Home| Contact Us| New Journals| Browse Journals| Journal Prices| For Authors|

Print ISSN: 0976-9005
Online ISSN:
0976-9013


  About JIC
  DLINE Portal Home
Home
Aims & Scope
Editorial Board
Current Issue
Next Issue
Previous Issue
Sample Issue
Upcoming Conferences
Self-archiving policy
Alert Services
Be a Reviewer
Publisher
Paper Submission
Subscription
Contact us
 
  How To Order
  Order Online
Price Information
Request for Complimentary
Print Copy
 
  For Authors
  Guidelines for Contributors
Online Submission
Call for Papers
Author Rights
 
 
RELATED JOURNALS
Journal of Digital Information Management (JDIM)
International Journal of Computational Linguistics Research (IJCL)
International Journal of Web Application (IJWA)

 

 
Journal of Intelligent Computing
 

Detecting Green Roads by using Open Routes
Christina Ludwig, Eva-Marie Schömann, Sven Lautenbach, Alexander Zipf
GIScience Research Group Institute of Geography, Heidelberg University Germany., Heidelberg Institute for Geoinformation Technology (HeiGIT) gGmbH at Heidelberg University Germany., GIScience Research Group, Institute of Geography, Heidelberg University
Abstract: The roads which are characterized by green effect are preferred by both pedestrians as well as by vehicle drivers. Using openrouteservice, we have evaluated the green routes and find the extent of greenery in these roads. With the help of OpenStreetMap, we have measured the greenness in the roads for which we used imagery and three dimensional data. . We studied the impact both at the level of the individual route and at the urban level for then cities. For individual routes, we find how strongly green routes differ from the respective fast routes. Besides, we measured the parts of the road network which represent important green corridors as well as unattractive parts which can or cannot be avoided at the cost of reasonable detours. During analysis we found that the significance of green spaces for the provision of attractive green routes and provide new insights for urban planning.
Keywords: Routing, Openstreetmap, Route Choice, Urban Vegetation, Sustainable Mobility Detecting Green Roads by using Open Routes
DOI:https://doi.org/10.6025/jic/2021/12/4/122-134
Full_Text   PDF 1.02 MB   Download:   200  times
References:

