the purpose of work. All journeys FROM work will start at a person's main workplace for the purpose of work, and end up back at home. Journeys may be multi-modal. The mode used for the longest leg of travel (by distance) is reported as the method of travel. Journey time and distance includes all legs of travel, including any travel to and from a public transport stop. Work journeys are only constructed to people's regular place of work. Travel to other locations for the purpose of work (e.g., meetings, conferences, site visits, shopping, etc.) will not be included in this theme. Journeys 'from' work typically mirror journeys 'to' work. However, small differences are still observed. Data tabs show both directions of travel for the ACT and entire study area regions. Due to the smaller sample size at a sub-regional level, the journeys to and from work are combined for the local government area summaries. Note that the tables provided represent a small subset of data available. Only the number and proportion of journeys are shown, by household region. Use of the dashboard or raw survey datasets allow more complex descriptions of travel to be developed. Source data The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns. In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. Trip time periods are assigned using the mid point of travel: - AM peak (8am to 9am), PM peak (5pm to 6pm), Interpeak (9am to 5pm), Off-peak (after 6pm) The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage] Cell annotations and notes Some cells have annotations added to them, as follows: * : Statistically significant difference across survey years (at the 95% confidence level). Confidence intervals indicate where the true measure would typically fall if the survey were repeated multiple times (i.e., 95 times out of 100), recognising that each survey iteration may pr
TCCS Data Capability - ACT HTS - 07 Local Travel (2022)
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This spreadsheet replicates selected data tables from the ACT & Queanbeyan Household Travel Survey dashboard. Please refer to the attached spreadsheet on this page. About the Local Travel theme The local travel theme examines just the trips which are made in a survey participant's local area. This measure can reveal whether local activity centres are appropriate, desirable and accessible, or whether people are having to travel to other regions to meet their travel needs. While it adds a different perspective to the overall travel picture, it is best used as a simple descriptive measure only. For example, a low proportion of shopping trips in an area may indeed be linked to inadequate retail activities. Alternatively, it may be a secondary outcome of other behaviour (e.g., people shopping near their main workplace). Notes: - travel 'back home' is excluded in this estimate of local trips. Travel back home is, by definition, local. Instead, the focus is on activities made across the day as these are the trips where locations or choices could potentially change. the tables provided represent a small subset of data available. Only the number and proportion of trips are shown, by time period and household region. Use of the dashboard or raw survey datasets allow more complex descriptions of travel to be developed. Source data The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns. In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage] Cell annotations and notes Some cells have annotations added to them, as follows: * : Statistically significant difference across survey years (at the 95% confidence level). Confidence intervals indicate where the true measure would typically fall if the survey were repeated multiple times (i.e., 95 times out of 100), recognising that each survey iteration may produce slightly different outcomes. ~ : Unreliable estimate (small sample or wide confidence interval) Additional information Analysis by Sift Research, March 2025. Contact research@sift.group for further information. Enclosed data tables shared under a 'CC BY' Creative Commons licence. This enables users to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. [>More information about CC BY]
TCCS Data Capability - ACT HTS - 05 Locations of Travel (2022)
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This spreadsheet replicates selected data tables from the ACT & Queanbeyan Household Travel Survey dashboard. Please refer to the attached spreadsheet on this page. About the Origins and Destinations of Travel theme This theme studies the origins and destinations of trips (regardless of where people live). Trips back home are not always included in origin-destination tables and local area catchment analyses. This is to highlight the places that people travel to for specific activities (rather than just 'returning home' - a fixed destination with no choice). Data with and without the home trips included are provided in two separate tabs. Geographical notes: - In this theme, areas not directly surveyed are still shown. This reflects a change in emphasis compared to other dashboard tables, from where people live to where people travel. For example, while no households from Canberra East were sampled as part of the survey, travel to and from this area was still made by other participants. - Travel to and from 'outside the study area' is shown as a potential location. Again, this only relates to survey participants and not the travel of external visitors to the study area. - Plane travel into or out of the study area is excluded. From a household travel perspective, plane travel accounts for under half a percentage point of all daily trips. Source data The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns. In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. Trip time periods are assigned using the mid point of travel: - AM peak (8am to 9am), PM peak (5pm to 6pm), Interpeak (9am to 5pm), Off-peak (after 6pm) Cell annotations and notes Some cells have annotations added to them, as follows: * : Statistically significant difference across survey years (at the 95% confidence level). Confidence intervals indicate where the true measure would typically fall if the survey were repeated multiple times (i.e., 95 times out of 100), recognising that each survey iteration may produce slightly different outcomes. ~ : Unreliable estimate (small sample or wide confidence interval) The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage] Additional information Analysis by Sift Research, March 2025. Contact research@sift.group for further information. Enclosed data tables shared under a 'CC BY' Creative Commons licence. This enables users to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. [>More information about CC BY]
TCCS Data Capability - ACT HTS - 12 Work From Home (2022)
