01475766

Component

This paper presents a public transport demand model incorporating land use density, diversity, design, and accessibility to examine the relationship between public transport demand and land use characteristics in the Sydney Greater Metropolitan Area. A Geographically Weighted Regression approach is employed to identify the spatial variation of the land use variables and their impacts on public transport demand at a Travel Zone level. The global model of Geographically Weighted Regression suggests that increasing land use density and walkability as well as providing a better accessibility to the Sydney Central Business District have positive impacts on public transport demand. The local model of Geographically Weighted Regression shows that the impacts of the land use characteristics on public transport demand distinctively vary spatially, and the estimated parameters may have different signs in some areas as compared to the global model. This paper highlights the way in which the relationship between travel demand and land use is heterogenous over geographical space which cannot be captured by conventional multivariate regression models.

This paper was sponsored by TRB committee AP025 Public Transportation Planning and Development.

01470560

13-0317

English

16p

2013

Transportation Research Board 92nd Annual Meeting

Digital/other

Figures; Maps; References; Tables

Accessibility; Case studies; Demand; Land use; Land use models; Population density; Public transit; Regression analysis; Walkability

Geographically weighted regression

Sydney (Australia)

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

Transportation Research Board Annual Meeting 2013 Paper #13-0317

TRIS, TRB, ATRI

Feb 5 2013 12:12PM