Identifying urban stress and bicycle infrastructure relationships: a mixed-methods citizen-science approach

References

• ADLI, M. (2017). Stress and the City. Warum Städte uns krank machen. Und warum sie trotzdem gut für uns sind (2nd ed.). München: C. Bertelsmann Verlag. https://doi.org/10.1007/s13147-018-0517-4
   Google Scholar
• ALBAGLI, S., MACIEL, M., & ABDO, A. (2015). Open science, open issues, 2015. Rio de Janeiro.
   Google Scholar
• ALDRED, R., & GOODMAN, A. (2018). Predictors of the frequency and subjective experience of cycling near misses: Findings from the first two years of the UK near miss project. Accident Analysis & Prevention, 110, 161–23. https://doi.org/10.1016/j.aap.2017.09.015
   PubMed Web of Science ®Google Scholar
• AUTELITANO, F., & GIULIANI, F. (2021). Colored bicycle lanes and intersection treatments: International overview and best practices. Journal of Traffic and Transportation Engineering (English Edition), 8(3), 399–420. https://doi.org/10.1016/j.jtte.2021.03.003
   Google Scholar
• AVILA-PALENCIA, I., DE NAZELLE, A., COLE-HUNTER, T., DONAIRE-GONZALEZ, D., JERRETT, M., RODRIGUEZ, D. A., & NIEUWENHUIJSEN, M. J. (2017). The relationship between bicycle commuting and perceived stress: A cross-sectional study. British Medical Journal Open, 7(6), e013542. https://doi.org/10.1136/bmjopen-2016-013542
   PubMed Web of Science ®Google Scholar
• BECK, B., PERKINS, M., OLIVIER, J., CHONG, D., & JOHNSON, M. (2021). Subjective experiences of bicyclists being passed by motor vehicles: The relationship to motor vehicle passing distance. Accident Analysis & Prevention, 155, 106102. https://doi.org/10.1016/j.aap.2021.106102
   PubMed Web of Science ®Google Scholar
• BEIERLEIN, C., KOVALEVA, A., KEMPER, C., & RAMMSTEDT, B. (2014). Eine Single-Item-Skala zur Erfassung von Risikobereitschaft: Die Kurzskala Risikobereitschaft-1 (R-1). GESIS-Working Papers, 34, 12–18. https://www.gesis.org/fileadmin/kurzskalen/working_papers/R1_WorkingPapers_2014-34.pdf
   Google Scholar
• BERCHT, A. L. (2013). Stresserleben, Emotionen und Coping in Guangzhou. Mensch-Umwelt-Transaktionen aus geographischer und psychologischer Perspektive.
   Google Scholar
• BIKE CITIZENS GmbH. (2023). Bike Citizens Mobile solutions GmbH. Projekt Homepage. https://www.bikecitizens.net/de/(07.02.2023
   Google Scholar
• BIRENBOIM, A., DIJST, M., SCHEEPERS, F. E., POELMAN, M. P., & HELBICH, M. (2019). Wearables and location tracking technologies for mental-state sensing in outdoor environments. The Professional Geographer, 71(3), 449–461. https://doi.org/10.1080/00330124.2018.1547978
   Web of Science ®Google Scholar
• BMDV. (2022): Fahrradland Deutschland 2030 – Nationaler Radverkehrsplan 3.0. https://bmdv.bund.de/SharedDocs/DE/Anlage/StV/nationaler-radverkehrsplan-3-0.pdf?__blob=publicationFile (28 06 2022).
   Google Scholar
• BROSSCHOT, J. F., GEBHARDT, W., & GODAERT, G. (1994). Internal, powerful others and chance locus of control: Relationships with personality, coping, stress and health. Personality and Individual Differences, 16(6), 839–852. https://doi.org/10.1016/0191-8869(94)90228-3
   Web of Science ®Google Scholar
• CANNON, W. B. (1932). The wisdom of the body. W W Norton & Co.
   Google Scholar
• CAVIEDES, A., FIGLIOZZI, M., LE, H., LIU, F., & FENG, W. (2017): What does stress real-world cyclists? Transportation Research Board 96th Annual Meeting, Washington DC, United States, January, 1–15.
   Google Scholar
• CYCLINGDATA. (2023): Bike Citizens Analytics - GPS analysis tool for cycling data, https://cyclingdata.net/(07.02.2023).
   Google Scholar
• DIGIOIA, J., WATKINS, K. E., XU, Y., RODGERS, M., & GUENSLER, R. (2017). Safety impacts of bicycle infrastructure: A critical review. Journal of Safety Research, 61, 105–119. https://doi.org/10.1016/j.jsr.2017.02.015
   PubMed Web of Science ®Google Scholar
• ENGELNIEDERHAMMER, A., PAPASTEFANOU, G., & XIANG, L. (2019). Crowding density in urban environment and its effects on emotional responding of pedestrians: Using wearable device technology with sensors capturing proximity and psychophysiological emotion responses while walking in the street. Journal of Human Behavior in the Social Environment. https://doi.org/10.1080/10911359.2019.1579149
   Web of Science ®Google Scholar
• FGSV. (2006). Richtlinien für die Anlage von Stadtstraßen (RASt 06). FGSV Verlag.
