This is a (fictitious) demo file. If you would like to apply this to your own specific situation, go to mobilityanalyst.com.
Getting started with:
Set an acceptable cycling distance here and find out immediately for how many employees cycling may be an acceptable alternative for their commute. The input is in kilometres per one-way trip, calculated over actual cycling routes. For cycling distances up to 5 km, we assume the use of a normal (city) bicycle, for distances from 5 to 15 km, we assume the use of either an e-bike or a Speed Pedelec.
Any decisions made as a result of these measures are immediately incorporated into all the graphs, maps and other indicators on the right-hand side of the screen.'
Note: employees who already cycle to work in the current situation, as indicated by the employer, will never be turned into motorists or public transport commuters as a result of these measures. However, if the travel method has not been specified by the employer, employees who have been modelled as cyclists can switch into motorists or public transport commuters.
Here, you can make decisions regarding the organisation's planned public transport policy.
To assess whether public transport is an acceptable alternative to the car for an employee, the public transport travel time and the car travel time of each employee are compared. This comparison includes the total door-to-door commute times, based on current timetables, congestion, transfer time and parking time. This can be done in two ways: absolute (in additional minutes) or relative (in percentages). Many traffic experts use the relative approach with a 50% standard (also known as the VF value of 1.5), but in cases with relatively short travel times, an absolute difference of, for example, 20 minutes may sometimes be more appropriate.
An absolute lower limit of, for example, 30 minutes can be entered where public transport is regarded as an acceptable alternative in any case. This helps to avoid unwanted conclusions for shorter distances (if you compare a 20-minute public transport journey with a 10-minute car journey, it may be 100% longer, but perhaps both are acceptable).
In addition, choices can also be made regarding pre and post transport: will the employees walk to the bus stop or station, or will they cycle if this proves to be faster? The most common scenarios are walking-public transport-walking and cycling-public transport-walking, but cycling-public transport-cycling is also possible (e.g. when employees have public transport bicycles, e.g. the OV-fiets, or other shared bicycles at their disposal). If the bicycle is selected for pre-transport, the calculations assume that the employee has a bicycle at their disposal. Whether a bicycle is actually used depends on the relevant cycling, walking and parking times.
If no acceptable public transport connection is found in the specified way, an alternative can be found in the form of a car-public transport-walking chain with a nearby P&R. In this way, a car-public transport combination can still contribute to a reduction in CO2 emissions or the required number of parking spaces at the location. This alternative is only used if a suitable P&R location has been found and the total journey remains below the set limit.
Any decisions made as a result of these measures are immediately incorporated into all the graphs, maps and other indicators on the right-hand side of the screen.
Note: employees who already take public transport to work in the current situation, as indicated by the employer’s specifications, can be switched into cyclists as a result of measures, if this is more in line with the chosen policy, but not into motorists. If the travel method has not been specified by the employer, employees who have been modelled as public transport commuters can be switched into motorists.
To assess whether public transport is acceptable, the employee's public transport travel time is compared to the travel time by car. This can be done in two ways:
Choose the desired forms of pre and post transport:
One of the car measures is aimed at challenging the leasing policy. MobilityAnalyst normally assumes that lease drivers will always continue to use the car. If you prefer to forego this, choose this option in which lease-car drivers travel by bicycle and/or public transport if this suits the selected policy better.
Another measure concerns a direct reduction in emissions from lease cars, for example through measures such as
- Driving training and monitoring in line with 'new driving' (often accounting for 3% to 8% CO2 reduction)
- The correct tyre pressure (often accounting for 2% to 5% CO2 reduction)
- Making your fleet more sustainable, for example by only allowing electric or A-labelled cars (ask your fleet manager what a realistic savings percentage is for your fleet)
Any decisions made as a result of these measures are immediately incorporated into all the graphs, maps and other indicators on the right-hand side of the screen.
