Geography Reference
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Fang, Z. X., Tu, W., Li, Q. Q., & Li, Q. P. (2011). A multi-objective approach to scheduling joint
participation with variable space and time preferences and opportunities. Journal of Transport
Geography, 19 (4), 623-634.
Fang, Z. X., Shaw, S.-L., Tu, W., Li, Q. Q., & Li, Y. G. (2012). 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.
Gärling, T., Brännäs, K., Garvill, J., Golledge, R. G., Gopal, S., & Holm, E. (1989). Household
activity scheduling. In World Conference on Transport Research (Ed.), Transport policy man-
agement and technology towards 2001 (Vol. IV, pp. 235-248). Ventura: Western Periodicals.
Hägerstrand, T. (1970). What about people in regional science? Papers of the Regional Science
Association, 24 (1), 7-24.
Hájek, J., Szöllös, A., & Šístek, J. (2010). A new mechanism for maintaining diversity of
Pareto archive in multi-objective optimization. Advances in Engineering Software, 41 (7-8),
1031-1057.
Islam, M. S. (2010). Measuring people's space-time accessibility to urban opportunities - An
activity-based spatial search algorithm in a GIS. International Journal of Urban Sustainable
Development, 2 (1-2), 107-120.
Joh, C. H. (2004). Measuring and predicting adaptation in multidimensional activity travel
patterns . Den Haag: CIP-Data Koninklijke Bibliotheek.
Joh, C. H., Arentze, T. A., & Timmermans, H. J. P. (2001). Understanding activity scheduling and
rescheduling behaviour: Theory and numerical illustration. GeoJournal, 53 (4), 359-371.
Kuijpers, B., & Othman, W. (2009). Modeling uncertainty of moving objects on road networks
via space-time prisms. International Journal of Geographical Information Science, 23 (9),
1095-1117.
Kuijpers, B., Miller, H. J., Neutens, T., & Othman, W. (2010). Anchor uncertainty and space-time
prisms on road networks. International Journal of Geographical Information Science, 24 (8),
1223-1248.
Kwan, M. P., & Hong, X. D. (1998). Network-based constraints-oriented choice set formation
using GIS. Geographical Systems, 5 (1), 139-162.
Lenntorp, B. (1976). Path in space-time environments: A time-geographic study of the movement
possibilities of individuals (Lund studies in geography B). Lund: CWK Gleerup.
McQuoid, J., & Dijst, M. (2012). Bringing emotions to time geography: The case of mobilities of
poverty. Journal of Transport Geography, 23 , 26-34.
Miller, H. J. (1991). Modelling accessibility using space-time prism concepts within geograph-
ical information systems. International Journal of Geographical Information Systems, 5 (3),
287-301.
Miller, E. J., & Roorda, M. J. (2003). Prototype model of household activity/travel schedul-
ing. Transportation Research Record: Journal of the Transportation Research Board, 1831 ,
114-121.
Murugan, P., Kannan, S., & Baskar, S. (2009). NSGA-II algorithm for multi-objective generation
expansion planning problem. Electric Power Systems Research, 79 (4), 622-628.
Newell, K. M., Carlton, L. G., & Kim, S. (1994). Time and space-time movement accuracy. Human
Performance, 7 (1), 1-21.
Nijland, L., Arentze, T., & Timmermans, H. (2012). Incorporating planned activities and events in
a dynamic multi-day activity agenda generator. Transportation, 39 (4), 791-806.
Olaru, D., & Smith, B. (2002). Modelling daily activity schedules with fuzzy logic. In: The 24th
conference of Australian Institutes of Transport Research (CAITR2002), Sydney, Australia
(pp. 1-9).
Ronald, N., Arentze, T., & Timmermans, H. (2012). Modeling social interactions between
individuals for joint activity scheduling. Transportation Research Part B: Methodological,
46 (2), 276-290.
Roorda, M. J., Carrasco, J. A., & Miller, E. J. (2009). An integrated model of vehicle transactions,
activity scheduling and mode choice. Transportation Research Part B, 43 (2), 217-229.
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