Investigation of Land Use Model Application in the United States

Building a GIS Platform for the Quantitative Approach to Regional Studies in Northeast Asi

Determination of a Desirable Time Step for QuasiDynamic Urban Model on Sapporo Test Bed

Building a GIS Platform for the Quantitative Approach to Regional Studies in Northeast Asi

An Evaluation System of Policy Alternatives based on TRANUS from the Viewpoint of a Compact City

Building a GIS Platform for the Quantitative Approach to Regional Studies in Northeast Asi

Discrete Choice Model with Structuralized Spatial Effects for Location Analysis

Building a GIS Platform for the Quantitative Approach to Regional Studies in Northeast Asi

Introduction of Land Use Model to Improve Travel Demand Forecasting in a Metropolitan Area: Case of TRANUS Application to Sapporo

Building a GIS Platform for the Quantitative Approach to Regional Studies in Northeast Asi

Location choices of newly created establishments: Spatial patterns at the aggregate level

This paper explores the problems associated with the location choice of newly created establishments at the aggregate level. Much work has been done in this domain, however, several issues arise when analyzing involved phenomena, which scholars have yet to fully explore: 1) addressing the excess of zeros problem in the location choice model in highly heterogeneous geographic areas and 2) determining an appropriate way to accommodate spatial effects for location decisions. We tested models that include both stocks of pre-existing establishments and variables that represent measures of accessibility to the workforce and population, proximity to shops, services, transport infrastructure, availability of land, as well as prices and tax levels. We concluded that an estab- lishment does not act in isolation during its decision-making processes and that it is likely to be influenced by other establishments located nearby. When selecting the appropriate location in which to set up in the market, an establishment may consider not only the characteristics of a particular area, but also the characteristics of neighboring zones. Having estimated 84 nested and non-nested count data models, we found that the hurdle models are preferred for taking into account the presence of excess zeros. Hurdle models offer greater flexibility in modeling zero outcomes and relax the assumption that the zero observations and the positive observations come from the same data generating process. In addition, the paper finds that the models tested with the distance matrix indicate that the incorporation of spatial spillovers leads to an enhancement in the models' performance

COVID-19 Countermeasures and Passengers’ Confidence of Urban Rail Travel in Bangkok

Rail transit systems around the world have been suffering from heavily reduced ridership due to reduced capacity for social distancing and passengers’ concern over the risk of COVID-19 infection. Various countermeasures were implemented to reduce the COVID-19 risk so that passengers felt safe to travel on rail. The objectives of this study were to evaluate COVID-19 countermeasures of Bangkok’s urban rail from passengers’ viewpoints and examine its influence on passenger’s confidence. The background of the COVID-19 pandemic in Thailand and the rail countermeasures implemented in Bangkok were summarized. The data were obtained from an interview survey of 1105 railway passengers conducted at the stations during the second wave of the pandemic. Factor analyses and structural equation modeling were conducted. The results revealed that social distancing was not satisfied by the passengers but adversely caused inconvenience and increased infection risk when the station or rail were congested. On the other hand, the passenger temperature check, face mask enforcement, and hand sanitization countermeasures were found to highly and positively contribute to passengers’ confidence. Contact tracing application was also found to raise awareness and confidence. The findings provided insights for rail authorities and related agencies to effectively implement the countermeasures that would be practically and financially sustainable

Nonstationarity in regression-based spatial interpolation models

geographically weighted regression, kriging Nonstationarity in regression-based spatial interpolation models Abstract: The existence of nonstationarity, or spatial variability in geographical relationships, is a topic that has received some attention in the geographical literature in recent years. Its effect in regression-based spatial interpolation methods, however, remains an open research question. In order to explore this question, the paper describes a general regression model which can be used to derive a number of standard interpolation methods, and also a new approach capable of accommodating geographical nonstationarity. The approach proposed, it will be seen, is a synthesis of concepts derived from the methods of kriging and geographically weighted regression (GWR). Application to a case study suggests that potentially useful performance improvements may result from using the new approach. 1 1