| Today,China’s reform and opening-up has gone through 40 years.Shenzhen Special Economic Zone has been a pioneer and a pacesetter in China’s reform and opening-up and socialist modernization.However,in the process of rapid urban development,the urban spatial pattern is gradually unbalanced,and the phenomenon of job-housing spatial mismatch appears,which leads to a series of urban problems such as traffic congestion and environmental pollution.It hinders the people’s pursuit of a better life.Clarifying the degree of job-housing spatial mismatch and its forming factors in Shenzhen can provide certain reference information for the future planning of the city,promote the healthy development of the city,and improve the happiness of people’s life.Portable mobile phones are one of the most important items for people today.The mobile signaling big data generated by mobile phones records people’s life and travel trajectory.Using these data,people’s commuting characteristics can be analyzed,so as to summarize the spatial structure characteristics of urban occupation and residential.Selection of Shenzhen city as the study area,this paper use Unicom mobile phone signaling big data,supplemented by administrative data of National People’s Congress,administrative districts,Scott maps with site traffic data,HOME LINK net rental price data,etc.The main work of this paper is as follows:(1)The obtained data was preprocessed and the coordinates were unified in CGCS2000_3_Degree_GK_CM_114E.(2)The mobile signaling big data obtained can be used to identify the residence and work place of permanent residents through SQL arithmetic,and the travel mode and travel time of users can be obtained statistically,so as to obtain the peak hours of residents’ commuting.Based on this calculation,the average commuting distance and average commuting time,outgoing commuting rate and external commuting rate,job-housing ratio,independence index and wasteful commuting in the community were analyzed.(3)Taking community as the scale,this paper selected and quantified five evaluation indexes of job-housing spatial mismatch to constructed a job-housing spatial mismatch model for analyzing and evaluating the degree of job-housing spatial mismatch in Shenzhen.Combined with GIS spatial analysis methods,the accuracy of the analysis model was verified from different perspectives such as commuting OD and residential population density distribution,which provided an effective data basis for the subsequent construction of the simulation model for correcting the spatial mismatch of employment and housing.(4)Based on these influencing factors,the corrected job-housing spatial mismatch simulation model was constructed by decision tree based on CART algorithm,which was used to predict the future development direction of job-housing spatial mismatch in Shenzhen,and put forward scientific and reasonable decision basis for urban overall planning.The study reached the following key conclusions:(1)On the whole,Shenzhen has a serious mismatching degree of job-housing space.(2)The spatial mismatch of job and housing in Shenzhen community is hierarchical and intersecting.In the central urban areas,such as Nanshan District,Futian District,Luohu District and so on,the number of communities with mismatched job-housing space is relatively large,while the number of communities with matched job-housing space is relatively large in the far urban areas.In addition,the intersectionality is reflected in the existence of a certain number of jobhousing space matching communities in the central urban area.(3)The mismatch of jobhousing space distributed zonally in the western part of Shenzhen.(4)The resident commuting OD matrix and resident population distribution verified the results of the jobhousing space mismatch model,which ensured the accuracy of the model and proved the feasibility of the model construction.(5)The simulation model of work-residential space mismatch correction is of practical significance.It can predict the development direction of occupational and residential spatial mismatch in Shenzhen,and provide certain reference value for future urban planning and development from the perspective of influencing factors of the formation of occupational and residential spatial mismatch. |