Not using the lease car
MobilityAnalyst assumes that lease drivers will always continue to use their car. If you prefer to forgo this, choose this option:
Reducing emissions
0 % 100 %Remote work policies can have a major impact on all your mobility figures, such as expenses and CO2 emissions, but also on parking and workspace facilities.
This measure allows you to specify the number of additional remote work days your employees receive per week (in addition to the values that may already have been specified in the input template) and to specify a lower limit for the number of days that the employee must be present at the office. You can choose to relate this measure only to long-distance travellers (for example, by entering 30 or 60 minutes as a lower limit) or to all employees (enter ‚0‘ for minimum travel time in that case).
A common interpretation of remote working is working from home, but regional flex offices can also offer an alternative to work locally without much travel time.
Any decisions made as a result of these measures are immediately incorporated into all the graphs, maps and other indicators on the right-hand side of the screen.
Work-from-home policies may apply to all employees or only to employees with a certain minimum travel time.
Employees who travel more than minutes (one-way trip), will have
additional work-from-home days. Provided they are present for a minimum of day(s) at the office.
Mode of transport
Routes
CO2
Facilities
Employees
Vitality
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This is a depiction of the current travel method, as specified by the employer in the template or as modelled (in case the current mode of transport was not known).
The middle circle shows the modes of transport distribution in main lines (cycling-car-public transport). The outer circle shows the same kind of information but broken down into sub modes of transport (such as a lease car or cycling-public transport-walking variant)
(Estimation) current mode of transport
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This indicator shows the average one-way travel distance per employee, before and after measures. This is an unweighted average for all employees, not standardised to FTE factor or work-from-home days.
Average one-way travel distance:
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This indicator shows the organisation’s annual variable travel expenses, based on the stated mileage allowances per mode of transport. It shows the level of expenses before and after measures. Fixed costs, such as leasing contracts, are not included. MobilityAnalyst only supports fixed costs per kilometre and does not (yet) support scales or limit values.
Annual variable travel expenses:
These are
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This indicator shows the annual variable travel expenses per FTE, based on the stated mileage allowances per mode of transport. It shows the level of costs before and after measures. Fixed costs, such as leasing contracts, are not included. MobilityAnalyst only supports fixed costs per kilometre and does not (yet) support scales or limit values.
Annual variable travel expenses per FTE:
These are
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This indicator shows the total annual distance travelled for commuting, taking into account the travel distances associated with the relevant travel method (i.e. cyclists calculated on cycling routes, etc.), before and after measures. This indicator is strongly influenced by the measures concerning the work-from-home policy. It is calculated with a (specified or default) value for the average number of working weeks per year.
Annual commute distance:
This is times around the globe
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This indicator shows the number of employees, FTEs and locations as specified. If your organization has supplied the data for several locations, you can zoom in on specific locations or groups of employees using the filter options at the bottom left.
FTE
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This indicator shows the number of employees present at the work location(s) on an average office day. This has not yet taken into account disproportionate week schedules.
Average presence at work location
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The number of people who may travel less and in a different way as a result of the selected measures.
This count has been deduplicated: after all, employees may fall within the scope of certain cycling policies as a result of chosen work-from-home policies, for example. These employees are only counted once.
If you would like to know exactly which employees would travel less or in a different way due to a certain measure, select only that measure and view the employee cards or make an Excel export (via the button in the lower-left corner of the screen). You can reduce this to levels of postal codes or (pseudonymised) employee numbers.
Potential 'travel less and differently':
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This indicator shows the number of employees working at home or at a flex office near home on an average office day. A disproportionate week schedule has not been taken into account. The tool does not take into account work at a customer location.
Remote work potential
employees work typically days remote. -
This indicator shows the number of employees who work remotely having a flex office nearby. Working at a flex office can be a good alternative. It combines the benefits of working from home (hardly any travel time) with those of working in the normal workplace (work-life balance, facilities, occupational health and safety workplace, etc). It shows the number of employees with a flex office of one of the major national suppliers less than 5 km away and could use it in accordance with measures, including a breakdown into the flex operator chains that are most relevant to the employer in terms of location. .
