In this paper we explore how satellite images of global night lights from the years 2001 to 2007 can be used to estimate economic activity at the sub-regional level in the U.S., India and China. The night lights based estimates of economic activity are then spatially analyzed and compared with...

This paper investigates the impact of Chinese high speed rail systems on the tourism industry. Through a multivariate panel analyses, the study confirms that during the period between 1999 and 2010, the emerging high speed rail services do have significant impacts on boosting tourism in China....

This paper introduces a new general equilibrium approach to evaluate economic impact of public transportation capital stock in the US. By treating public transportation capital as separated factor accounts, the model enables us to assess the economic impact of public transportation stock for...

Shift-share analysis is a decomposition technique that is commonly used to measure attributes of regional change. In this method, a large region is decomposed into its relevant functional and regional parts. By decomposing smaller regions embedded in a large region, it allows us to understand...

This paper investigates causal linkages between surface transportation infrastructures and economic performance in the northeast corridor in the United States. To improve the validity of estimation, financial data of highways, public rail and transit are measured in real dollar values. The panel...

This study introduces a new method called Spatial Econometric Computable General Equilibrium (SECGE) model, which integrates both spatial econometrics with computable general equilibrium modeling to improve the effectiveness of impact analysis on transportation infrastructure. Elasticities of...

In this paper we develop an exploratory non-parametric clustering model of spatial and/or spatio-temporal phenomena based on Kolmogorov entropy. The methodology will be tested using quarterly HPI (Housing Price Index) data for 350 plus cities in the US from the Federal Financing and Housing...

In this research note we report on our current efforts on developing a leading indicator of housing prices that could be used to forecast housing prices. Specifically we use Google search index at city level to predict Case-Shiller index. The methodology is based on Granger causality where we...

This study investigates the ex post impact of the Beijing-Shanghai high speed rail (BJHSR) on housing values. A dataset including 1,016 housing communities from the 22 cities along the BJHSR line are analyzed in the tradition of the hedonic pricing model using three estimation procedures: a...

Impact assessment of transportation investment policy is a challenging task as assessment outcome is sensitive to various attributes such as methodology, time period, scale and location of analysis. This study is conducted to evaluate regional impact of public transportation infrastructure in...