Abstract：2-step floating catchment area(2SFCA) series methods were successfully applied in measuring the accessibility of the health care facilities, green space and other public services. As a common advantage, these methods consider the balanced demand-supply relationship of service seekers and providers. If treating the jobs/positions as public services, the job accessibility is very similar to the issues of medical accessibility or green space accessibility. The case study demonstrated the effectiveness of Gaussian based 2SFCA in the study of job accessibility, and analyzed the spatial pattern of job accessibility in Shenyang and its formation mechanism at the mean time. Referred to the spatial pattern of the job accessibility, the spatial distribution of job accessibility in Shenyang is unbalanced, and presents core-periphery structure apparently. Besides, we also found that the job accessibilities of old districts are higher than new districts, northern part are higher than southern part, and eastern part are higher than western part. In addition, we also have an interesting finding that the core area of high job accessibility has an apparent trend to extend to the south of the city. And the shape of the core area forms a corridor shape due to the extending process, which coincide the shape, position and the scope of the spatial strategy of "golden corridor" promoted by the city government of Shenyang. Four reasons result in this pattern, including:1) the monocentric urban morphology; 2) the function oriented layout of urban planning; 3) Residential suburbanization; 4) old city reconstruction and policy-related house; 5) the spatial block of geographical features such as river or railway. Finally, this paper proposed four advices to alleviate this problem and promote the balance between jobs and housing.
王绮, 修春亮, 魏冶, 张林静. 基于高斯两步移动搜索法的沈阳市就业可达性评价[J]. 人文地理, 2015, 30(2): 78-82.
WANG Qi, XIU Chun-liang, WEI Ye, ZHANG Lin-jing. EVALUATION OF JOB ACCESSIBILITY OF SHENYANG USING GAUSSIAN BASED 2-STEP FLOATING CATCHMENT AREA METHOD. HUMAN GEOGRAPHY, 2015, 30(2): 78-82.
