Region In Motion
The times where the majority of employees (e.g. tailors and blacksmiths) worked on their own propety have passed. The industrialization brought up manufacturing and factories. The Athens Charta segragated the different urban fucntions. Also, the quality and accessibility of means of transport increased. Furthermore, the general lifestyle became more and more specialized, including the professional sphere. Consequently, the distance between the place of residence and the workplace increased as well [Destatis 2009: 2; Holz-Rau 2011: 8]. The increase in the length of the commutes in Germany had its peak between 1970 and 1999 [Holz-Rau et. al. 2011: 8]. It has remained at the same level ever since [Destatis 2009: 2; Destatis 2014: 1]. The average German takes 3,4 ways a day. Of this, 14% are the ways to work and from work back home (the educational traffic amounts to 6%, the bussiness traffic amounts to 7%) [Mobilität in Deutschland (MiD) 2008: 116]. Regarding the average length of these ways, the business ways are the most lengthy ones (20,4km, 17,7km) [MiD 2008 in: ADAC 2010: 13]. Residents of economically underdeveloped regions have to take especially long commutes. The travel time is especially short in metropolitan regions [Eckey et al. 2007: 5-12; Destatis 2014: 1-3; Winkelmann 2010: 42]. Commutes bring motion to a region. Mobility and space are interdependent of each other: mobility supplies create mobility demands, mobility demands bring up new mobility supplies. Long commutes optimize the attraction of specialized and extensive pension institutions along the commute route. Simultaneously, small local suppliers lose their attraction.
Prototype rating as analysis tool and content rating tool
It shows that the use of columns (instead of extruded community areas) does not enable us to compare the commuter flows to the extend that we expected. Comparisons between communities are only slightly possible from certain points of views. Furthermore, it is clear that the visualization of the commuter flows are not contributing to the rating of the region. Therefore, in our project „To drive like a commuter“, we deal with that question again. Nevertheless, the prototype does show the important commuter flows of the region. By doing so, the distinct communities empty themselves, especially in the rural areas. However, the bigger centers like Bielefeld, Paderborn, Gütersloh and Detmold win daily population on a large scale (relatively and absolutely).
In the framework of developing the prototype, we have had experiences with Cesium. While conducting our project HolzmindenHealthMap we applied these experiences one more time. In a more narrow sense, the prototype can be used for example to visualize regional population developments for time rows.
The data used in the prototype are mainly based on the commuter flows of insurable employees. For all the employees, we used a classic 9 to 5 job on the weekdays (Monday to Friday). There is still potential for a optimization oft he prototype (pupils, students, apprentices, other employees; weekdays, consideration oft he weekly commuters, …). However, the focus of the work was on the experimental application of the relevant software libraries.