超大城市边缘区土地整治适宜性评价研究——以广州增城为例

Suitability Evaluation of Land Remediation of Megacities Subsidiary Area ——A Case Study of Guangzhou Zengcheng

随着经济社会的发展和人口的不断涌入,超大城市不断向周边附属区域扩张,盲目扩张加剧了附属城区的人地矛盾,由于相应的规划和管理措施不到位,造成了特大城市附属市区出现大量散乱、废弃、闲置、低效利用的建设用地。对上述土地整治的适宜性进行评价,根据评价的结果对建设用地进行适当的整理势在必行。本文根据极差地租理论,在充分考虑整治潜力和整治难度的基础上,采用模糊数学的原理建立了土地整治适宜性的评价模型。该模型在指标选取和权重确定方面都充分考虑了民意影响因素,将评价结果分为适宜、较适宜、一般适宜、不适宜四个等级。在对广州增城土地整治适宜性的实际评价应用中,将初步筛选的208个整治潜力地块,共538.38 ha,最终确定为适宜整治级别的有130个地块,面积257.71 ha,占47.87%;较适宜级别的有68个地块,面积为103.78 ha、占19.28%;一般适宜级别的有7个地块,面积为45.89 ha,占8.52%;不适宜级别的有3个地块,面积130.99 ha,占24.33%。该评价模型在实际应用中切实可行。

In recent years, megacities keep expendtothe area around them with the continuous development of economic and social and the influx population.Blind expansion exacerbated conflicts of the people and the land around the city, and due to lack of planning and management measures, resulting in a large number of scattered, abandoned, idle, inefficient use of construc- tion land. Proper land managementofconstruction land is impera- five, which is according to the evaluation results. A land reclama- tion suitability evaluation model was established by the principle of fuzzy mathematics, based on the poor rent theory and fully con- sidered the potential remediation and remediation difficult. The model takes into account the public opinion in the index selection and weight determination. The evaluation results are divided into four levels, including suitable, more appropriate, generally appro- pilate, and inappropriate. Land remediation suitability of 208 plots in Guangzhou Zengeheng were evaluated by the model, and even- tually identified as the appropriate level of regulation has 130 plots, area 3865.71 acres, accounting for 47.87%; more appropri- ate level have 68 plots with an area of 1556.74 acres, accounting for 19.28%; generally suitable level has seven plots, an area of 688.37 acres, accounting for 8.52%; there are three levels of un- suitable land, an area of 1964.85 acres, accounting for 24.33%. The evaluation model is feasible in praetical applications.