Flex office potential
of the remote workers have a flex office nearby. They have the following operators nearby: -
This indicator shows the part of the working time in accordance with measures is worked at the fixed work location or remote. The remote work potential is split into employees who do and do not have a flex office nearby as an alternative.
Occupancy per week:
-
This indicator shows the annual movement time by means of cycling. This includes only kilometres cycled from door to door and not (yet) the kilometres cycled to get to the station.
Annual movement time by cycling:
-
This indicator shows the percentage of employees cycling to work, before and after measures.
Cycling to work
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This is a depiction of the potential travel method, according to the selected measures.
The middle circle shows the modes of transport distribution in main lines (cycling-car-public transport). The outer circle shows the same kind of information but broken down into sub modes of transport (such as a lease car or cycling-public transport-walking variant).
See the website of MobilityLabel for technical details on determining the mode of transport when modelling it and when calculating the effect of multiple measures.
Potential mode of transport (based on measures)
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In addition to travel time, the number of transfers is an important indicator of the quality of a public transport connection. This indicator shows the average number of transfers for the fastest public transport connection for all employees who travel in accordance with the public transport policy in effect.
This includes all transfers between public transport connections (i.e. train-train or train-bus) and not car-train or, for example, train-bicycle.
Public transport quality
average transfers -
This indicator shows the number of (one-way) trips that can be saved by the specified measures.
Car trips to the station (P&R) count as public transport commute and thus result in saving in the number of (door-to-door) trips in this indicator.
Car reduction potential
trips per day -
Carpooling can offer a solution for groups of employees for whom cycling and public transport are less suitable means of commuting. If these drivers share a ride with each other, this can help reduce expenses, CO2 emissions and travel time.
The carpool potential indicates how many drivers there are who have a fellow motorist living less than 3 kilometres away. The same work location has been taken into account. Employees who travel by bicycle or public transport are not included in the carpool potential, but lease drivers are.
If your organisation still has a lot of motorists and a high carpool potential following cycling and public transport measures, then it might be worthwhile to focus on this group of employees (see map and export) in order to discover which employees are open to this.Carpool potential
motorists -
This indicator shows the number of lease cars, according to the specifications and the potential. This is mainly influenced by the car measure ‚leaving a lease car unused‘. Without this measure, MobilityAnalyst assumes that lease drivers will always continue to use their car. If you want to forgo this, select the option that lease drivers also travel by bicycle and/or public transport if this is more in line with the policy.
Lease cars:
-
This indicator shows the number of parking spaces required on an average working day for the company's own employees. This does not take into account a disproportionate week schedule or parking spaces for visitors or, for example, carpool cars.
Required parking spaces
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This indicator shows the potential annual savings, given the annual cost provided per parking space.
The average cost of a parking space for the employer varies greatly and depends on the location (inner-city or suburbian) and nature (garage or grounds). It is estimated that the average cost is € 700 per year.
Whether these savings can actually be achieved and in what time frame depends on several factors: is parking private or shared, and can parking places be easily divested?
Savings through fewer parking spaces
If a parking space costs an average of € , the annual savings are:
-
Although each situation is different and the number of charging stations depends, for example, on the number of electric lease and company cars and the number of employees and visitors you want to facilitate, there are some rules of thumb.
The indicator shown is based on the advice to offer one charging point per 10 parking spaces (note: Many charging stations contain 2 or more charging points). This standard corresponds to the EU decision as part of the Clean Energy for All Europeans package.
According to this measure at all new or converted commercial premises 1 charging point per 10 parking spaces should be installed.
