Estimating And Optimizing Floorspace Data For Intergrated Land Use Transport Model

With rapid socioeconomic development and urbanization,land constraint,traffic congestion and environmental pollution have restricted the sustainable development of cities.Because of the strong interaction between land use and transportation in urban system,many cities are beginning to develop Integrated Land-Use Transport Models(ILUTM).These models take into account the dynamic interactions between urban activity and transportation demand,which influence location choice,land-use and land development through accessibility measures over a long term.Due to the fact that most socio-economic activities originate from the built infrastructure,therefore,it is important to provide accurate building/floorspace data for long-term modeling and planning purpose.However,at present,methods for accurately estimating/synthesizing floorspace data are still not available.First of all,this thesis introduces the concept of the floorspace,presents the relationship between floorspace and population/employment,which provides a theoretical basis for the estimation models of space use coefficients.Based on the population and employment data obtained from the census and the City of Wuhan,several models based on simple gradient method and genetic algorithm for estimating space use coefficients at different spatial aggregation levels are developed to synthesize spatial distribution of various types of floorspace.This thesis takes the City of Wuhan as an example,space use estimation models based on the simple gradient method and genetic algorithm are developed and tested with the empirical floorspace(total by zones),popuplation and employment data of the city.The results show that the models based on the genetic algorithm is more accurate and its accuracy is 29.6% higher than the simple gradient method at the most disaggregate spatial level.The average error is 8.3% for the most disaggregate case over the entire case study area,where the city is divided into 690 TAZs,and the average error reduces to 6.0%,if only taking the urban areas into consideration.It is shown that the estimated model developed in this thesis has its theoretical and practical value,which can provide synthesized floorspace data to support the development of Integrated Land-Use Transport Models.