[1] Anowar, Sabreena., Eluru, Naveen., Hatzopoulou, Marianne. (2017). Quantifying the value of a clean ride: How far would you bicycle to avoid exposure to traffic-related air pollution? Transportation Research Part A: Policy and Practice, 105: 66– 78, doi:10.1016/j.tra. 2017.08.017.
[2] Barron Christopher., Neis Pascal., Alexander Zipf. (2014). A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis. Transactions in GIS, 18(6) 877–895, doi: 10.1111/tgis.12073.
[3] Scott Chamberlain., Andy Teucher. (2021). geojsonio: Convert Data from and to ’GeoJSON’ or ’TopoJSON’, 2021. R package version 0.9.4. URL: https://CRAN.R-project.org/package= geojsonio.
[4] Degrossi, Lívia Castro., Albuquerquem, João Porto de., Rocha, Roberto dos Santos, Zipf, ALexander. (2017). A Framework of Quality Assessment Methods for Crowdsourced Geographic Information: a Systematic Literature Review. In: Proceedings of the 14th ISCRAM Conference, pages 21–24, 2017. Issue: May.
[5] Dickinson, Dawn C., Hobbsm, Richard J. (2017). Cultural ecosystem services: Characteristics, challenges and lessons for urban green space research. Ecosystem Services, 25: 179–194.
[6] Dijkstra, E W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1:269–271, 1959.
[7] German Aerospace Center (DLR). Land Cover DE - Sentinel-2 - Germany, 2015, 2020. doi:10.15489/1ccmlap3mn39.
[8] Gómez-Baggethun, Erik., Gren, Åsa., Barton, David N. (2013). Johannes Langemeyer, Timon McPhearson, Patrick O’farrell, Erik Andersson, Zoé Hamstead, and Peleg Kremer. Urban ecosystem services. In Urbanization, biodiversity and ecosystem services: Challenges and opportunities, pages 175–251. Springer, Dordrecht, 2013. doi:10.1007/978-94-007-7088-1.
[9] P. Grubitzsch, S. Lißner, S. Huber, and T. Springer, 2021. Accessed: 23.4.2021. URL: https://www.mcloud.de/web/guest/suche/-/results/suche/relevance/MOVEBIS/0/ detail/ECF9DF02-37DC-4268-B017-A7C2CF302006.
[10] Hart, Peter E., Nillson, Nils J. and Bertram Raphael. (1968). A Formal Basis for the Heuristic Determination of Minimum Cost Paths. IEEE transactions on Systems Science and Cybernetics, 4 (2) 100– 107, 1968. URL: https:// www.cs.auckland.ac.nz/compsci767s2c/projectReportExamples. d/astarNilsson.pdf.
[11] Hecht, Robert., Meinel, Gotthard., Buchroithner, Manfred F. (2008). Estimation of urban green volume based on single pulse lidar data. IEEE Transactions on Geoscience and Remote Sensing, 46 (11), 3832–3840, 2008. doi:10.1109/TGRS.2008.2001771.
[12] Houlden, Victoria., Weich, Scott., Porto de Albuquerque, João. (2018). Stephen Jarvis, and Karen Rees. The relationship between greenspace and the mental wellbeing of adults: A systematic review. PLOS ONE, 13 (9): e0203000, September
2018. doi:10.1371/journal.pone.0203000.
[13] Johnson, Isaac., Henderson, Jessica., Perry, Caitlin., Schöning, Johannes., Hecht, Brent. (2017). Beautiful. . . but at what cost? an examination of externalities in geographic vehicle routing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1( 2), 1– 21, doi:10.1145/3090080.
[14] Kassambara, Alboukadel. (2020). ggpubr: ’ggplot2’ Based Publication Ready Plots, 2020. R package version 0.4.0. URL: https://CRAN.R-project.org/package=ggpubr.
[15] Kondo, Michelle., Fluehr, Jaime., McKeon, Thomas. Branas, Charles. (2018). Urban green space and its impact on human health. International Journal of Environmental Research and Public Health, 15 (3), 445. doi:10.3390/ijerph15030445.
[16] Krellenberg, Kerstin., Welz, Juliane., Reyes-Päcke, Sonia. (2014). Urban green areas and their potential for social interaction–a case study of a socio-economically mixed neighbourhood in Santiago de Chile. Habitat International, 44:11–21, 2014.
[17] Lausen, Anna. (2020). Analyse der Verwendbarkeit von OSM Daten für ein grünes Routing am Beispiel Dresden. Bachelor’s thesis, Heidelberg University, Institute of Geography, Heidelberg, Germany, January 2020.
[18] Lega, Claudia. (2021). Christopher Gidlow, Marc Jones, Naomi Ellis, and Gemma Hurst. The relationship between surrounding greenness, stress and memory. Urban Forestry & Urban Greening, 59:126974, 2021. doi:10.1016/j.ufug.2020.126974.
[19] Ludwig, Christina., Hecht, Robert., Lautenbach, Sven., Schorcht, Martin., Zipf, Alexander. (2021). Mapping Public Urban Green Spaces Based on OpenStreetMap and Sentinel-2 Imagery Using Belief Functions. ISPRS International Journal of Geo-Information, 10 (4), 251, April. doi:10.3390/ijgi10040251.
[20] Maas, J. (2006). Green space, urbanity, and health: how strong is the relation? Journal of Epidemiology & Community Health, 60 (7), 587–592, July. doi:10.1136/jech.2005.043125.
[21] Philip McArthur, David., Hong, Jinhyun. (2019). Visualising where commuting cyclists travel using crowdsourced data. Journal of transport geography, 74: 233–241, 2019. doi:10.1016/j. jtrangeo.2018.11.018.
[22] Pascal, Neis., Zipf, Alexander. (2008). Openrouteservice.org is three times “open”: Combining OpenSource, OpenLS and OpenStreetMaps. In GIS Research UK (GISRUK 08). Manchester.
