CPGIS Workshop for Junior and Future Faculty
Organized and Chaired by Lin Liu, University of Cincinnati
Date: 2010-06-19
This workshop is designed to train junior faculty members and students who are inspired to become future faculty members how to survive and thrive in academic institutions. It covers the most important issues pertaining to research, grants, publications, teaching, advising, team work, promotion and tenure. The workshop consists of presentations by renowned professors from U.S. and China. It also serves as a venue for participants to have in-depth discussions with the speakers.
- How to prepare to become a faculty member? Lin Liu, University of Cincinnati
- How to prepare for promotion and tenure? Bin Li, Central Michigan University
- How to present and teach effectively? Guoan Tang, Nanjing Normal University
- How to publish your research and write successful grant proposal? Qiming Zhou, Hongkong Baptist University
- How to advise graduate students? Xia Li, Sun Yat-sen University
- How to work in a team environment? Jianya Gong, Wuhan University
Topological analysis of urban street networks for better understanding human mobility patterns
Instructor
Bin Jiang
Date: 2010-06-17
Division of Geomatics, The Royal Institute of Technology Research School,
University of Gävle, SE-801 76 Gävle, Sweden
Email:
This e-mail address is being protected from spambots. You need JavaScript enabled to view it
, Web: http://fromto.hig.se/~bjg
Aims/Learning objectives
- To introduce topological analysis based on a set of theories including space syntax, small world and scale free networks
- To further develop the understanding of human mobility behavior and patterns from the topological perspective
Description of topics
Different topological representations of urban streets, and a series of topological metrics for structural analysis of urban streets
Impact of street topological structure on human mobility behavior and patterns
Scope of the workshop
You will learn:
- Space syntax principle from the large- and small-scale space perspective,
- Small world and scale free properties of urban street networks,
- Operation of some freeware software for calculating topological metrics,
- How to uncover human mobility patterns from massive GPS trajectories data, and
- How to adopt topological analysis for better understanding human mobility behavior
Outline of the workshop
Conventional street network analysis is much geometry oriented in nature in the sense of accurate geometric locations and distances involved. While remaining an important means for spatial analysis, the geometry oriented network analysis suffers from a major disadvantage that is unable to get insight into the underlying structure of street networks. This workshop will introduce topological analysis based on a variety of topology oriented theories including space syntax, small world, and scale free networks. In comparison to the geometric approach, topological analysis provides a new perspective or a new paradigm towards a better understanding of geographic space, or more precisely the discrete network constrained space.
The workshop will start with why topology matters in GIS, and then introduce topological analysis methodology. In this connection, a series of space syntax inspired topological analyses are introduced and applied to both urban and nationwide streets for uncovering underlying structure of street networks, e.g., small world and scale free properties. The uncovered structure is then linked to human mobility behavior or patterns observed from massive GPS trajectories data and annual average daily traffic. For instance, it is observed that human mobility exhibits Levy flight behavior - a kind of random walk behavior statistically different from Brownian motion.
This discussion of the linkage between structure and dynamics will lead to a better understanding of complex geographic phenomena, which have shown persistent modeling interest in geographic domains. Beyond the street networks, we will further discuss how the kind of topological analysis be applied to other spatial objects. To enhance understanding the principles of topological analysis and modeling, hands-on exercises will be conducted using some specialized software.
Keywords
Street networks, space syntax, small world theory, scale-free networks, human dynamics, mobility patterns
Target Audience Information
PhD students or fresh PhD holders (within 3 years) in geographic information science/systems
Prerequisite knowledge of audience
Intended audience must have an intermediate through advanced understanding of geography and cartography, and be familiar with fundamental concepts and techniques of geographic information systems.
Instruction language
English
References
- Barabási A.-L. (2005), The origin of bursts and heavy tails in human dynamics, Nature, 435, 207 – 211.
- Barabási A.-L. and Albert R. (1999), Emergence of scaling in random networks, Science, 286, 509 – 512.
- Brockmann D., Hufnage L., and Geisel T. (2006), The scaling laws of human travel, Nature, 439, 462 – 465.
- Frank A, Raper J, and Cheylan J-P (eds. 2001), Life and Motion of Socio-Economic Units, Taylor and Francis: London.
- Gonzalez M., Hidalgo C. A., and Barabási A.-L. (2008), Understanding individual human mobility patterns, Nature, 453, 779 – 782.
- Hillier B. and Hanson J. (1984), The Social Logic of Space, Cambridge University Press: Cambridge.
- Jiang B. (2007), A topological pattern of urban street networks: universality and peculiarity, Physica A: Statistical Mechanics and its Applications, 384, 647 – 655.
- Jiang B. (2009), Ranking spaces for predicting human movement in an urban environment, International Journal of Geographical Information Science, 23.7, 823–837, Preprint, arxiv.org/abs/physics/0612011.
- Jiang B. (2009), Street hierarchies: a minority of streets account for a majority of traffic flow, International Journal of Geographical Information Science, 23.8, 1033-1048, Preprint, arxiv.org/abs/0802.1284.
- Jiang B. and Claramunt C. (2004), Topological analysis of urban street networks, Environment and Planning B: Planning and Design, 31, 151- 162.
- Jiang B. and Liu C. (2009), Street-based topological representations and analyses for predicting traffic flow in GIS, International Journal of Geographical Information Science, 23.9, 1119–1137, Preprint, arxiv.org/abs/0709.1981.
- Jiang B. and Liu X. (2009), Automatic generation of the axial lines of urban environments to capture what we perceive, International Journal of Geographical Information Science, x, xx-xx, Preprint, arxiv.org/abs/0811.4489.
- Jiang B. and Liu X. (2009), AxialGen: a research prototype for automatically generating the axial map, Preprint, arxiv.org/abs/0902.0465.
- Jiang B., Yin J. and Zhao S. (2009), Characterizing human mobility patterns in a large street network, Physical Review E, 80, 021136, Preprint, arXiv:0809.5001.
- Jiang B., Zhao S., and Yin J. (2008), Self-organized natural roads for predicting traffic flow: a sensitivity study, Journal of Statistical Mechanics: Theory and Experiment, July, P07008, Preprint, arxiv.org/abs/0804.1630.
- Page L., and Brin S. (1998), The anatomy of a large-scale hypertextual Web search engine, Proceedings of the seventh international conference on World Wide Web 7, 107-117.
- Rhee I., Shin M., Hong S., Lee K., and Chong S. (2008), On the Lévy-walk nature of human mobility: do humans walk like monkey? INFOCOM, Phoenix, AZ, US.
- Stewart H. K. and Yuan M. (eds. 2008), Understanding Dynamics of Geographic Domains, CRC Press: New York.
- Tomko M., Winter S. and Claramunt C. (2008), Experiential hierarchies of streets, Computers, Environment and Urban Systems, 32.1, 41 – 52.
- Watts D. J. and Strogatz S. H. (1998), Collective dynamics of 'small-world' networks, Nature, 393, 440-442.
|