Minimum required number of charging points
charging points. -
Premises
Organisations periodically reassess the location situation: will an expiring lease be extended again? Are the square metres still in line with current usage? But also: are we still satisfied with the accessibility of the building? What about car dependency? How many locations would be the most suitable? Taking a thorough look at mobility at a possible relocation moment allows for the opportunity to save, for example, in terms of costs, CO2 or talent retention.
Are there any stay-or-go decisions to be made within your organisation? Then consider activating the special relocation module from MobilityLabel (an additional fee applies). -
This indicator shows the total calories burned by the cycling employees each year while commuting. This only includes kilometres travelled from door to door and not (yet) the kilometres cycled to get to the station. Calculations are made with an average of 25 kcal per kilometre.
This indicator shows the BigMac equivalent of the kilocalories burned is also included. According to McDonald's, a BigMac contains 503 kcal or 2106 kJ. This is 25% of a daily reference intake.
Annual kcal burned by cycling:
BigMacs per year
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Research by TNO shows that employees who cycle to work call in sick less often on average. The average number of sick-leave days for cyclists is 7.4 compared to 8.7 for non-cyclists. Among cyclists, there is a larger group who never call in sick. The frequency of absenteeism among cyclists is also lower than that of non-cyclists. Would you like to read more? https://mobilitylabel.com/fietsfeiten-TNO.pdf#page=10
Impact on absenteeism due to increase cyclists
days per year -
This overview visualizes the individual changes per one-way trip and shows how many employees have their commuting time affected in what way, either for better or for worse, as a result of the specified measures.
Individual changes per one-way trip:
-
This indicator shows the total annual travel time of all employees before and after measures. The travel time calculations include the total times from door to door, which means:- Car travel times consist of the average of the travel time during morning rush hour and evening rush hour (including last year's average delays measured on Tuesday 8:30 a.m. and 5:30 p.m.) plus the time needed to park the car
- Public transport travel times consist of travel time according to current timetables, including transfer times and the time required to go from home to the public transport stop and from the public transport stop to the work address.
- Cycling travel times include the cycling time over the fastest door-to-door bike route plus the time needed to park the bike.
Annual travel time:
-
Index:
- Bicycle
- Bicycle, eBike
- Bicycle, Speed Pedelec
- Walking-public transport-walking
- Cycling-public transport-walking
- Cycling-public transport-cycling
- Car-public transport-walking (P&R)
- Car - private
- Car - lease
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This indicator shows the number of hours your employees lose in total annual travel time as a result of congestion, traffic jams and road works on the (main) road network. These lost vehicle hours are calculated by comparing the actual travel time with the travel time that the cars would need to travel undisturbed and without delay.
Travel time loss due to traffic jams:
per year
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This indicator shows the number of employees who, according to the employer's input, can travel at flexible hours and travel by car in accordance with the measures put in place.
By travelling outside rush hour, you'll experience a more comfortable commute and contribute less to traffic jams. More and more employees are choosing to start the working day at home and travel to the office after rush hour.
Travel outside rush hour (car)
of the motorists can travel at flexible hours -
This indicator shows the number of employees who, according to the employer's input, can travel at flexible hours and travel by public transport in accordance with the measures put in place.
By travelling outside rush hour, you'll experience a more comfortable commute and contribute less to peak crowds in public transport. More and more employees are choosing to start the working day at home and travel to the office after rush hour.
Travel outside rush hour (public transport)
of the Public transport commuters can travel at flexible hours -
This indicator shows the number of commuters who travel to the station by bicycle, using a monitored bicycle parking facility at a train station. The annual expenses are estimated based on individual payment per day.
Note: more and more bicycle parking facilities at stations are free for the first 24 hours, which means that these expenses are not taken into account either.
Use of parking facilities at stations:
train-cyclists. Cost indication: -
This indicator shows the number of commuters who can use a shared bicycle from the station to reach the destination. MobilityAnalyst supports various shared-bikes platforms, of which OV-fiets (public transport bicycle) is the largest.
The cost indication relates to annual expenses and is based on the daily/trip rates known to us.
