Beta Tool: This tool is still in development and may contain preliminary analysis, bugs, or incomplete features. Beta tools are intended to provide an early look at upcoming features and so results should be treated with care. The tool may change at any time without warning. We are interested in your feedback and you can report issues or bugs on GitHub.
The Transport and Accessibility Explorer provides more detail on transport realted topics. For a full explanation of the tool please see the manual. You can also access sections of the manual via the help buttons ().
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Zone Summary: XXXXX
The 2022 Census in Scotland significantly changed Data Zone boundaries, historic data has been adjusted to the new boundaries
This LSOA had a complex border change between 2011 and 2021, historical data uses closest matching LSOA
This LSOA was formed in 2021 by merging two LSOAs, historical data has been merged
This LSOA was formed in 2021 by splitting two LSOAs, historical data has been split
At some point this LSOA has had zero residents
In some years this LSOA has an unusually large number of company cars
Private vehicles by body type and licence
This chart shows the number of private vehicles in the LSOA by body type and licence status. Licenced vehicles can be legally driven on public roads, while those with a Statutory Off Road Notification (SORN) are not registered for road use. Three types of vehicles are shown: cars, motorbikes, and other vehicles (mostly vans).
Private vehicles fuel type and licence
This chart shows the number of private vehicles in the LSOA by fuel type and licence status. It highlights the uptake of Battery Electric Vehicles (BEVs) which have zero tailpipe emissions, but still contribute to overall vehicle emissions through electricity generation, and their manufacture. Ultra Low Emission Vehicles (ULEVs) are defined as vehicles that produce less than 75g/km of CO2 emissions at the tailpipe. However for some types of vehicles, such as plug-in hybrids, the definition assumes usage patters that may not reflect real world usage.
Private vehicles ownership rate
This chart shows three measures of the ownership rate of private vehicles, per person, per adult, and per household. Each measure tells a different story about how vehicle ownership interacts with the demographics and needs of the population.
Company vehicles by body type and licence
This chart shows the number of company vehicles in the LSOA by body type and licence status. Company vehicles are those registered to a business or organisation rather than an individual.
Company vehicles fuel type and licence
This chart shows the number of company vehicles in the LSOA by fuel type and licence status.
An Accessibility-Proximity analysis attempts to capture whether a neighbourhood is under or over-provided with services. One of the core principles of sustainable transport is that people's needs should be near where they live. Nearby services reduce travel distances and reduce energy consumption and emissions. They also make it more likely that people can use healthy and sustainable modes of travel like walking and cycling. Short travel distances also save people time and money.
Ideally, everything you need would be nearby, but that is not always practical. Especially as the number of services we need varies. For example, we have far more hairdressers than speech therapists because many people regularly go to the hairdressers, and very few people need a speech therapist. So, we look at the ratio between the number of people and the number of services. For example, if there are 1,500 people within a 15-minute walk of your home, that could support around two hairdressers. But if only one hairdresser were within that distance, we would consider your neighbourhood underserved.
We can do this calculation for all kinds of services and produce a score between -3 and +3, where 0 means your neighbourhood has services in about the same proportion as the national average. A positive score means you have more of that kind of service than average, and a negative score means you have less than average. The chart and table below summarise the scores for 385 types of service listed in the Ordnance Survey Points of Interest
The scale shows how to interpret the Access and Proximity scores
We look at different time and distance bands because some services are common (like hairdressers) while others are rare (like speech therapists). We measure travel time by walking and/or public transport for 15, 30, 45, and 60 minutes (Accessibility) and straight line distance (Proximity) for 0.75, 1.5, 2.25, and 3 miles. For example, you may have no plasterers within 0.75 miles of your home, but plenty of plasterers within 1.5 miles of your home, and that is probably fine. But if your nearest postbox were 1.5 miles away, you would probably consider that too far.
The chart and table below present the same information in two different formats. This will help you explore how service provision varies from place to place.
This data is not available for Scotland.
Accessibility & Proximity Summary Table
This chart shows the 30 minute / 1.5 mile data from the table below.
Accessibility & Proximity Summary Table
Public Transport Frequency
This comes from analysing historical public transport timetable data. The chart shows the frequency of the service (trips per hour) passing through or near the selected neighbourhood. Five different periods are shown: Morning peak (6-10 am),
Midday (10 am-3 pm), Afternoon peak (3-6pm), Evening (6-10 pm), Night (10 pm-6 am). The chart shows each year from 2004 - 2023, note that 2012 and 2013 are missing due to lack of data. You can select the type of public transport and day of the week from the drop-down menu.
Please note that this analysis is based on a collection of historical timetables. Some data is missing, and there are known limitations. For more information, see the manual.
