References
- Batty, M. (2007). Cities and complexity: Understanding cities with cellular automata, agent-based models, and fractals. The MIT press.
- Benenson I., & Torrens, PM. (2004). Geosimulation: object-based modeling of urban phenomena. Computers Environment and Urban Systems, 28(1–2), 1–8.
- Billings, S. B., Leland, S., & Swindell, D. (2011). The effects of the announcement and opening of light rail transit stations on neighborhood crime. Journal of Urban Affairs, 33(5), 549–566. https://doi.org/10.1111/j.1467-9906.2011.00564.x
- Boavida-Portugal, I., Rocha, J., & Ferreira, C. C. (2016). Exploring the impacts of future tourism development on land use/cover changes. Applied Geography, 77, 82–91. https://doi.org/10.1016/j.apgeog.2016.10.009
- Borshchev, A., & Filippov, A. (2004, July). From system dynamics and discrete event to practical agent based modeling: Reasons, techniques, tools. Proceedings of the 22nd International Conference of the System Dynamics Society, Oxford, England, UK (Vol. 22).
- Bourne, L., & Walker, D. H. (2005). Visualising and mapping stakeholder influence. Management decision.
- Burton, R., (ed.). (1995). ‘Tourism and the environment’, in ‘Travel geography’ (2nd ed.). Pitman Publishing.
- Chen, Y.-T. (2012). Develop Kaohsiung Asia’s New Harbour Integrated development plan of land use and rail construction, Kaohsiung city government, Urban development, 13, 44–78. Research, Development and Evaluation Commission, Kaohsiung City Government.
- Cunha, S. K. D., & Cunha, J. C. D. (2005). Tourism cluster competitiveness and sustainability: Proposal for a systemic model to measure the impact of tourism on local development. BAR-Brazilian Administration Review, 2(2), 47–62. https://doi.org/10.1590/S1807-76922005000200005
- Dittmar, H., & Ohland, G. (Eds.). (2012). The new transit town: Best practices in transit-oriented development. Island Press.
- Fontoura, W. B., Chaves, G. D. L. D., & Ribeiro, G. M. (2019). The Brazilian urban mobility policy: The impact in São Paulo transport system using system dynamics. Transport Policy, 73, 51–61. https://doi.org/10.1016/j.tranpol.2018.09.014
- Giuliano, G. (1995). The weakening transportation-land use connection. Access Magazine, 1(6), 3–11.
- Grimm, V., Berger, U., DeAngelis, D. L., Polhill, J. G., Giske, J., & Railsback, S. F. (2010). The ODD protocol: A review and first update. Ecological Modelling, 221(23), 2760–2768. https://doi.org/10.1016/j.ecolmodel.2010.08.019
- Guo, D., Ren, B., & Wang, C. (2008, December). Integrated agent-based modeling with GIS for large scale emergency simulation. International Symposium on Intelligence Computation and Applications (pp. 618–625). Springer, Berlin, Heidelberg.
- Guzman, L. A., de la Hoz, D., & Monzon, A. (2014). Optimal and long-term dynamic transport policy design: Seeking maximum social welfare through a pricing scheme. International Journal of Sustainable Transportation, 8(4), 297–316. https://doi.org/10.1080/15568318.2012.696772
- Haghshenas, H., Vaziri, M., & Gholamialam, A. (2015). Evaluation of sustainable policy in urban transportation using system dynamics and world cities data: A case study in Isfahan. Cities, 45, 104–115. https://doi.org/10.1016/j.cities.2014.11.003
- Han-ping, C. (2016). Analysis of circular light rail (Phase I) and its influence on urban development. Kaohsiung Mass Rapid Transit Cooperation, Kaohsiung City Government.
- Hung, K. Y., Lin, M. H., & Hsueh, S. L. (2018). A study on tourism development strategy of Kaohsiung City in Taiwan after urban style regeneration. KnE Social Sciences.
- Institute of Transportation. (2011). 2011 highway capacity manual in Taiwan (In Chinese). Institute of Transportation, Ministry of Transportation and Communications R.O.C. https://mail.tku.edu.tw/yinghaur/lee/hwy-new/2011%E5%B9%B4%E8%87%BA%E7%81%A3%E5%85%AC%E8%B7%AF%E5%AE%B9%E9%87%8F%E6%89%8B%E5%86%8A(PBA039).pdf
- Johnson, P., Nicholls, S., Student, J., Amelung, B., Baggio, R., Balbi, S., & Pons, M. (2017). Easing the adoption of agent-based modelling (ABM) in tourism research. Current Issues in Tourism, 20(8), 801–808. https://doi.org/10.1080/13683500.2016.1209165
- Kaohsiung Rapid Transit Cooperation. (2019). Statistics by Kaohsiung light rail transit. Kaohsiung City Government. https://corp.krtc.com.tw/eng/News/statistics?id=2
- Knowles, R. (1992). Light rail transit development in Britain. Geography, 77(1), 80–83. https://www.jstor.org/stable/40572149
- Knowles, R. D., & Abrantes, P. (2008). Buses and light rail: Stalled en route? In Docherty, I., & Shaw, J. (Eds.), Traffic jam: ten years of 'sustainable' transport in the UK (pp. 97–116). Policy Press.
- Kravets, P. (2010, April). The control agent with fuzzy logic. 2010 Proceedings of VIth International Conference on Perspective Technologies and Methods in MEMS Design, Lviv, Ukraine (pp. 40–41). IEEE.
