The distribution relationship between urban land-use type and industry units in the central urban area of Tonghua City
Reasonable industry land-supply and intensive industry land-use are formed on the premise of knowing about details of regional industry and distribution relationships between land and industry units.Here,we report the spatial autocorrelation conditions of urban land and industry units and their spatial distribution using the central urban area of Tonghua City as an example.We found that the distribution of urban land and industry units shows a positive spatial autocorrelation and that Moran' s I decreases with an increase in weighted distance.Spatial autocorrelation of mining warehouse land,residential land,commercial services land and public managementservices land is significant,as is wholesale and retail,public management social security and folk organizations and other commercial service industry units.Manufacturing,mining and other public service industry units distribute randomly across the study area.All industry units can be incorporated into secundiparity units,tertiary industry units and nonprofit units;in correspondence with mining warehouse land,commercial services land and public management-service land respectively.The attributes of industry units in Tonghua mostly match the land they are located within.Hybrid functional areas should be established for mismatches with reasonable existence,but most mismatches should be avoided by strengthening industry land-use review.Designation and regulation of pillar industry land-use would support and guide industrial development based on regional industry structure.The future spatial distribution of Tonghua steel-smelting units should be more focused and eventually form a scale industrial land zone.Pharmacy and wine-making industry land should be transferred outside the central area and gradually gather in the pillar industry band.
industry landindustrial structurespatial autocorrelationTonghua City
李文博、王冬艳、李红、姜珊、石璞、刘蜀涵、陆红
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吉林大学地球科学学院,长春130061
Institute of Terrestrial Ecosystems, Swiss Federal Institute of Technology Zurich
NETL
NSTL
万方数据
维普
