Statistics module
e-Colibri back office
Table of contents
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The Statistics tab of the menu provides access to essential tools which assess the activity of your fleet in real time.
1. Overview
The home portal of this tab is presented in the form of a dashboard which summarises the main aspects of the data collected in relation to the activity of your vehicles.
Key figures
In the form of visual tiles, the key figures of statistics provide you with information about:
- The total number of reservations under your service
- The number of kilometres covered over the year under way, and in total since the service was launched
- The reservation percentages in relation to professional and personal contracts
Composition of the fleet
This diagram gives you an overview of the classification of your fleet of vehicles by model and by engine (combustion engine or electrical).
Rate of actual use from the year under way
This chart indicates the rate of actual use of your fleet of vehicles, as a percentage, for the year under way. This information allows you to adjust the size of your fleet of vehicles (underused) in order to optimise the rate of use to the greatest possible extent.
Number of reservations per month
This chart describes the monthly evolution in the number of reservations made on the carsharing platform over the past five months. A distinction is made between the reservations under pro contracts and those under perso contracts.
Monthly number of unsuccessful searches
This chart describes the monthly evolution in the number of unsuccessful searches. An unsuccessful search refers to a situation where the carsharing system is unable to offer a vehicle that matches the search criteria of a user.
Monthly evolution of number of subscribers
This curve gives the evolution curve of the number of subscribers to your carsharing service over the past 6 months.
Monthly evolution of number of vehicles
As a supplement to the previous chart, this diagram also details the number of vehicles registered on your management platform over the past 6 months.
2. Vehicles
This sub-section focuses more on your vehicles and their uses: are they more suited to professional or personal use? Do they have a good rate of actual use? How many users have reserved them?
All these data are accessible by performing particular searches via the search module on the left or even by clicking the various tabs located at the top of the page. For each tab, the search options remain the same: by date and/or by car park.
2.1 General
Personal and pro contracts distribution
This chart shows the distribution of reservations among professional contracts and personal contracts for each model of vehicle available in your fleet. Observing these trends may particularly enable you to offer, if you so choose, more vehicles suited to personal uses (utility or family vehicle) to meet the expectations of your employees.
Monthly evolution of number of vehicles
This curve gives an insight into the number of shared vehicles in your fleet. It may correlate with other charts, especially the one relating to the evolution in the number of subscribers to your service.
Worked real use and theoretical workmanship
Based on calculations of worked actual reservations and worked theoretical reservations in relation to vehicles, this bar chart displays the effective rate of use of your vehicles by model.
Average real used rate by category by working day by model
This chart describes, for each model and for the selected period of dates, the average rate of worked actual use, i.e. the percentage of time that a vehicle of a corresponding model is used on average over the selected period and over working hours (between 8 a.m. and 6 p.m. from Monday to Friday).
How should be the results be interpreted?
A high rate of use may be a sign that the model is popular.
If the rate of use is high for all models, it may be due to an undersized fleet.
2.2 Engine
The data displayed here focus on the use of your vehicles according to their engine (combustion engine or electrical).
Actual utilization rate by vehicle type
This chart describes the average rate of actual use according to the type of vehicle (electrical or combustion engine).
Average reservation distance by vehicle type
This chart describes the average distance covered per reservation, per vehicle and according to their type of engine (electrical or combustion engine).
Distribution of the travelled distance depending on the motorization
This chart describes the average distance covered per reservation, per vehicle and according to their type of engine (electrical or combustion engine). The peaks allow any standard journeys to be identified.
2.3 Use
Reservations
This chart describes the number of reservations for each model of vehicle, during the selected period of dates.
Distance travelled
This chart describes the distances covered for each model during the selected period of dates.
The various kinds of use
Theoretical or actual use
The theoretical use relates to the theoretical duration of a reservation, i.e. the period of time between the reservation start date and reservation end date requested by the user. Conversely, the actual use relates to the actual duration of the reservation, i.e. the difference in time between the moment at which the user enters the vehicle and the time at which the vehicle is returned.
Overall or worked use
The overall use lists all the hours in which the vehicles are used, 24/7. The worked use only lists the hours of use over working hours, i.e. from 8 a.m. to 6 p.m., from Monday to Friday.
Four types of use are therefore distinguished: the overall theoretical use, the worked theoretical use, the overall actual use and the worked actual use.
And four types of rates of use are also therefore distinguished: the rate of overall theoretical use, the rate of worked theoretical use, the rate of overall actual use and the rate of worked actual use.
By and large, when it is not specified whether the rate of use is in an overall or worked capacity, the rate of use is deemed to be overall.
In relation to the last two charts of the “general points” tab, it is possible to choose whether you want to review the overall or worked use, by selecting the appropriate sub-tab:
– From 8 a.m. to 6 p.m. = Worked use
– Over 24 hours = Overall use
These tabs are located under the chart entitled “Monthly evolution of the number of vehicles”.
