From Polysemous Affect to City Integration: The Definition Thinking and Frontier Method to Radiation Realm of City Rail Transit Station
- 371 Downloads
After gradually planned into city built area, urban rail transit stations have been fusing development with original space, which resulting in a series of new phenomena, problems, and rules need to research deeply and optimizing. As the carrier of event, a precise definition of the radiation realm of transit stations is basic to in-depth knowledge. After the analysis of traditional definition method to radiation realm, academic research sums up the characteristics of “influence” of station to the surrounding city space, which concluded multi-dimensional, multi-level, interactive, timeliness. Based on the platform of Anylogic and ArcGIS, the authors put forward the concept of influenced urban realm around station and finally establish the frontier method of definition after rethinking the rules of definition in integrated thinking, in order to provide a solid foundation to progressive solving the problems in the realm of different levels, and the whole city sustainable development.
KeywordsUrban rail transit Radiation range of station Influenced urban realm around station Anylogic Arcgis
This research was supported by National Natural Science Foundation of China (Project No. 51478055), Foundation and Frontier Research Project of Chongqing (Grant No. cstc2015jcyjA00047) and Chongqing Graduate Student Research Innovation Project (Project No. CYB14016).
- Hyungun Sung, Keechoo Choi, Sugie Lee, SangHyun Cheon: Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership. Journal of Transport Geography. 36, 134–140 (2014)Google Scholar
- Heungsoon Kim, Jaehyeong Nam: The size of the station influence area in Seoul, Korea: based on the survey of users of seven stations. International Journal of Urban Sciences. 17, 331–349 (2013)Google Scholar
- Sungyop Kim, Gudmundur F. Ulfarsson, J. Todd Hennessy: Analysis of light rail rider travel behavior: Impacts of individual, built environment, and crime characteristics on transit access. Transportation Research Part A. 41, 511–522 (2007)Google Scholar
- Sean O’Sullivan, John Morrall: Walking distances to and from light-rail transit stations. Transportation Research Record. 1538, 19–26 (1996)Google Scholar
- Robert Cervero: Transit-based housing in California: evidence on ridership impacts. Transport Policy. 1, 174–183 (1994)Google Scholar
- Helbing D., Molnar P.: Social force model for pedestrian dynamics. Physical Review E. 51, 4282–4286 (1995)Google Scholar
- Lenntorp B.: A time-geography simulation model of individual activity programmes. In: Carlstein, T., Parks, D. and Thrift, N. (eds.) Timing space and spacing time. Human activity and time geography, vol. 2, pp. 162–180. Enwai’d Amold, London (2006)Google Scholar
- Kwan M. P.: Gender and individual access to urban opportunities:A study using space-time measures. Professional Geographer. 51, 210–227 (1999)Google Scholar
- Liao Mingjun, Li Keping, Wang Kaiying: Review on Pedestrian Traffic Micro-simulation (in Chinese). Journal of Wuhan University of Technology(Transportation Science & Engineering). 1, 180–183 (2010)Google Scholar
- Chu Dongzhu, Lin Yanyu: A Preliminary Exploration of the Microscopic Simulation of Pedestrian Connection Behavior in Influenced Urban Realm around Rail Transit Stations (in Chinese). Architectural Journal. 3, 24–29 (2015)Google Scholar
- Tang Guoan, Yang Xin: ArcGIS Geographic Information System spatial analysis experiment course. Science Press, Beijing (2012)Google Scholar