Use of shared bicycles from the arrival station:
train-cyclists. -
For each station in the region, this table shows the number of commuters who can use a shared bicycle (such as an OV-fiets) from that station to reach the destination. MobilityAnalyst supports various shared-bike platforms, of which the OV-fiets is the largest.
The cost indication relates to annual expenses and is based on the daily/trip rates known to us.
Station names will only appear here if the specified public transport policy is based on cycling post transport.
Overview used shared-bike locations:
-
This indicator shows the number of bicycle parking spaces required on an average working day for the company’s own employees (including shared bicycles). This does not take into account a disproportionate week schedule or bicycle parking spaces for visitors. On the website of the Dutch Cyclists’ Union (Fietsersbond), you will find more information about optimal facilities for cyclists along with the 'bicycle-friendly company' checklist (including certification possibility).
Required bicycle parking places at work location
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This indicator shows the number of employees with a one-way travel time of 60 minutes and any changes to this as a result of the selected policy.
If you would like to know the number of employees with a different threshold value (e.g. the number of employees with a travel time of more than 90 minutes), please use the travel time analysis tool elsewhere on this tab.
A study by the RIVM (The Netherlands National Institute for Public Health and the Environment) shows that longer travel time is related to more stress, poorer sleep quality, poorer perceived health and more dissatisfaction with life.
Employees with more than 60 minutes of one-way travel time
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This indicator shows the average travel time of a one-way trip per FTE, before and after measures. The travel time is based on the mode of transport in accordance with the selected measures, taking into account any (extra) work-from-home days and weighted by the FTE factor so that an employee who is present at the office for more days weighs more heavily in the average than an employee with less presence.
Total times are calculated from door to door in the travel time calculations, which means :
- Car travel times consist of the average of the travel time during morning rush hour and evening rush hour (including last year's average delays measured on Tuesday 8:30 a.m. and 5:30 p.m.) plus the time needed to park the car
- Public transport travel times consist of travel time according to current timetables, including transfer times and the time required to go from home to the public transport stop and from the public transport stop to the work address .
- Cycling travel times include the cycling time over the fastest door-to-door bike route plus the time needed to park the bike.
Average travel time per one-way trip
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This indicator shows the average travel time per week for an employee, taking into account the number of days that the employee is at the office per week. The travel time per week can be reduced by stimulating working from home, for example.
Total times are calculated from door to door in the travel time calculations, which means:
- Car travel times consist of the average of the travel time during morning rush hour and evening rush hour (including last year's average delays measured on Tuesday 8:30 a.m. and 5:30 p.m.) plus the time needed to park the car
- Public transport travel times consist of travel time according to current timetables, including transfer times and the time required to go from home to the public transport stop and from the public transport stop to the work address.
- Cycling travel times include the cycling time over the fastest door-to-door bike route plus the time needed to park the bike.
Average travel time per week:
-
This indicator shows the number of bicycle parking spaces required on an average working day for the company’s own employees (including shared bicycles). This does not take into account a disproportionate week schedule or bicycle parking spaces for visitors.
Required bicycle parking places at work location:
-
This map shows the mode of transport per employee according to the selected measures. It is possible to show all or only certain (sub) modes of transport, e.g. all lease cars or cyclists. In the map, employees can be clicked on to view more details at the employee level, such as current mode of transport, travel options, travel times and individual sample journeys associated with that travel method. For large employee files, it can be useful to display the results in clusters (see the corresponding option on the map)..
Travel method per employee (based on measures) and individual sample travels
You are now opening a file containing a large number of employees. This can cause waiting times when opening the map view. MobilityAnalyst works faster without an active map view, or with a clustered view. It is, however, always possible to display detailed maps, but please take waiting times into account. The best performance is achieved with Chrome or Firefox. We do not recommend using MobilityAnalyst with older browsers like Internet Explorer.
Loading data...