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This spreadsheet replicates selected data tables from the ACT & Queanbeyan Household Travel Survey dashboard. Please refer to the attached spreadsheet on this page. About the Work from Home theme For the 2022 survey, anyone with a work activity was also asked if they had the opportunity to work from home. Survey participants provided information on which days they worked from home in the previous week. No further clarification was made about the amount of time that they work from home. Outcomes are summarised on the "WFH days" tab. In addition, on the travel diary itself, people were asked whether they worked from home for at least two hours on their travel day. This is summarised in the "WFH behaviour" tab, and is a slightly different question to the one asked above. For completeness, both are shown. The overall potential to work from home (regardless of whether someone actually did work from home) is also reported here. Note that the tables provided represent a small subset of data available. Use of the dashboard or raw survey datasets allow more complex descriptions of travel to be developed. Source data The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns. In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage] Cell annotations and notes Some cells have annotations added to them, as follows: * : Statistically significant difference across survey years (at the 95% confidence level). Confidence intervals indicate where the true measure would typically fall if the survey were repeated multiple times (i.e., 95 times out of 100), recognising that each survey iteration may produce slightly different outcomes. ~ : Unreliable estimate (small sample or wide confidence interval) Additional information Analysis by Sift Research, March 2025. Contact research@sift.group for further information. Enclosed data tables shared under a 'CC BY' Creative Commons licence. This enables users to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. [>More information about CC BY]
TCCS Data Capability - ACT HTS - 09 Journeys to Education (2022)
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This spreadsheet replicates selected data tables from the ACT & Queanbeyan Household Travel Survey dashboard. Please refer to the attached spreadsheet on this page. About the Education Journeys theme Education journeys focus on the specific travel between home and study. This may be in either direction. 'Journeys' make analysis simpler by fixing the start and end point of travel, and may contain other stops along the way. For example, travel from home, stopping at a gym and a shop before ending at university will be captured as a single journey to education. This is different to the analysis of trips in other themes, which identify each activity location individually across the day. All journeys TO education will start from home and finish at a place of education for the purpose of studying. All journeys FROM education will start at a place of education, for the purpose of studying, and end up back at home. Journeys may be multi-modal. The mode used for the longest leg of travel (by distance) is reported as the method of travel. Journey time and distance includes all legs of travel, including any travel to and from a public transport stop. Notes: * Education journeys are only constructed for people with a regular studying activity. Someone who does not study, but travels to an educational activity (e.g., training, conference or short course) will not be included in this theme. * Education journeys are only constructed to regular educational facilities. Travel to other places for education (e.g., a school camp) are excluded from this theme. * Journeys over 100km in length are removed. These typically relate to camp or excursion travel. Note that the tables provided represent a small subset of data available. Only the number and proportion of journeys are shown, by household region. Use of the dashboard or raw survey datasets allow more complex descriptions of travel to be developed. Source data The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns. In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage] Cell annotations and notes Some cells have annotations added to them, as follows: * : Statistically significant difference across survey years (at the 95% confidence level). Confidence intervals indicate where the true measure would typically fall if the survey were repeated multiple times (i.e., 95 times out of 100), recognising that each survey iteration may produce slightly different outcomes. ~ : Unreliable estimate (small sample or wide confidence interval) Additional information Analysis by Sift Research, March 2025. Contact research@sift.group for further information.
TCCS Data Capability - ACT HTS - 11 Public Transport (2022)
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This spreadsheet replicates selected data tables from theACT & Queanbeyan Household Travel Survey dashboard. Please refer to the attached spreadsheet on this page. About the Public Transport theme In this theme, a focus is placed on public transport - the trips made by bus or light rail. - School bus travel is included in the 'bus' category - Light rail was not available as a mode in 2017, with services only commencing in 2019. The data summarised is of public transport trips, rather than boardings. If someone caught two buses, or both a bus and light rail on the same trip, only a single public transport trip is recorded. Furthermore, if someone used public transport and another mode (for example, other trip legs made by driving, walking or cycling), the trip will only be recorded as public transport if this was also the longest distance leg. Note that the tables provided represent a small subset of data available. Use of the dashboard or raw survey datasets allow more complex descriptions of travel to be developed. Source data The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns. In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. The small sample size (approximately 1 per cent) of people who either did not report their gender, or who did not identify as male or female, prevented their analysis as a distinct cohort group. Responses from these participants have been randomly allocated to the male and female groups. Household income quartiles are derived by a summation of individual income ranges. As no adjustment has been made for household size, single person households are over-represented in the lowest income quartile. An employment status of 'Not in workforce' is only applied to children. Retired people will be classed as 'Not employed'. The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage] Cell annotations and notes Some cells have annotations added to them, as follows: * : Statistically significant difference across survey years (at the 95% confidence level). Confidence intervals indicate where the true measure would typically fall if the survey were repeated multiple times (i.e., 95 times out of 100), recognising that each survey iteration may produce slightly different outcomes. ~ : Unreliable estimate (small sample or wide confidence interval) 'o' is an indicative survey estimate only - reliability statistics have not been calculated for the variables shown Additional information Analysis by Sift Research, March 2025. Contact research@sift.group for further information. Enclosed data tables shared under a 'CC BY' Creative Commons licence. This enables users to distribute, remix, adapt, and build upon the material in any me