   Google Scholar
• FITCH, D. T., SHARPNACK, J., & HANDY, S. (2017): The road environment and bicyclists’ psychophysiological stress. Proceedings of the 6th Annual International Cycling Safety Conference, 22–24. https://doi.org/10.1016/j.trpro.2014.11.006
   Google Scholar
• FLICK, U. (2008). Triangulation: Eine EInführung. Berlin. https://doi.org/10.1007/978-3-531-92864-7
   Google Scholar
• FULLER, R. (2005). Towards a general theory of driver behaviour. Accident Analysis & Prevention, 37(3), 461–472. https://doi.org/10.1016/j.aap.2004.11.003
   PubMed Web of Science ®Google Scholar
• GEHL, J. (2015). Städte für Menschen. JOVIS Verlag.
   Google Scholar
• GELLER, R. (2009). Four types of cyclists. Portland Bureau of Transportation. Portland.
   Google Scholar
• Götschi, T., CASTRO, A., DEFORTH, M., MIRANDA-MORENO, L., & ZANGENEHPOUR, S. (2018). Towards a comprehensive safety evaluation of cycling infrastructure including objective and subjective measures. Journal of Transport & Health, 8, 44–54. https://doi.org/10.1016/j.jth.2017.12.003
   Web of Science ®Google Scholar
• GRAF, T. (2016). Handbuch: Radverkehr in der Kommune: Nutzertypen, Infrastruktur, Stadtplanung, Marketing: Das Hygge-Modell, Ergänzung zur ERA (1st ed.). Les éditions Bruno im Hause Thiemo Graf Verlag, Röthenbach an der Pregnitz.
   Google Scholar
• GREY, F. (2012): 2nd London Citizen cyberscience summit 16-18 02-2012. http://citizencyberscience.net/blogs/index.php/category/volunteer-computing/
   Google Scholar
• GROß, D., & ZEILE, P. (2016). EmoCyclingConcept – Potenziale der emotionalen Stadtkartierung. In J. Strobl, B. Zagel, G. Griesebner, & T. Blaschke (Eds.), Agit (pp. 273–278). Wichmann Verlag. https://doi.org/10.14627/537622040
   Google Scholar
• HEINKE, M. (2022). Analyse Hotspots Osnabrück. Interne Projektpräsentation, Stadt Osnabrück.
   Google Scholar
• HOLMES, T. H., & RAHE, R. H. (1967). The social readjustment rating scale. Journal of Psychosomatic Research, 11(2), 213–218. https://doi.org/10.1016/0022-3999(67)90010-4
   PubMed Web of Science ®Google Scholar
• HULL, A., & O’HOLLERAN, C. (2014). Bicycle infrastructure: Can good design encourage cycling? Urban, Planning and Transport Research, 2(1), 369–406. https://doi.org/10.1080/21650020.2014.955210
   Google Scholar
• I Agustí, D. P., Rutllant, J., & Fortea, J. L. (2019). Differences in the perception of urban space via mental maps and heart rate variation (HRV). Applied Geography, 112, 102084. https://doi.org/10.1016/j.apgeog.2019.102084
   Web of Science ®Google Scholar
• JOHANNSEN, H. (2013) Unfallmechanik und Unfallrekonstruktion. Springer Fachmedien:
   Google Scholar
• KAPLAN, S., & PRATO, C. G. (2016). “Them or us”: Perceptions, cognitions, emotions, and overt behavior associated with cyclists and motorists sharing the road. International Journal of Sustainable Transportation, 10(3), 193–200. https://doi.org/10.1080/15568318.2014.885621
   Web of Science ®Google Scholar
• KOVALEVA, A., BEIERLEIN, C., KEMPER, C. J., & RAMMSTEDT, B. (2012): Kurzskala zur Messung von Kontrollüberzeugung: Die Skala Internale-Externale-Kontrollüberzeugung-4 (IE-4). In:GESIS-Working Papers 19.
   Google Scholar
• KYRIAKOU, K., & RESCH, B. (2019). Spatial analysis of Moments of stress derived from wearable sensor data. Advances in Cartography and GIScience of the ICA, 2, 1–8. https://doi.org/10.5194/ica-adv-2-9-2019
   Google Scholar
• KYRIAKOU, K., RESCH, B., SAGL, G., PETUTSCHNIG, A., WERNER, C., NIEDERSEER, D., LIEDLGRUBER, M., WILHELM, F. H., OSBORNE, T., & PYKETT, J. (2019). Detecting Moments of stress from measurements of wearable physiological Sensors. Sensors, 19(17), 3805. https://doi.org/10.3390/s19173805
   PubMed Web of Science ®Google Scholar
• LAZARUS, R. S. (1999). Stress and emotion: A New synthesis. Springer Publishing Co.