[23] Novack, Tessio., Wang, Zhiyong., Zipf, Alexander. (2018). A system for generating customized pleasant pedestrian routes based on openstreetmap data. Sensors, 18 (11), 3794, 2018.
[24] Park, Yujin., Akar, Gulsah. (2019). Why do bicyclists take detours? a multilevel regression model using smartphone gps data. Journal of transport geography, 74:191–200, 2019.
[25] Pebesma, Edzer. (2018). Simple Features for R: Standardized Support for Spatial Vector Data. The R Journal, 10 (1), 439–446, 2018. doi:10.32614/RJ-2018-009.
[26] Pimpinella, Andrea,, Redondi, Alessandro E. C., Cesana, Matteo. (2019). Walk this way! an IoT-based urban routing system for smart cities. Computer Networks, 162:106857, 2019. doi:10.1016/j.comnet.2019.07.013.
[27] R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2021. URL: https://www.R-project.org/.
[28] Raifer, Martin., Troilo, Rafael., Kowatsch, Fabian., Auer, Michael., Loos, Lukas., Marx, Sabrina., Przybill, Katharina ., Fendrich, Sascha., Mocnik, Franz-Benjamin., Zipf, Alexander. (2019). OSHDB: a framework for spatio-temporal analysis of OpenStreetMap history data. Open Geospatial Data, Software and Standards, 4 (1), 2019. doi:10.1186/s40965-019-0061-3.
[29] Rehrl, Karl., Kranzinger, Stefan., Gröchenig, Simon. (2021). Which quality is a route? a methodology for assessing route quality using spatio-temporal metrics. Transactions in GIS, 25 (2), 869–896, doi:10.1111/tgis.12705.
[30] Rodríguez, Daniel A., Merlin, Louis., Prato, Carlo G., Conway, Terry L., Cohen, Deborah., Elder, John P., Evenson, Kelly R., McKenzie, Thomas L., Pickrel, Julie L., Veblen-Mortenson, Sara. (2015). Influence of the built environment on pedestrian route choices of adolescent girls. Environment and Behavior, 47 (4), 359–394, 2015. doi:10.1177/0013916513520004.
[31] Schetke, Sophie., Qureshi, Salman., Lautenbach, Sven., Kabisch, Nadja. (2016). What determines the use of urban green spaces in highly urbanized areas? – Examples from two fast growing Asian cities. Urban Forestry & Urban Greening, 16:150–
159, 2016. doi:10.1016/j.ufug.2016.02. 009.
[32] Senaratne, Hansi., Mobasheri, Amin., Ali, Ahmed Loai., Capineri, Cristina., Haklay, Mordechai (Muki). (2017). A review of volunteered geographic information quality assessment methods. International Journal of Geographical Information Science, 31 (1), 139–167, doi:10.1080/13658816.2016.1189556.
[33] Seneviratne, P. N., Morrall, J. F. (1985). Analysis of factors affecting the choice of route of pedestrians. Transportation Planning and Technology, 10(2):147–159, 1985. doi:10.1080/ 03081068508717309.
[34] Sharker, Monir H., Karimi, Hassan A. (2014). Computing least air pollution exposure routes. International Journal of Geographical Information Science, 28 (2), 343–362. doi:10.1080/ 13658816.2013.841317.
[35] Siriaraya, P., Wang, Y., Zhang, Y., Wakamiya, S., Jeszenszky, P., Kawai, Y., Jatowt, A. (2020). Beyond the shortest route: A survey on quality-aware route navigation for pedestrians. IEEE Access, 8:135569–135590, 2020. Conference Name: IEEE Access. doi:10.1109/ACCESS.2020.3011924.
134 Journal of Intelligent Computing Volume 12 Number 4 December 2021
[36] Duncan Temple Lang. RCurl: General Network (HTTP/FTP/...) Client Interface for R, 2021. R package version 1.98-1.3. URL: https://CRAN.R-project.org/package=RCurl.
[37] Tost, Heike., Reichert, Markus., Braun, Urs., Reinhard, Iris., Peters, Robin., Lautenbach, Sven., Hoell, Andreas., Schwarz, Emanuel., Ebner-Priemer, Ulrich., Zipf, Alexander., Meyer- Lindenberg, Andreas. (2019). Neural correlates of individual differences in affective benefit of real-life urban green space exposure. Nature Neuroscience, 2019. doi:10.1038/s41593-019-0451-y.
[38] Weinstein Agrawal, Asha., Schlossberg, Marc., Irvin, Katja. (2008). How far, by which route and why? a spatial analysis of pedestrian preference. Journal of Urban Design, 13 (1), 81–98. doi:10.1080/13574800701804074.
[39] Wickham, Hadley. (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016. URL: https:/ /ggplot2.tidyverse.org. [40] Wickham, Hadley., Averick, Mara., Bryan, Jennifer., Chang, Winston., McGowan, Lucy D’Agostino., François, Romain., Grolemund, Garrett., Hayes, Alex., Henry, Lionel., Hester, Jim., Kuhn, Max., Pedersen, Thomas Lin., Miller, Evan., Bache, Stephan Milton., Müller, Kirill., Ooms, Jeroen., Robinson, David., Seidel, Dana Paige., Spinu, Vitalie., Takahashi, Kohske., Vaughan, Davis., Wilke, Claus., Woo, Kara., Yutani, Hiroaki., Welcome to the tidyverse. Journal of Open Source Software, 4 (43), 1686. doi:10.21105/joss.01686.
[41] Zou, Bin., Li, Shenxin., Zheng, Zhong., Zhan, Benjamin F., Yang, Zhonglin., Wan, Neng. (2020). Healthier routes planning: A new method and online implementation for minimizing air pollution exposure risk. Computers, Environment and Urban Systems, 80:101456. doi:10.1016/j.compenvurbsys.2019.101456.


Home | Aim & Scope | Editorial Board | Author Guidelines | Publisher | Subscription | Previous Issue | Contact Us |Upcoming Conferences|Sample Issues|Library Recommendation Form|

 

Copyright © 2011 dline.info