01478516

Component

Land development models are often the weakest part of land use transport interaction models. This is partly because decisions on implementing real estate development projects are seldom recorded. In this context, the term project means a prepared plan for creating new space in the form of one or more buildings. Since the authors are interested in explaining the development of built space using discrete choice modeling, knowing about the decisions on projects would be ideal. However, registers are more likely to have information on existing buildings rather than data on project decisions. If the register contains the year of construction, this can be used as proof of a development decision. Unfortunately, registers do not include information on how many buildings were constructed in the same project. This paper discusses the issue of missing information on projects using parcel-based development location choice models. These models are being used in the implementation of an UrbanSim land use transport model for the Canton of Zurich in Switzerland. The purpose of the development location choice models is to locate development events generated by a transition model to update alternative locations for household and firm location choice models. To discover the effect, if any, of missing information about projects, the authors compare the parameters estimated on two different databases for each of four development location choice models. One database contains construction projects with multiple buildings, while the other contains only single buildings. The authors' conclusion is that using building registers is a viable option if no data on development projects is at hand, especially, if there are few projects with multi buildings in the considered area. However, register data often does not contain information on projects, which can lead to biased parameters because the size of the considered development events is too small.

This paper was sponsored by TRB committee ADB40(2) Integrated Transportation and Land Use Modeling.

01470560

13-3552

English

16p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

References; Tables

Choice models; Data collection; Databases; Estimation theory; Land use models; Location; Real estate development; Registers

UrbanSim (Computer model)

Switzerland

Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2013 Paper #13-3552

TRIS, TRB, ATRI

Feb 5 2013 12:42PM