   Google Scholar
• LYON, B. L. (2005). Stress, Bewältigung und Gesundheit: Konzepte im Überblick. In V. H. Rice (Ed.), Stress und Coping. Lehrbuch für Pflegepraxis und -wissenschaft (pp. 25–47). Virginia Hill Rice.
   Google Scholar
• MARTNS, J. (2011): Osnabrück, In der Katharinenstraße bestimmen Radler das Tempo. Neue Osnabrücker Zeitung, https://www.noz.de/lokales/osnabrueck/artikel/fahrradstrassen-osnabrueck-in-der-katharinenstrasse-bestimmen-radler-das-tempo-23933373,
   Google Scholar
• MEKURIA, M. C., FURTH, P. G., & NIXON, H. (2012): Low-stress bicycling and network connectivity. http://scholarworks.sjsu.edu/mti_all
   Google Scholar
• MERK, J., ECKARD, J., & ZEILE, P. (2021). Subjektiven Verkehrsstress objektiv messen - Ein EmoCycling Mixed Methods Ansatz. In M. Schrenk, V. V Popovich, P. Zeile, P. Elisei, C. Beyer, J. Ryser, & G. Stöglehner (Eds.), REAL CORP 2021. CORP - Competence Center of Urban and Regional Planning. https://doi.org/10.48494/REALCORP2021.9072
   Google Scholar
• MOSER, M. K., RESCH, B., & EHRHART, M. (2023). An individual-oriented algorithm for stress detection in wearable sensor measurements. IEEE Sensors Journal, 23(19), 22845–22856. https://doi.org/10.1109/JSEN.2023.3304422
   Web of Science ®Google Scholar
• NILSEN, P. (2004). Making sense of safety. Injury Prevention, 10(2), 71–73. https://doi.org/10.1136/ip.2004.005322
   PubMed Web of Science ®Google Scholar
• NOBIS, C. (2018). Mobilität in Deutschland - MiD. Fragenübersicht.
   Google Scholar
• NOLD, C. (2009). Emotional cartography: Technologies of the self. Christian Nold.
   Google Scholar
• OKEN, B. S., CHAMINE, I., & WAKELAND, W. (2015). A systems approach to stress, stressors and resilience in humans. Behavioural Brain Research, 282, 144–154. https://doi.org/10.1016/J.BBR.2014.12.047
   PubMed Web of Science ®Google Scholar
• OSBORNE, T., & JONES, P. I. (2017). Biosensing and geography: A mixed methods approach. Applied Geography, 87, 160–169. https://doi.org/10.1016/j.apgeog.2017.08.006
   Web of Science ®Google Scholar
• PASCHALIDIS, E., BASBAS, S., POLITIS, I., & PRODROMOU, M. (2016). “Put the blame on…others!”: The battle of cyclists against pedestrians and car drivers at the urban environment. A cyclists’ perception study. Transportation Research Part F, Traffic Psychology and Behaviour, 41(2016), 243–260. ISSN 1369-8478. https://doi.org/10.1016/j.trf.2015.07.021
   Google Scholar
• RAMMSTEDT, B., KEMPER, C. J., KLEIN, M. C., BEIERLEIN, C., & KOVALEVA, A. (2012): Eine kurze Skala zur Messung der fünf Dimensionen der Persönlichkeit: Big-Five-Inventory-10 (BFI-10). In: GESIS-Working Papers 23.
   Google Scholar
• REYNOLDS, C. C., HARRIS, M. A., TESCHKE, K., CRIPTON, P. A., & WINTERS, M. (2009). The impact of transportation infrastructure on bicycling injuries and crashes: A review of the literature. Environmental Health, 8(1), 47. https://doi.org/10.1186/1476-069X-8-47
   PubMed Web of Science ®Google Scholar
• RICHTER, T., BEYER, O., ORTLEPP, J., & SCHREIBER, M. (2019): Forschungsbericht. 59 - Sicherheit und Nutzbarkeit markierter Radverkehrsführungen (Gesamtverband der Deutschen Versicherungswirtschaft e. Ed.). https://m.udv.de/de/publikationen/forschungsberichte/sicherheit-und-nutzbarkeit-markierter-radverkehrsfuehrungen
   Google Scholar
• RIK DE GROOT, H. (2016). Design manual for bicycle traffic. Crow.
   Google Scholar
• SCHANDRY, R. (2016). Biologische Psychologie (4th ed., Vol. 324). Beltz Verlag.
