Abstract
This paper presents the results of a feasibility study. The study addresses baseline investigations regarding possibilities and modes of cooperation, as well as regarding possible integrative (multimodal) mobility supplies (e.g. between public transport and health care facilities) based on open data. In result, existing digital data were specified and checked whether and how they can be used, together with existing open data of the mCloud and other sources, to create an effective steering- and prognosis base for the (digital) control of traffic flows of health care centres. Therefore, potentials were identified about how the data of health care centres may enrich a regional data basis and thereby enhance municipal traffic control systems. In result, existing possibilities and barriers of the preferably sustainable satisfaction of prevailing mobility demands of patients, employees and visitors were assessed with regards to feasibility in terms of mobility supply. Another focus was put on the development of sustainable mobility solutions, which help to reduce emissions and other negative effects of traffic. Besides results of empirical surveys, an architecture for a data- and mobility platform was compiled for implementation.
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Notes
- 1.
For patients, only “elective services” are considered, i.e. services of conditional timely pressure: Between the detection of necessary inpatient or outpatient treatment and the respective service provision by the health care facility, the concerned parties have enough time to gather information and plan the location and time of service provision. For emergencies an ex-ante planning obviously is impossible.
References
Klauber, J., Geraedts, M., Friedrich, J., Wasem, J. (Hrsg.): Krankenhaus-Report 2018; Schwerpunkt: Bedarf und Bedarfsgerechtigkeit. Schattauer-Verlag (Stuttgart)
IGES Institut/ADAC: Mobilität sichert Entwicklung. Herausforderungen für den ländlichen Raum. Berlin. https://www.adac.de/_mmm/pdf/fi_mobilitaet%20sichert_entwicklung_studie_0316_259064.pdf (abgerufen am 21.11.2017) (2016)
Bendrien, S., Baumeister, H., Struß, J., Sittig, S., Lemke, M., Michelmann, H., Zietz, A.: Medizinische Versorgung und ÖPNV im ländlichen Raum – Grundlagenuntersuchung zu Kooperationsmöglichkeiten und -formen zwischen ÖPNV und medizinischen Versorgungseinrichtungen im ländlichen Raum; für den Zweckverband Verkehrsverbund Bremen/Niedersachsen (ZVBN), Bremen (2012)
Zapp, W.: Strategische Entwicklung im Krankenhaus, Kennzahlen - Portfolio - Geokodierung – Belegungs management, Stuttgart (2014)
Wagner vom Berg, B.: Konzeption eines Sustainability Customer Relationship Management (SusCRM) für Anbieter nachhaltiger Mobilität. Shaker Verlag, Aachen (2015)
Wagner vom Berg, B., Norrenbrock, R., Marx Gómez, J.: Incentive scheme within a sustainability CRM for mobility. In: Proceedings of the 27th EnviroInfo 2013 Conference, Hamburg, Germany, 2–4 Sept, pp. 470–480. Shaker Verlag, Aachen (2013)
Wagner vom Berg, B., Cordts, M., Gäbelein, T., Uphoff, K., D., Sandau, A., Stamer, Marx Gómez, J.: Mobility 2020 - IKT-gestützte Transformation von Autohäusern zum regionalen Anbieter nachhaltiger Mobilität. Tagungsband der MKWI 2016. TU Illmenau (2016)
Wagner vom Berg, B., Brinkmann, M., Marx Gómez, J.: Conception of a Big Data platform in context of power economy. In: 4th International Conference on ICT for Sustainability (ICT4S), Amsterdam, 30 Aug–02 Sept 2016
Schütz, J., Schünke, D., Koester, F., Wagner vom Berg, B.: An approach for a comprehensive knowledge base for a DSS to determine the suitability of open data business models. Enviroinfo 2017 (2018)
Sandau, A., Wagner vom Berg, B., Gómez, J.M.: Trends in mobility: a competitive based approach for virtual mobility providers to participate in transportation markets. In: Advances and New Trends in Environmental Informatics (2016)
Bitkom (2013): Management von Big-Data-Projekten Leitfaden von Bitkom. (Hrsg.): Bitkom, BITKOM-Arbeitskreis Big Data. http://www.bitkom.org/files/documents/LF_big_data2013_web.pdf. Last accessed 07 Apr 2014
BLIC GmbH: Echtzeitinformation Verkehrsverbund Bremen/Niedersachsen (VBN) - 1. Ausbaustufe. http://www.blic.de/nc/referenzen/oev/projektdarstellung/browse/2/artikel/echtzeitinformation-verkehrsverbund-bremenniedersachsen-vbn-br1-ausbaustufe.html. Last accessed 08 Apr 2014
Marsan, Carolyn Duffy: Cloud-based analytics keeps Montreal’s buses full and ridership growing. http://gcn.com/articles/2014/01/17/montreal-metro.aspx. Last accessed 07 Apr 2014
Seiler, M.: INSPIRE-Daten im Gesundheitswesen – Status und Potenzial, In: Angewandte Geoinformatik 2014: Beiträge zum 26. AGIT-Symposium Salzburg. http://gispoint.de/fileadmin/user_upload/paper_gis_open/AGIT_2014/537543078.pdf (2014)
Sandau, A., Dietrich, B., Akyol, A., Wagner vom Berg, B., Gómez, J.M.: Steigerung der Sensibilität für nachhaltige Mobilität durch die mobile Reiseapplikation Guyde, Tagungsband Multikonferenz Wirtschaftsinformatik (2018)
Wagner vom Berg, B., Köster, F., Marx Gómez, J.: Förderung der Elektromobilität durch innovative Infrastruktur- und Geschäftsmodelle. In: Leimeister, M., Krcmar, H., Hoffmann, H., Schermann, M. (Hrsg.) Automotive Services 2010. Books on Demand GmbH, Norderstedt (2010)
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Wagner vom Berg, B., Gäbelein, T., Knies, J., Uphoff, K. (2018). Target Group Based Mobility Chains in Health Care Systems. In: Bungartz, HJ., Kranzlmüller, D., Weinberg, V., Weismüller, J., Wohlgemuth, V. (eds) Advances and New Trends in Environmental Informatics. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-99654-7_9
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