| Under the background of new-type urbanization,county towns have become the main spatial carrier of population residence and employment in counties.Especially in the more developed counties,the spatial scale of county towns and cities is constantly expanding,and the housing and employment space is undergoing reconstruction.County economy in Shandong is typical and representative in the whole country.Based on the theoretical research framework,this thesis selects Longkou City,the top 100 counties in Shandong,as the object of empirical research.Starting from two levels of administrative and functional areas,it analyzes the synergistic characteristics and influencing factors of job-housing in Longkou urban area from multiple perspectives,and puts forward targeted optimization strategies.The main conclusions are as follows:1)On the basis of theoretical reference and characteristic analysis of developed counties in Shandong Province,a theoretical analysis framework of job-housing collaboration between non-agricultural employees in developed counties in Shandong Province is proposed,which is "two levels + four perspectives,two dimensions + five indicators".First,the two aspects refer to the research and analysis at the administrative level and functional area level respectively,and the four perspectives refer to the overall perspective,street perspective,industrial perspective and living area perspective.Secondly,two dimensions plus five indicators are the key points and operation keys of the research content of the spatial collaboration between vocational and residential areas in developed counties.Among them,the two dimensions are static and dynamic.In the specific operation,four indicators including population of occupation and housing,land used for occupation and housing,commuting time and commuting distance are used for analysis.In addition,a fifth indicator--occupation and housing coordination index is constructed to conduct comprehensive measurement of occupation and housing coordination in Spaces from different perspectives.2)From the administrative level analysis,the overall job-housing coordination of Longkou urban district presents a good level,which is better than that of the city and towns.By calculating the job-housing coordination index,the value of job-housing coordination index in Longkou City is 1.55,which is lower than that in towns and villages,2.38.At the same time,from the perspective of subdistrict,most of the five streets in Longkou City have good coordination between job and housing,but there are differences among different streets.The level of coordination between job and housing in order from high to low is: Longgang >Xufu > Donglai > Xinjia > Dongjiang.Among them,in terms of the five indicators,Dongjiang and Xinjia streets show the characteristics of polarization,and the coordination between jobs and housing is low.Among them,Dongjiang Sub-district ranks the first in job-housing co-index value(2.05),and ranks the first in job-housing population index(0.42)and occupation-housing land index(1.49),indicating that its employment function is prominent,and the commuting ratio within 10 minutes and 3 kilometers ranks the fourth,which also reflects its relatively low commuting efficiency.On the other hand,the residential function of Xinjia street is more prominent,and a large number of residents in the area go out for employment,which leads to the low coordination between work and residence.3)From the perspective of functional area level,the work-residential coordination level of living area is better than that of industrial area.According to the calculation,the job-housing coordination index of the high-tech zone is 3.76,indicating average coordination,while the job-housing coordination index of Xicheng District is 1.54,indicating good coordination.Further from the analysis of the other four indicators,the vocational housing population index(1.05)and vocational housing land index(1.72)of the high-tech zone are higher than Xicheng district(0.31 vocational housing population index and 0.71 vocational housing land index),indicating that compared with Xicheng district,its employment function is prominent.Meanwhile,the commuting indexes within 10 minutes and 3 km are 40.9% and50.2% respectively,both lower than those in Xicheng District(52.6% and 58.8%,respectively),while the proportion of long-distance commuting is higher(21.5% in high-tech zone VS 3.2%in Xicheng District),indicating that non-agricultural employees in high-tech zone have a higher proportion of inter-regional commuting and lower commuting efficiency.4)The common influencing factors under the two measurement methods are: gender,residence type,commuting mode,commuting satisfaction,and walking time to the nearest bus stop.Among them,the influence of residence type,commuting mode and commuting satisfaction is consistent,all of which are positive,while the influence of gender is negative.Among all the influencing factors,the residence type of non-farm employed people showed the most significant influence,and non-farm employed people living in urban areas had a higher possibility of realizing job-housing coordination.Among the commuting modes,the more non-motorized commuting mode is adopted,the higher the possibility of realizing work-residence coordination is.Among gender types,compared with men,women are less likely to realize job-housing coordination.The influence of walking time to the nearest bus stop is different,which is specifically manifested as: 6-10 min samples under the time measure have a positive influence on the job-residential coordination;6-10 min and 11-15 min samples under the distance measure have a positive influence on the job-residential coordination.In addition,the job-housing coordination under distance measurement is also affected by income level,showing a positive influence.In this thesis,taking Longkou as an example to study job-housing coordination indeveloped county towns in Shandong province,the characteristics of job-housing coordination were analyzed not only from the perspective of the whole and the street at the administrative level,but also from the perspective of the industrial zone and the living area at the functional area level.At the same time,based on the time measure,distance measure two methods to analyze the synergistic influence factors of urban employment and housing.Finally,countermeasures and suggestions are put forward respectively from the overall,street and functional areas,which can not only provide reference for the local government to make policies,but also provide reference for similar studiesin similar areas in the future. |