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This indicator shows the annual variable travel expenses per mode of transport, based on the mileage allowances per mode of transport. It shows the level of expenses before and after measures. Fixed costs, such as for lease contracts, are not included. MobilityAnalyst only supports fixed costs per kilometre and does not (yet) support scales or limit values.
Annual variable travel costs per mode of transport:
-
This indicator shows the total annual commuting distance, broken down by mode of transport, before and after measures.
Annual commuting by mode of transport:
-
This indicator shows the total annual CO2 emissions associated with the organisation’s commuting, before and after the specified measures. CO2 emissions are based on the current national averages of CO2emissiefactoren.nl, and/or any vehicle emission values provided by the employer.
CO2 emissions:
These are
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This indicator illustrates the impact of CO2 emissions and shows the number of trees that have to grow for one year in order for CO2 emissions to be absorbed (after measures).
This is based on the fact that one growing tree can absorb 20 kilograms of CO2 per year. This means that for 1 tonne of CO2 emissions, 50 trees have to grow for a year, or a 2.3MW wind turbine has to run for 2.5 hours, for example.
For this,
trees have to grow for a year -
To combat climate change, it is best to travel less and cleaner to help prevent CO2 emissions. Emissions that are difficult or impossible to avoid can be made up for in another way, which is called compensating.
This indicator shows the total annual cost of compensating the remaining CO2 emissions after the measures. There are different cost levels for CO2 compensation, depending on the organisation, the standard and the type of project. Just like the Climate Neutral Group and GreenSeat, we use a calculated amount of 10 euros per tonne of CO2.
Cost of CO2 compensation:
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This graph shows the number of employees divided per 15 minutes of one-way travel time, i.e. the number of employees who, for example, have a travel time between 0 and 15 minutes before (grey) and after (blue) measures.
Overview of individual travel times of a one-way trip:
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This indicator shows the total annual CO2 emissions per transport mode in tonnes per year, before and after the specified measures. CO2 emissions are based on the current national averages of CO2emissionfactoren.nl, and/or any vehicle emission values provided by the employer.
CO2 emissions per mode of transport
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This indicator shows the average one-way journey distance per mode of transport, before and after measures. This is an unweighted average across all employees, not standardised to FTE factor or work-from-home days.
Average one-way distance per mode of transport:
-
Analyse how many employees have a shorter or longer one-way trip compared to custom threshold values. Find out, for example, how many people have a one-way trip of less than 15 kilometres or more than 100 kilometres. The commuting distances correspond to the modes of transport as determined by the specified measures.
Distance analysis
Number of employees below km and above km:
-
Analyse how many employees have a shorter or longer one-way trip compared to custom threshold values. Find out, for example, how many people have a one-way trip of less than 30 minutes or more than 60 minutes. The commuting distances correspond to the modes of transport as determined by the specified measures.
Travel time analysis
Number of employees with a one-way trip below minutes and above minutes:
-
This indicator shows the total annual CO2 emissions per FTE, before and after the specified measures. CO2 emissions are based on the current national averages of CO2emissionfactoren.nl, and/or any vehicle emission values provided by the employer.
CO2 emissions per FTE per week:
-
In some regions, MobilityAnalyst shows expected car use on specific road sections and use of public transport on specific connections, e.g. to gain insight into usage of certain bottlenecks in the road and public transport networks. Specific road segments and public transport connections have been defined in advance, often by the region, for both the morning rush hour and evening rush hour traffic. The number of commutes per section is shown before and after measures, in order to investigate the effectiveness of, for example, measures to avoid rush-hour and road works.
The routes to be investigated can usually only be changed by the regions involved.
You can find more information about route measurements in the knowledge centre.Route counts
In some regions, MobilityAnalyst shows expected car use on specific road sections and use of public transport on specific connections, e.g. to gain insight into usage of certain bottlenecks in the road and public transport networks. The number of commutes per section is shown before and after measures.