The following charts display the actual and theoretical use for the various car parks (overall or worked according to the chosen tab), and the rate of actual use (overall or worked) for each model.
How is the rate of use calculated?
The rate of use represents the percentage of time during which a vehicle is used. For instance, if a vehicle is used for 6 hours a day, its rate of use is 25% for this day (100 x 6 / 24 = 25%).
A high rate of use may be a sign that the fleet is undersized, which means that users will not always find a vehicle that meets their mobility needs. Conversely, a low rate of use guarantees that users will almost always find a vehicle that tallies with their search criteria.
e.g. rate of worked actual use
For a fleet of two vehicles over a week.
The first vehicle was actually reserved for 5 hours during working hours.
The second vehicle was actually reserved for 10 hours during working hours and 3 hours during non-working hours.
There are 50 working hours in the week (10 hours per day, excluding Saturdays and Sundays).
The rate of worked actual use is therefore calculated as follows: Worked actual rate = 100 × 5+1050×2 = 15%
2.4 Export
The Export tab also enables you to log these statistics in the form of a spreadsheet to facilitate data processing operations. You can once again select the desired period and the car parks concerned by the export.
3. Parkings
This page includes the same model as the one dedicated to vehicles: search module and tabs are present to assess the activity of your car parks in real time according to several criteria.
You can again export your data by clicking the Export tab.
3.1 General
Distribution between pro contract and perso contract
This chart describes, for each car park, the way the reservations are distributed between professional contracts and personal contracts.
Actual use recorded and theoretical use recorded
For each car park and over the selected period of dates, this chart describes the number of hours reserved (theoretical use) and the number of hours in which the vehicle has actually been used (actual use) over working hours (between 8 a.m. and 6 p.m. from Monday to Friday).
Average rate of worked actual use per car park
This chart describes, for each car park and for the selected period of dates, the average rate of worked actual use, i.e. the percentage of time that a vehicle of a corresponding model is used on average over the selected period and over working hours (between 8 a.m. and 6 p.m. from Monday to Friday).
How should the results be interpreted?
A high rate of use may be a sign that the car park is undersized. The ideal situation is to contrast this value with the occupancy rate, anticipation and the number of unsuccessful searches.
Conversely, a low rate of use may be due to an oversized fleet.
3.2 Use
Distance travelled
This chart describes the distances covered for each car park during the selected period of dates.
Reservations
This chart describes the number of reservations for each car park during the selected period of dates.
3.3 Users
Number of users by parking
This chart describes the evolution in the number of subscribers. Each colour relates to a car park, and by passing your cursor over one of the coloured bars, you can see the number of subscribers at the corresponding car park.
Summary table
A table, which can be exported in CSV format, is also made available on this page. It lists the subscribers, along with their reference car park, the distance covered (in kilometres), the theoretical and actual use of the service (in hours) and their numbers of reservations.
3.4 Export
De même que sur la page dédiée aux statistiques véhicules, l’onglet Export vous permet d’enregistrer les données relatives aux parkings afin de faciliter le traitement. Vous pouvez une fois de plus sélectionner la période voulue ainsi que les parkings concernés par l’export.
4. Subscribers
Another major piece of information that you can assess is the way in which your vehicles are used by the users of your service.
4.1 Subscribers
Monthly evolution of number of subscribers
This chart describes the monthly evolution in the number of subscribers.
Sumarry table
A table, which can be exported in CSV format by clicking the icon 
, is also made available on this page.
4.2 Contracts
The contracts are presented in the form of a table. You can refine the result displayed using a side search module.
Various information is provided: the type of formula subscribed (student, individual, company), the person responsible, the number of subscribers associated with the contract, and any information about the use and reservations made as part of the service.
5. Booking
The Booking page clearly explains the reservation mechanics related to your fleet according to the user’s profile.
5.1 General
Departure date
This chart describes the distribution of reservation start dates between the days of the week.
Departure time
This chart describes the distribution of reservation start times between the hours of the day.
Monthly changes in the use rate
This chart describes the monthly evolution of the rate of theoretical use and the rate of actual use.
5.2 Reservations
Monthly changes in the number of reservations by type of booking
This chart describes the monthly evolution in the number of reservations. By clicking the items of the key located on the right, it is possible to obtain details of the number of reservations made per month and for each reservation method.
Number of reservations made monthly
This chart describes the monthly evolution in the number of reservations made on the carsharing platform. A distinction is made between the reservations under pro contracts and those under personal contracts.
5.3 Anticipation
The anticipation period relates to the lapse of time between the moment at which a subscriber makes a reservation and the start date of the reservation.
