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| SPATIAL RECONSTRUCTION OF BEICHUAN RUINED COUNTRY TOWN POST-EARTHQUAKE BASED ON COLLECTIVE MEMORY THEORY |
| QIAN Li-li1,2, ZHANG Jie1, ZHENG Chun-hui3, ZHANG Hong-lei1, GUO Yong-rui4, YAN Bin-jing5 |
1. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China;
2. School of Business, Zhejiang University City College, Hangzhou 310000, China;
3. School of Tourism, Guangzhou University, Guangzhou 511400, China;
4. School of History Culture and Tourism, Jiangsu Normal University, Xuzhou 221116, China;
5. School of Business Administration, Nanjing University of Finance & Economics, Nanjing 210046, China |
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Abstract Collective memory is related with time and space, which plays an important role in arousing the relationship between people and place and building sense of place. Thus, it is an important theory for the studies of post-disaster recovery and place reconstruction.This paper takes the ruined country town of Beichuan, which was the most stricken area in 5.12 Wenchuan earthquake, as a study case, and local residents as study samples, to explore the aroused collective memory of local residents post-quake through questionnaires and interviews. Through the method ofmental map and spatial analysis of GIS, itexplores the differences among the official exhibition space, collective cognition-emotion space and collective behaviors space of local residents, which reflects the interaction mechanism between the official exhibition space and the locals' mental space through collective memory. The study also discovers the contents of locals' collective memory, finds that the daily life memory before quake, and the disaster memoryafter quake mixed together, which contribute to complex emotions, includingsorrow, fear, sympathize, calm, yearning, happy, grateful, pride and so on. Although the specific spacestriggerthe negative emotion mostly, the residents are still full of highly positive sense of place attachment and place identity towards the whole town.
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Received: 13 March 2018
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2018, Vol. 33 
