Abstract
Mobile communication technology has recently become applicable in tracking surveys of individual travel behaviour in urban space. This is due to an increase in capacity to collect more precise time and location data of moving objects. This paper presents a study of a tracking survey system, which uses the location positioning function of a PHS (Personal Handy phone System) to collect travel data from 96 spectators at a Sumo tournament held in Osaka. It is shown that the space-time distribution map of location positioning data is useful in understanding the concentration and dispersion of travel demand in a day. A simulation-based methodology is proposed which involves multiplying the 96 samples by thousands of spectators. A number of profiles of hypothetical spectators were generated using the probability distribution of the sampled spectators. Another simulation model was developed to estimate the movement of spectators at a match held at a different venue. The probability distributions of the original samples were also used to generate spectator’ profiles. These profiles were then put into a railway network simulator that described the movement of spectators and the quality of railway services in a congested situation. Case studies in the Osaka Nagai Stadium were examined to evaluate the congestion reduction policies at railway stations near the stadium. Along with guiding spectators to the less congested stations, sub-attractions in the stadium after the game were also found to be effective in reducing peak time congestion at popular stations.
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References
Asakura, Y., Hato, E. Nishibe, Y., Daito, T., Tanabe, J. and Koshima, H. (1999). Monitoring Travel Behaviour using PHS Based Location Positioning Service System, Proc. of the 6thITS World Congress in Toronto, CD-ROM.
Asakura, Y. and Hato, E. (2000). Analysis of Travel Behaviour using Positioning Function of Mobile Communication Devices, Travel Behaviour Research; the Leading Edge, Hensher, D. (ed.) Pergamon, pp885–899.
Asakura, Y., Okamoto, A., Suzuki, A., Lee, Y.H. and Tanabe, J. (2001). Monitoring Individual Travel Behaviour using PEAMON: a Cellular Phone Based Location Positioning Instrument Combined with Acceleration Sensor, Paper submitted to the 8thITS World Congress in Sydney.
Asakura, Y. and Hato, E. (2001.a). Possibility of Using Location Positioning Data with Mobile Phones in Management of Concentrating Travel Demand, Paper presented the Symposium on Infrastructure Planning held at Tsukuba, 9 pages (in Japanese).
Asakura, Y. and Hato, E. (2001.b). Rethinking Urban Travel Measurement, Proc. of Asia GIS Symposium in Tokyo.
Axhausen, K. (1998). Can We Ever Obtain the Data We Would Like to Have?, Theoretical Foundations of Travel Choice Modeling(A), Pergamon Press, pp305–334.
Battelle Transportation Division (1997). Lexington Area Travel Data Collection Test: Global Positioning Systems for Personal Travel Surveys, Final Report to FHWA (Federal Highway Administration). http://www.fhwa.dot.gov/ohim/trb/reports.htm
Beckman, R.J., Baggerly, K.A. and McKay M.D. (1996). Creating Synthetic Baseline Populations, Transportation Research A, Vol.30, No.6, pp415–429.
D’Este, G.M., Zito, R. and Taylor, M.A.P. (1999). Using GPS to Measure Traffic System Performance, Journal of Computer-Aided Civil and Infrastructure Engineering, 14, pp273–283.
Fijii, S., Otsuka, Y., Kitamura, R. and Monma, T. (1997). A Micro-Simulation Model System of Individual’s Daily Activity Behaviour that Incorporates Spatial, Temporal and Coupling Constraints. Infrastructure Planning Review, No.14, pp643–652.
LOCUS (1999). Location Information Services by Portable Phone Networks, http://www.locus.ne.jp/regular/e/locus2.system.htm
Murakami, E. and Wagner, D.P. (1999). Can Using Global Positioning System (GPS) Improve Trip Reporting?, Transportation Research C, Vol.7, pp149–165.
Zito, R., D’Este, G. M. and Taylor, M.A.P. (1995). Global Positioning Systems in the Time Domain: How Useful a Tool for Intelligent Vehicle-Highway Systems?, Transportation Research C. Vol.3, No.4, pp 193–209.
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Asakura, Y., Hato, E., Sugino, K. (2005). Simulating Travel Behaviour using Location Positioning Data Collected with A Mobile Phone System. In: Kitamura, R., Kuwahara, M. (eds) Simulation Approaches in Transportation Analysis. Operations Research/Computer Science Interfaces Series, vol 31. Springer, Boston, MA. https://doi.org/10.1007/0-387-24109-4_7
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DOI: https://doi.org/10.1007/0-387-24109-4_7
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