Chapter 26
Ecological Cost-Benefit Analysis
of a Sensor-Based Parking Prediction
Service
Jan Druschke, Stephan Fath, Lutz Stobbe, Nils F. Nissen, Nikolai Richter,
and Klaus-Dieter Lang
Abstract The fast-growing sector of smart city applications resulting from the
ongoing digitalization has a huge impact on our society. They use innovative technologies to improve for example mobility, optimize shopping or offer intelligent
travel guide assistance. However, these applications have not only the potential to
benefit our daily life with precisely targeted services, but also to reduce the environmental impact we create. In this paper the authors present the proceeding for
a simplified life cycle assessment on the special case of a sensor-based parking
prediction service of the Deutsche Telekom called “Park&Joy”.
Keywords Life cycle assessment · Emission · Smart city · Sensor · Parking
26.1 Introduction
In 2018, Deutsche Telekom began the rollout of a new service offering. They implemented a new Smart City application in cooperation with various technology companies with the aim of relieving traffic in German city centers. This application, in the
form of a navigation app in combination with a parking lot search function and
an integrated ticket booking system, has the goal of massively reducing parking
traffic emissions. Within this investigation these parking traffic emissions is estimated
140,000t CO 2 eq per year for Germany’s 80 largest cities in total.
It aims to reduce the time spent searching for parking lots significantly by
displaying possible unoccupied parking lots in the target area to a user of the mobile
application and guiding him through the traffic accordingly. The availability of unoccupied parking lots is a purely statistically determined and computer-aided value
J. Druschke (B) · L. Stobbe · N. F. Nissen · N. Richter · K.-D. Lang
Fraunhofer Institute for Reliability and Microintegration IZM, Berlin, Germany
e-mail: jan.druschke@izm.fraunhofer.de
S. Fath
Deutsche Telekom Technik GmbH, Darmstadt, Germany
K.-D. Lang
Technische Universität Berlin, Berlin, Germany
© Springer Nature Singapore Pte Ltd. 2021
Y. Kishita et al. (eds.), EcoDesign and Sustainability II, Sustainable Production, Life
Cycle Engineering and Management, https://doi.org/10.1007/978-981-15-6775-9_26
399
Ecological Cost-Benefit Analysis
of a Sensor-Based Parking Prediction
Service
Jan Druschke, Stephan Fath, Lutz Stobbe, Nils F. Nissen, Nikolai Richter,
and Klaus-Dieter Lang
Abstract The fast-growing sector of smart city applications resulting from the
ongoing digitalization has a huge impact on our society. They use innovative technologies to improve for example mobility, optimize shopping or offer intelligent
travel guide assistance. However, these applications have not only the potential to
benefit our daily life with precisely targeted services, but also to reduce the environmental impact we create. In this paper the authors present the proceeding for
a simplified life cycle assessment on the special case of a sensor-based parking
prediction service of the Deutsche Telekom called “Park&Joy”.
Keywords Life cycle assessment · Emission · Smart city · Sensor · Parking
26.1 Introduction
In 2018, Deutsche Telekom began the rollout of a new service offering. They implemented a new Smart City application in cooperation with various technology companies with the aim of relieving traffic in German city centers. This application, in the
form of a navigation app in combination with a parking lot search function and
an integrated ticket booking system, has the goal of massively reducing parking
traffic emissions. Within this investigation these parking traffic emissions is estimated
140,000t CO 2 eq per year for Germany’s 80 largest cities in total.
It aims to reduce the time spent searching for parking lots significantly by
displaying possible unoccupied parking lots in the target area to a user of the mobile
application and guiding him through the traffic accordingly. The availability of unoccupied parking lots is a purely statistically determined and computer-aided value
J. Druschke (B) · L. Stobbe · N. F. Nissen · N. Richter · K.-D. Lang
Fraunhofer Institute for Reliability and Microintegration IZM, Berlin, Germany
e-mail: jan.druschke@izm.fraunhofer.de
S. Fath
Deutsche Telekom Technik GmbH, Darmstadt, Germany
K.-D. Lang
Technische Universität Berlin, Berlin, Germany
© Springer Nature Singapore Pte Ltd. 2021
Y. Kishita et al. (eds.), EcoDesign and Sustainability II, Sustainable Production, Life
Cycle Engineering and Management, https://doi.org/10.1007/978-981-15-6775-9_26
399