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Public transport commuters via:
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Motorists via (in the morning):
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This indicator shows the total weekly CO2 emissions per FTE, before and after the specified measures, divided into ascending classes of a mobility label (G to A). Just as an energy label is a measure of how economical or environmentally friendly an office building is, this Mobility Label is a measure of the environmental friendliness of an office location.
MobilityLabel applies the following standards when awarding mobility labels:
- A: less than 25 kg CO2/FTE/week
- B: 25-50 kg CO2/FTE/week
- C: 50-75 kg CO2/FTE/week
- D: 75-100 kg CO2/FTE/week
- E: 100-125 kg CO2/FTE/week
- F: 125-150 kg CO2/FTE/week
- G: more than 150 kg CO2/FTE/week
Mobility label:
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We often think we already know all the arguments in favour of cycling, but there are a lot more than you think. To separate fact from fiction, the most important cycling arguments are listed below. The underlying report contains the (scientific) substantiation of the arguments. The ten arguments are:
- Cycling increases your fitness
- Cycling helps maintain your weight
- Regular cycling makes you feel good
- Cycling reduces the risk of becoming ill and helps extend your life expectancy
- Cycling is easy
- More cycling means cleaner air in your own environment
- Cycling is quiet
- Cycling improves short-distance accessibility
- Cycling is low-cost
- More cycling means less greenhouse gas emissions
Effects of cycling on health
Cycling has many vitality benefits for the employee and employer:
- Cyclists live an average of 3 to 14 months longer
- Cycling increases fitness and helps maintain your weight
- Cycling reduces the risk of becoming ill and the number of sick-leave days
- Cycling is clean, quiet and economical
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The RIVM made an overview of the available knowledge about the differences in the state of health of people who commute by car or by train. Some noteworthy conclusions are:
- Commuters score lower on aspects of mental health than non-commuters.
- Commuters, especially those who travel by car, have poorer sleep and are more fatigued.
- Longer travel time is related to more stress, poorer sleep quality, poorer perceived health and more dissatisfaction with life.
- Motorists have a higher BMI on average (more overweight) and move less.
- Changing the mode of transport from car to train seems to have a positive effect on health.
- Public transport commuters are physically more active (especially due to walking and cycling pre and post transport) and have a lower BMI (less overweight) than motorists. This reduces the risk of diabetes, cancer and cardiovascular diseases.
- This physical activity is not 'compensated' by motorists at other times of the day, for example.
- People who travel by train are more satisfied with their health than motorists.
- People who travel by train seem to be more likely to have anxiety complaints.
- In general, public transport commuters experience less stress than car commuters. However, longer travel times and busy trains are related to increased stress levels.
- Commuters travelling by train have a slightly increased chance of coming into contact with pathogens. However, they also build up a moderate degree of resistance to infections.
Effects of trains and cars on health
In commuting, cars and public transport have different health characteristics. Many of these characteristics are more positive for public transport commuters, particularly due to being active pre and post transport (walking and cycling). For instance, people who travel by train are less overweight than motorists. They are also more satisfied with their health and experience less stress than car commuters. However, longer travel times and busy trains are related to increased stress levels.
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Motorists via (in the evening):
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This map shows the specific trajectories on which counts are kept. Blue dots show road counts, yellow dots are public transport counts.
More information about trajectory measurements can be found in the knowledge centre.
Routes
MobilityAnalyst
Optimise the mobility policy and reduce travel time, costs and CO2 emissions.
How much CO2, travel time and costs can your organisation save?
Discover it with Europe's most interactive and user-friendly mobility scan
Have we already performed a mobility scan for your organisation? Then open your MobilityAnalyst file and get started right away with gaining insight and savings.
If you are exploring tooling that can help your organisation, open MobilityAnalyst in the demo mode and discover what an interactive mobility scan can do for your organisation. Go to MobilityAnalyst.com for more information and to request your own scan.