   Google Scholar
• SCHMIDT-HAMBURGER, C. (2022): Stresstest Fußverkehr: Eine Studie im Rahmen des NRVP-Projektes „Cape Reviso” zur Messung des Stressempfindens Zufußgehender in Stuttgart Universität Bremen ( Master-Thesis), p. 26
   Google Scholar
• SCHMIDT-HAMBURGER, C., ELTNER, T., ZEILE, P., & HAUG, N. (2023): Urban stress and bicycle infrastructure in the city of Osnabrück. Analysing well-being and infrastructure relationships in streetscapes through a triangulation approach. Real Corp 2023 Conference Proceedings. Wien.
   Google Scholar
• SELYE, H. (1956). The stress of life. New York: McGraw-Hill.
   Google Scholar
• SHERBININ, D. E., BOWSER, A., CHUANG, A., COOPER, T.-R., DANIELSEN, C., EDMUNDS, F., ELIAS, R., FAUSTMAN, P., HULTQUIST, E., MONDARDINI, C., IOANA, R., SHONOWO, P., & SIVAKUMAR, A. K. (2021). The critical importance of Citizen science data. Perspective, 3. https://doi.org/10.3389/fclim.2021.650760
   Google Scholar
• SHOVAL, N., SCHVIMER, Y., & TAMIR, M. (2018). Tracking technologies and urban analysis: Adding the emotional dimension. Cities, 72, 34–42. https://doi.org/10.1016/j.cities.2017.08.005
   Web of Science ®Google Scholar
• SORENSEN, M., & MOSSELEMI, M. (2009): Subjective and objective safety. The effect of road safety measures on subjective safety among vulnerable road users. TØI report 1009/2009. ISSN 0808-1190.
   Google Scholar
• STRASSER, B. J., BAUDRY, J., MAHR, D., SANCHEZ, G., & TANCOIGNE, E. (2019). “Citizen science”? Rethinking science and public participation. Science and Technology Studies, 32(2), 52–76. https://doi.org/10.23987/sts.60425
   Web of Science ®Google Scholar
• TEIXEIRA, I. P., RODRIGUES DA SILVA, A. N., SCHWANEN, T., MANZATO, G. G., Dörrzapf, L., ZEILE, P., DEKONINCK, L., & BOTTELDOOREN, D. (2020). Does cycling infrastructure reduce stress biomarkers in commuting cyclists? A comparison of five European cities. Journal of Transport Geography, 88, 102830. https://doi.org/10.1016/j.jtrangeo.2020.102830
   Web of Science ®Google Scholar
• TROJAN, J., SCHADE, S., LEMMENS, R., & Frantál, B. (2019). Citizen science as a new approach in Geography and beyond: Review and reflections. Moravian Geographical Reports, 27(4), 254–264. https://doi.org/10.2478/mgr-2019-0020
   Web of Science ®Google Scholar
• VAN PETEGEM, J. H., SCHEPERS, P., & WIJLHUIZEN, G. J. (2021). The safety of physically separated cycle tracks compared to marked cycle lanes and mixed traffic conditions in Amsterdam. European Journal of Transport & Infrastructure Research, 21(3), 19–37. https://doi.org/10.18757/ejtir.2021.21.3.5283
   Web of Science ®Google Scholar
• VON Stülpnagel, R., & Binnig, N. (2022). How safe do you feel? – a large-scale survey concerning the subjective safety associated with different kinds of cycling lanes. Accident Analysis & Prevention, 167, 106577. https://doi.org/10.1016/j.aap.2022.106577
   PubMed Web of Science ®Google Scholar
• WERNER, C., RESCH, B., & LOIDL, M. (2019). Evaluating urban bicycle infrastructures through intersubjectivity of stress sensations derived from physiological measurements. ISPRS International Journal of Geo-Information, 8(6), 265. https://doi.org/10.3390/ijgi8060265
   Web of Science ®Google Scholar
• ZEILE, P., HAUG, N., SCHMIDT-HAMBURGER, C., MOTZER, N., MOSER, M., & RESCH, B. (2023). Emotion sensing for (E-)bicycle safety and mobility comfort. Journal of Digital Landscape Architecture, 381–389. , https://doi.org/10.14627/537740041
   Google Scholar
• ZEILE, P., RESCH, B., LOIDL, M., Dörrzapf, L., & Dörrzapf, L. (2016). Urban emotions and cycling experience – enriching traffic planning for cyclists with human sensor data. SciInternational Journal of Geographical Information Science, 4(1), 204–216. https://doi.org/10.1553/giscience2016_01_s204
   Google Scholar
• ZHANG, B., Morère, Y., SIELER, L., LANGLET, C., BOLMONT, B., & BOURHIS, G. (2016). Stress recognition from heterogeneous data. Journal of Image and Graphics, 4(2), 116–121. https://doi.org/10.18178/JOIG.4.2.116-121
   Google Scholar