ANALYSIS ON THE STRUCTURAL EVOLUTION AND INFLUENCING FACTORS OF URBAN CONSTRUCTION LAND IN THE THREE NORTHEASTERN PROVINCES
This paper aims at studying the structural evolution of urban construction land and its mechanism and at allocating appropriate construction land, and presents theoretical supports and policy suggestions for the Three Northeastern Provinces to make urban land planning. Urban construction land is divided into Category R (residential), Category M (logistic warehouse and industrial), Category C (public management and public services, commercial service, public infrastructure), Category S (road, green land and square land) according to “Urban Construction Statistics Yearly”. Information entropy and shift-share analysis are employed to study their construction land structural evolution in 34 Northeastern cities by means of GIS spatial analysis. Since 2002, their construction land size has been rising at a annual rate 4.14%, most contributed by Categories C and S with increasement by 3.29% and 5.51%, respectively compared with 2002. Category R has a least increment among the four categories at a falling trend. Cities with shift effect positively adjusting role on share effect Categories M, C and S have significantly increased in counts, suggesting a rationalizing urban construction land structure in the Northeastern cities. Their construction land structure has had little change with a relatively stability in their proportions among the four categories since 2012. Improvements in industrial structural, urban transportation and urban residential conditions plays a strong role on construction land structural evolution in the Northeastern cities. Appropriate urban construction land structure may boost urban functionalities. Fulfilling comprehensive use efficiency of urban construction land can intensify a modern urban construction. This paper presents suggestions on making appropriate land use policies with priority on land types with growing advantages, diminishing excessive land types and activating the land stock for more rationalized construction land structure in the Northeastern cities.
As internet grows fast, network is becoming a vent of environmental interests conflict of major water projects, the public irrational awareness of their environmental impacts is readily to form network rumor so as to enlarge its social risk. This paper uses environmental damage rumor to explore its transmitting mechanism of major water projects in interaction of government-media-public, and quantitatively studies the impacts of rumor during network transmission on risk management via its hyperspatiotemporal, multiple subjectivity and universality, and discusses paths to governmental governance and prevention of social risks. Matlab simulation suggests that measures such as refuting rumor speed, intensity and information openness vary with rumor transmitting group, stages, information causes and importance. This paper presents suggestions accordingly.