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| SPATIAL DISTRIBUTION AND INFLUENCING MECHANISM OF LONG-TERM APARTMENTS: A CASE STUDY OF SHENZHEN |
| YANG Gao1, JIN Wan-fu1, LIN Hao-yu1, LUO Ren-ze2, ZHOU Chun-shan3 |
1. School of Cultural Tourism and Geography, Guangdong University of Finance and Economics, Guangzhou 510320, China;
2. China Academy of Urban Planning and Design Shenzhen, Shenzhen 518040, China;
3. School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China |
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Abstract As an emerging form of housing market, long-term apartment is an important guarantee for implementing the national housing policy of "rent and purchase simultaneously". Taking Shenzhen as an example, based on the data of long-term apartments, population, supporting service facilities and semi-structured interviews, this paper focuses on the spatial distribution and influencing mechanism of long-term apartments through kernel density, nearest neighbor distance, spatial autocorrelation, multiple regression and geographical weighted regression. The findings are as follows: 1) The spatial distribution of long-term apartments in Shenzhen shows the characteristics of spatial agglomeration, distance attenuation and type differentiation. 2） The spatial distribution of long-term apartments in Shenzhen is affected by traffic, location, population, industrial parks and land rent. Furthermore, the influence of the subway station gradually decreases from east to west, the influence of the supermarket mall gradually decreases from west to east, and the influence of population gradually decreases from north to south. 3) Finally, using land rent theory and new consumer theory, from the perspective of supply and demand, combined with three different types of economic zones in Shenzhen and five influencing factors in spatial distribution, this paper constructs the influencing mechanism of the spatial distribution of long-term apartments in Shenzhen.
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Received: 05 November 2021
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2023, Vol. 38 