- Lau, G., & McKercher, B. (2006). Understanding tourist movement patterns in a destination: A GIS approach. Tourism and Hospitality Research, 7(1), 39–49. https://doi.org/10.1057/palgrave.thr.6050027
- Le-Klähn, D. T., Hall, C. M., & Gerike, R. (2014). Analysis of visitor satisfaction with public transport in Munich. Journal of Public Transportation, 17(3), 5. https://doi.org/10.5038/2375-0901.17.3.5
- Lindenau, M., & Böhler-Baedeker, S. (2014). Citizen and stakeholder involvement: A precondition for sustainable urban mobility. Transportation Research Procedia, 4, 347–360. https://doi.org/10.1016/j.trpro.2014.11.026
- Morecroft, J. D. (2015). Strategic modelling and business dynamics: A feedback systems approach. John Wiley & Sons.
- Niedzielski, M. A., & Malecki, E. J. (2012). Making tracks: Rail networks in world cities. Annals of the Association of American Geographers, 102(6), 1409–1431. https://doi.org/10.1080/00045608.2011.601212
- Robinson, D. T., Murray-Rust, D., Rieser, V., Milicic, V., & Rounsevell, M. (2012). Modelling the impacts of land system dynamics on human well-being: Using an agent-based approach to cope with data limitations in Koper, Slovenia. Computers, Environment and Urban Systems, 36(2), 164–176. https://doi.org/10.1016/j.compenvurbsys.2011.10.002
- Roukouni, A., Basbas, S., & Kokkalis, A. (2012). Impacts of a metro station to the land use and transport system: The Thessaloniki Metro case. Procedia-Social and Behavioural Sciences, 48, 1155–1163. https://doi.org/10.1016/j.sbspro.2012.06.1091
- Sabounchi, N. S., Triantis, K. P., Sarangi, S., & Liu, S. (2014). Dynamic simulation modeling and policy analysis of an area-based congestion pricing scheme for a transportation socioeconomic system. Transportation Research Part A: Policy and Practice, 59, 357–383. http://dx.doi.org/10.1016/j.tra.2013.11.007
- Shah, Y., Manaugh, K., Badami, M., & El-Geneidy, A. (2013). Diagnosing transportation: Developing key performance indicators to assess urban transportation systems. Transportation Research Record, 2357(1), 1–12. https://doi.org/10.3141/2357-01
- Shailes, A., Senior, M. L., & Andrew, B. P. (2001). Tourists’ travel behaviour in response to congestion: The case of car trips to Cornwall, United Kingdom. Journal of Transport Geography, 9(1), 49–60. https://doi.org/10.1016/S0966-6923(00)00033-8
- Shepherd, S. P. (2014). A review of system dynamics models applied in transportation. Transportmetrica B: Transport Dynamics, 2(2), 83–105. https://doi.org/10.1080/21680566.2014.916236
- Sorokowska, A., Sorokowski, P., Hilpert, P., Cantarero, K., Frackowiak, T., Ahmadi, K., & Blumen, S. (2017). Preferred interpersonal distances: A global comparison. Journal of Cross-Cultural Psychology, 48(4), 577–592. https://doi.org/10.1177/0022022117698039
- Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world (1st ed.). McGraw-Hill.
- Subedi, P., Subedi, K., & Thapa, B. (2013). Application of a hybrid cellular automaton–Markov (CA-Markov) model in land-use change prediction: A case study of Saddle Creek Drainage Basin, Florida. Applied Ecology and Environmental Sciences, 1(6), 126–132. https://doi.org/10.12691/aees-1-6-5
- Takada, T., Miyamoto, A., & Hasegawa, S. F. (2010). Derivation of a yearly transition probability matrix for land-use dynamics and its applications. Landscape Ecology, 25(4), 561–572. https://doi.org/10.1007/s10980-009-9433-x
- Vafa-Arani, H., Jahani, S., Dashiti, H., & Heydari, J. (2014). A system dynamics modeling for urban air pollution: A case study of Tehran. Transportation Research Part D: Transport and Environment, 31(1), 21–36. https://doi.org/10.1016/j.trd.2014.05.016
- Van Der Bijl, R., Van Oort, N., & Bukman, B. (2018). Light rail transit systems: 61 lessons in sustainable urban development. Elsevier.
- Wang Z., & Deisboeck T.S. (2008). Computational modeling of brain tumors: discrete, continuum or hybrid?. In: Yip S., de la Rubia T.D. (eds) Scientific Modeling and Simulations. Lecture Notes in Computational Science and Engineering, vol 68. Dordrecht: Springer. https://doi.org/10.1007/978-1-4020-9741-6_20
- Wen, L., & Bai, L. (2017). System dynamics modeling and policy simulation for urban traffic: A case study in Beijing. Environmental Modeling & Assessment, 22(4), 363–378. https://doi.org/10.1007/s10666-016-9539-x
- Xu, J., Yang, J., & Yao, L. (2012). Transportation structure analysis using SD-MOP in world modern garden city: A case study in China (Vol. (2012). Discrete Dynamics in Nature and Society.
- Yang, Y., Zhang, P., & Ni, S. (2014). Assessment of the impacts of urban rail transit on metropolitan regions using system dynamics model. Transportation Research Procedia, 4, 521–534. https://doi.org/10.1016/j.trpro.2014.11.040