Biography

Prof. Shih-Lung Shaw

Department of Geography

University of Tennessee, Knoxville, USA


Email: [email protected]


Qualifications

1986 Ph.D., Geography, The Ohio State University

1983 M.A., Geography, The Ohio State University

1979 B.S., Geography, National Taiwan University


Publications (selected)

  1. Zhao, B., Feng, J., Sun, Y., Chang, X., & Shaw, S. L. (2024). Neural sensing: Toward a new approach to understanding emotional responses to place. Transactions in GIS, 28(7), 2463-2475.
  2. Feng, J., Zhao, B., & Shaw, S. L. (2024). The study of emotion in GIScience: status and prospects. Cartography and Geographic Information Science, 1-16.
  3. Shaw, S. L. (2023). Time geography in a hybrid physical–virtual world. Journal of Geographical Systems, 25(3), 339-356.
  4. Sui, D., & Shaw, S. L. (2022). New human dynamics in the emerging metaverse: Towards a quantum phygital approach by integrating space and place (vision paper). In 15th international conference on spatial information theory (COSIT 2022). Schloss-Dagstuhl-Leibniz Zentrum für Informatik.
  5. Shaw, S. L., & Sui, D. (2021). Understanding the new human dynamics in smart spaces and places: Toward a splatial framework. In Smart Spaces and Places (pp. 7-16). Routledge.
  6. Fang, Z., Shaw, S. L., Yang, B., Santi, P., & Tu, W. (2021). Integrated environmental and human observations for smart cities. Environment and Planning B: Urban Analytics and City Science, 48(6), 1375-1379.
  7. Xu, Y., Li, X., Shaw, S. L., Lu, F., Yin, L., & Chen, B. Y. (2020). Effects of data preprocessing methods on addressing location uncertainty in mobile signaling data. Annals of the American Association of Geographers, 111(2), 515-539.
  8. Feng, M., Shaw, S. L., Peng, G., & Fang, Z. (2020). Time efficiency assessment of ship movements in maritime ports: A case study of two ports based on AIS data. Journal of transport geography, 86, 102741.
  9. Zhao, Z., Shaw, S. L., Yin, L., Fang, Z., Yang, X., Zhang, F., & Wu, S. (2019). The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data. International Journal of Geographical Information Science, 33(7), 1471-1495.
  10. Jiang, J., Li, Q., Tu, W., Shaw, S. L., & Yue, Y. (2019). A simple and direct method to analyse the influences of sampling fractions on modelling intra-city human mobility. International Journal of Geographical Information Science, 33(3), 618-644.
  11. Xu, Y., Shaw, S. L., Zhao, Z., Yin, L., Lu, F., Chen, J., ... & Li, Q. (2018). Another tale of two cities: Understanding human activity space using actively tracked cellphone location data. In Geographies of mobility (pp. 246-258). Routledge.
  12. Chen, J., Pei, T., Shaw, S. L., Lu, F., Li, M., Cheng, S., ... & Zhang, H. (2018). Fine-grained prediction of urban population using mobile phone location data. International Journal of Geographical Information Science, 32(9), 1770-1786.
  13. 2015. Xu, Y., Shaw, S-L., Zhao, Z., Yin, L., Fang, Z. and Li. Q. Understanding aggregate human mobility patterns using passive mobile phone location data – a home-based approach, Transportation, 42(4), 625-646.
  14. 2015. Shaw, S-L. Geographic information systems for transportation, in D. Richardson (ed.), The International Encyclopedia of Geography: People, the Earth, Environment, and Technology. Hoboken, NJ: Wiley, in press.
  15. 2015. Chan, T-C., Pai, P-L., Shaw, S-L. and Fan, I-C. Spatiotemporal evolution of market towns in the Jiangnan area during the Ming-Qing dynasties of China, Historical Methods: A Journal of Quantitative and Interdisciplinary History, 48(2), 90-102.
  16. 2015. Miller, H. and Shaw, S-L. Geographic information systems for transportation in the 21st century, Geography Compass, 9(4), 180-189.
  17. 2015. Yin, L. and Shaw, S-L. Exploring space-time paths in physical and social closeness spaces: a space-time GIS approach, International Journal of Geographical Information Science, 22(4), 409-430.
  18. 2015. Fang, Z., Shaw, S-L., Tu, W. and Li, Q. Spatiotemporal critical opportunity and link identification for joint participation scheduling, in M-P. Kwan, D. Richardson, D. Wang and C. Zhou (eds.), Space-Time Integration in Geography and GIScience. New York, NY: Springer, 109-126.
  19. 2015. Zhao, Z., Shaw, S-L. and Wang, D. A space-time raster GIS data model for spatiotemporal analysis of vegetation responses to a freeze event, Transactions in GIS, 19(1), 151-168.
  20. 2014. Lindley, L.C. and Shaw, S-L. Who are the children enrolled in hospice care? Journal for Specialists in Pediatric Nursing, 19(4), 308-315.
  21. 2014. Shaw, S-L. Geographic information systems in transportation, in M. Garrett (ed.), Encyclopedia of Transportation: Social Science and Policy. Thousand Oaks, CA: SAGE Publications, 618-621 (http://dx.doi.org/10.4135/9781483346526).
  22. 2014. Pei, T., Sobolevsky, S., Ratti, C., Shaw, S-L., Li, T. and Zhou, C. A new insight into land use classification based on aggregated mobile phone data, International Journal of Geographical Information Science, 28(9), 1988-2007.
