Newly established community platform enables flexible creation

The community platform provides information about how great the potential is through a VillageOffice coworking space in your community. It talks about commuters, kilometers and costs. But where do these numbers actually come from?

Workers take a long way to get to work every day. Coordinated offerings of co-working places could also remedy the situation in communities. (Symbol image: Unsplash)

On the community platform, we show for each community the savings potential that a community can achieve by opening and actively using a VillageOffice coworking space. Without detailed on-site analysis, this potential is of course only a rough statistical approximation. We quantify the statistical savings potential as 20% based on the following assumptions:

  • According to the study The workplace of the future of Deloitte, half of all employees were already able to work from anywhere in 2016. The trend is rising.
  • We assume that in the medium term these people will work 2 out of 5 days at their place of residence, provided that a suitable workplace is available for this purpose(a VillageOffice coworking space). This makes a theoretical reduction of 40% possible (40% = 2 out of 5 days).

Based on these two figures, the savings potential is 20%: 50% of employees* work location-independently, of which 40% are degree of utilization.

Mergers

The commuter matrix dates back to 2014. Since then, there have been changes in the Swiss municipal landscape. The basic data for the VillageOffice community platform comes from the Official Municipal Directory of the FSO. We update the data on the basis of this directory once a year. In the case of mergers of municipalities, we add the data of the merged municipalities from the commuter matrix and show them under the new (merged) municipality.

Further development

According to information from the FSO, the commuter matrix will be updated with the data as of the reporting date 31.12.2018. Publication is planned for the second half of 2020. As soon as this data is available, we will update the VillageOffice community platform accordingly.

We also plan to make the data more precise with regard to the modal split. With the modal split, commuter kilometers can be broken down into the main mode of transport used. The FSO shows the following modes of transport for commuter mobility:

  • On foot
  • Velo
  • Car
  • Motorized two-wheelers
  • Railroad
  • Public road traffic
  • Other means of transport

Currently, our calculation of the distance and time required is based on the "car" mode of transport. In the future, we want to make the calculation based on the known means of transport.

 

Switzerland has arguably one of the best statistical offices in the world. The Swiss Federal Statistical Office (SFSO) has over the Commuter Mobility has compiled a comprehensive dossier of figures. At irregular intervals, the FSO also surveys the Commuter Matrix, most recently in 2014. These statistics are a linkage of three different data sources:

  1. Statistics of the population and households (STATPOP): Contains reports from the municipal population registers
  2. Register of old-age and survivors' insurance (AHV register): Contains reports from the AHV compensation funds. Provides the companies in which the employed persons work.
  3. Business statistics (STATENT): Provides information on the location of the companies' various workplaces (branches, subsidiaries, etc.) and the number of people working there

The FSO describes the procedure for the survey as follows:

  • First, the employed persons were defined on the basis of the AHV register: Persons are considered to be employed if they have one or more jobs with a salary subject to AHV contributions (i.e. at least CHF 2,300 per job and year). The commuter matrix takes into account all persons who were employed in December 2014.
  • STATPOP was then used to identify the municipalities of residence of the employed persons and STATENT to identify the companies for which they worked. If a person worked for more than one company, the employer was defined as the company from which the employed person received the highest salary.
  • STATENT was then used to determine the municipalities of work of all employed persons who worked in single-firm companies and whose place of work could therefore be clearly identified. In the reference year 2014, this was the case for around half of the approximately 4 million employed persons. If the employees had a secondary residence and this was closer to the place of work than the actual municipality of residence, the secondary residence was used as the "municipality of residence.
  • The employees of the multi-firm companies (2 million persons in 2014) were assigned to a specific workplace of the company they worked for by means of an optimization algorithm. For each company, the total travel time of its employees was minimized, taking into account the number of employees per workplace (known from STATENT). Since the gender of the employees was known - also at the level of workplaces - the algorithm worked gender-separated, which increased the accuracy of the allocation.

These figures are the basis for further calculations on the VillageOffice community platform.

Number of commuters

The number of commuters per municipality comes from the commuter matrix and indicates the sum of all commuters. This means people who live in the municipality but work outside it. This is the sheet "View residential municipality" in the commuter matrix. So-called "internal commuters" (municipality of residence = municipality of work) are excluded.

Number of kilometers

Based on the number of commuters, VillageOffice has approximated the distance traveled. For this purpose, we have calculated the distance traveled by the means of transport "car" via the Google Distance API calculated for each combination of place of residence and place of work and multiplied by the respective number of commuters. We plan to improve this calculation in the future by using the average modal split.

Due to data protection, the FSO only reports commuter flows with more than 5 persons. Therefore, the FSO summarizes certain commuter flows under the fictitious municipality number 7777 (Other municipalities). If the FSO specifies the canton, we evaluate these commuter flows assuming the cantonal capital. If the canton is also missing (canton abbreviation = ZZ), then we ignore these commuter flows in our calculation. This also results in a small difference between the sum of all municipality figures and the national commuter statistics.

Costs

The calculation of the costs is based on the same procedure as the calculation of the number of kilometers. The via Google Distance API we have multiplied the calculated average duration by the "value of a statistical life year VSLY".

There are several methods for calculating the value of a statistical year of life. And hopefully we all agree that a human life should never be reduced to an economic value. So this is just about calculating a ratio.

We have opted for the calculation method of the German Cancer Research Center DKFZ decided. The Center evaluated 120 economic studies worldwide published from 1995 to 2015, reporting on an estimated value determined using empirical methods. From these studies, an international mean value (median) of EUR 164,409 can be derived for a year of life.

This results in a statistical value of CHF 20.08 per hour with the following calculations:

 

More information about community projects on the community platform can be found at here

 

 

(Visited 35 times, 1 visits today)

More articles on the topic