General statistics
This boxed text provides the information about the anticipation period related to your fleet of vehicles. These data are split into two: professional contracts on the one hand and personal contracts on the other. A general calculation is also displayed.
Understanding and interpreting the anticipation period
The anticipation period relates to the difference in time between the moment at which a subscriber makes a reservation and the theoretical start date of this reservation.
Interpretation
• A small anticipation period, on average, proves that users are able to reserve vehicles without having to anticipate their trips in advance. This implies that there are enough vehicles in the fleet to guarantee that the system capacity will meet the mobility needs of users.
• A high anticipation period may be a sign that users need to reserve their vehicles way ahead of time to ensure that they are available, which would point to an undersized fleet. However, it may also be due to the fact that users have the capacity to consider their trips in advance and are merely well-organised by reserving a vehicle as soon as they have identified a mobility need. This information should therefore be carefully considered and should be crossed, if possible, with the rate of use.
Average anticipation per type of option
This chart describes the anticipation according to the type of reserved formula, directly related to the general statistics of the section. These figures can provide various information about the reservation habits of your subscribers according to their uses.
Average anticipation per car park
This chart describes the average anticipation according to the car park of the reservation.
Average anticipation per type of car
This chart describes the average anticipation according to the model of vehicle reserved. If the anticipation period is high based on this precise information, it may mean that users are looking for a particular model of vehicle for use on their trips. This information may help you, if necessary, to redefine the classification of your fleet for the sake of consistency with these observations.
5.4 Delays and no shows
“No Show” refers to a situation where a user has not used a vehicle despite the fact that it has been reserved.
Nb. the duration of a no-show relates to the theoretical duration of the reservation which should have taken place.
General statistics
In this boxed text, an overview of delays and no-shows is presented: number, maximum duration, minimum duration and average duration.
Summary table of delays and no shows
In addition to the presented statistics, the table provides details of delays and no-shows for each subscriber (with at least one delay or one no-show on their account). This table may be exported by clicking the icon .
6. Accounting
Besides the data concerning the use of your service, the statistics module can provide financial information about it.
6.1 Balance sheet
This chart represents the financial incomings and outgoings related to the carsharing system. The top part represents the gains while the bottom part represents the outlay. The background curve represents the margin recorded, i.e. the difference between the sum of the gains and the sum of the outlay. It is possible to obtain varying degrees of detail on the chart by changing the various elements of the search engine located on the left.
6.2 Options
Options distribution
This chart illustrates the distribution of contracts between the various formulas.
Revenue per option
This chart illustrates the share of turnover attributable to the various formulas.
7. Saturation
7.1 Saturation
Daily maximum of vehicles reserved at the same time
This chart represents, for each day of the selected period of time, the maximum number of vehicles which have been reserved simultaneously.
Number of vehicles reserved simultaneously during a day
This chart represents the evolution in the number of vehicles reserved simultaneously during the selected day.
Understanding the saturation rate
The saturation of the carsharing fleet represents the proportion of vehicles used at the same time.
On average, the higher it is, the less likely it is for users to have trouble finding a vehicle suited to their needs. The fleet is deemed to be saturated when all vehicles are reserved at the same time.
The fact that the fleet is not completely saturated does not guarantee that a user will be able to reserve a vehicle, as reservations may be distributed over all vehicles without them all being reserved at the same time:
In the example above, the fleet of two vehicles is never saturated, but any user who wishes to reserve from 11 a.m. to 2 p.m. does not find any vehicle that matches the search criteria.
7.2 Unsuccessful searches
Located on the Reservations page of the statistics module, the “Unsuccessful searches” tab provides specific information about the use of the fleet of vehicles.
An unsuccessful search refers to a situation where the carsharing system is unable to offer a vehicle that matches the search criteria of a user. The number of unsuccessful searches is a good indicator of the capacity of a carsharing system to meet the mobility needs of users.
The chart simply describes the monthly evolution in the number of unsuccessful searches. The second chart presents, for each day of the time period, the number of unsuccessful searches relating to that specific day. By clicking a vertical bar, details of the corresponding unsuccessful searches are shown, which will be displayed on the chart underneath.
This third chart therefore presents the various unsuccessful searches relating to a specific day. Each horizontal bar relates to a search. The left limit of a bar relates to the start date of the search and the right limit to the end date.
Number of unsuccessful searches per month
This chart describes the monthly evolution in the number of unsuccessful searches.
Number of unsuccessful searches per day
This chart illustrates, for each day of the time period, the number of unsuccessful searches relating to that specific day. By clicking a vertical bar, details of these unsuccessful searches relating to the corresponding day are displayed on the chart underneath.
8. Exports
From the statistics module of your e-Colibri™ platform, you can export data:
- Contract export
- Subscriber export
- Reservation export
- Complete reservation export
- Penalty export
- Unsuccessful reservation export