  23. 2014. Shaw, S-L., Fang, Z., Lu, S. and Tao, R. Impacts of the high speed rail on railroad network accessibility in China, Journal of Transport Geography, 40, 112-122.
  24. 2014. Zhang, X., Li, Q., Fang, Z., Lu, S. and Shaw, S-L. An assessment method for landmark recognition time in real scenes, Journal of Environmental Psychology, 40, 206-217.
  25. 2014. Xiao, J., Li, W., Liu, G., Shaw, S-L. and Zhang, Y. Hierarchical tone mapping based on image colour appearance model, IET Computer Vision, 8(4), 358-364.
  26. 2014. Shaw, S-L and Fang, Z. Rethinking human behavior research from the perspective of space-time GIS, Geomatics and Information Science of Wuhan University, 39(6), 667-670 (in Chinese).
  27. 2014. Tu, W., Fang, Z., Li, Q., Shaw, S-L. and Chen, B. A Bi-level Voronoi Diagram-Based Metaheuristic for a Large-Scale Multi-Deport Vehicle Routing Problem, Transportation Research Part E: Logistics and Transportation Review, 61, 84-97.
  28. 2013. Chen, B.Y., Yuan, H., Li, Q., Lam, W.H.K., Shaw, S-L. and Yan, K. Map-matching algorithm for large-scale low-frequency floating car data, International Journal of Geographical Information Science, 28(1), 22-38.
  29. 2013. Chen, B.Y., Li, Q., Wang, D., Shaw, S-L., Lam, W.H.K., Yuan, H. and Fang, Z. Reliable space-time prisms under travel time uncertainty, Annals of the Association of American Geographers, 103(6), 1502-1521.
  30. 2013. Fang, Z., Li, Q., Li, Q., Han, L. and Shaw, S-L. A space-time efficiency model for optimizing intra-intersection vehicle-pedestrian evacuation movements, Transportation Research Part C: Emerging Technologies, 31, 112-130.
  31. 2013. Fang, Z., Tu, W., Li, Q., Shaw, S-L, Chen, S. and Chen, B. A Voronoi neighborhood-based search heuristic for distance/capacity constrained very large vehicle routing problems, International Journal of Geographical Information Science, 27(4), 741-764.
  32. 2013. Pei, T., Gong, X., Shaw, S-L., Ma, T. and Zhou, C. Clustering of temporal event processes, International Journal of Geographical Information Science, 27(3), 484-510.
  33. 2012. Shaw, S-L. Guest Editorial Introduction: Time geography – its past, present and future, Journal of Transport Geography, 23, 1-4.
  34. 2012. Fang, Z., Shaw, S-L., Tu, W., Li, Q. and Li, Y. Spatiotemporal analysis of critical transportation links based on time geographic concepts: a case study of critical bridges in Wuhan, China, Journal of Transport Geography, 23, 44-59.
  35. 2012. Fang, Z., Li, Q., Zhang, X. and Shaw, S-L. A GIS data model for landmark-based pedestrian navigation, International Journal of Geographical Information Science, 26(5), 817-838.
  36. 2012. Li, Q., Shaw, S-L., Fang, Z. and Yang, B. (eds.) Technology and Research Frontiers of Geographic Information Systems for Transportation. Beijing, China: Science Press (in Chinese, 319 pages).
  37. 2012. Yin, L., Shaw, S-L., Wang, D., Carr, E., Berry, M., Gross, L. and Comiskey, J. A framework of integrating GIS and parallel computing for spatial control problems – a case study of wildfire control, International Journal of Geographical Information Science, 26(4), 621-641.
  38. 2011. Shaw, S-L. Guest Editorial - Geographic information systems for transportation: an introduction, Journal of Transport Geography, 19(3), 377-378.
  39. 2011. Chen, J., Shaw, S-L., Yu, H., Lu, F., Chai, Y. and Jia, Q. Exploratory data analysis of activity diary data: a space-time GIS approach, Journal of Transport Geography, 19(3), 394-404.
  40. 2011. Yin, L., Shaw, S-L. and Yu, H. Potential effects of ICT on face-to-face meeting opportunities: A GIS-based time-geographic exploratory approach, Journal of Transport Geography, 19(3), 422-433.
  41. 2011. Wong, D. and Shaw, S-L. Measuring segregation: an activity space approach, Journal of Geographical Systems, 13(2), 127-145.
  42. 2011. Yu, H. and Shaw, S-L. GIS designs for studying human activities in a space-time context, in T. Nyerges, H. Couclelis, and R. McMaster (eds.), Handbook of GIS and Society. Thousand Oaks, CA: SAGE Publications, 251-268.
  43. 2010. Shaw, S-L. Geographic information systems for transportation: from a static past to a dynamic future, Annals of GIS, 16(3), 129-140.
  44. 2010. Fang, Z., Shaw, S-L. and Li, Q. A sensitive indicator of regional space-time accessibility, Annals of GIS, 16(3), 155-164.
  45. 2010. Chai, Y., Kwan, M-P. and Shaw, S-L. Guest Editorial - Time geography and urban planning: an introduction, Urban Planning International, 6, 1-2 (in Chinese).
  46. 2010. Shaw, S-L. Implications of location-based service on human activities, Communications of the China Computer Federation, 6(6), 32-37 (in Chinese).
  47. 2010.  Tang, L., Li, Q., Chang, X., Shaw, S-L. and Zhao, Z. Modeling of taxi drivers’ experience for routing applications, Science in China Series E: Technological Sciences, 53, 44-51.


Profile Details:

http://geography.utk.edu/about-us/faculty/dr-shih-lung-shaw/
https://scholar.google.com/citations?user=RXx_OuwAAAAJ&hl=en
https://www.researchgate.net/profile/Shih-Lung-Shaw
https://orcid.org/0000-0001-6157-5519

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