Bangkok suffered from the world's worst traffic congestion in the 1990s due to rapidly
increasing car ownership, reflecting the economic growth and road-dependent transport …

Geographically weighted regression (GWR) models have been employed in previous
studies regarding vehicular travel demands, but few studies have locally modeled walking …

In recent decades, Bangkok has experienced substantial investments in its urban railway
network, resulting in a profound transformation of the city's landscape. This study examines …

Considering the importance of spatial issues in transport planning, the main objective of this
study was to analyze the results obtained from different approaches of spatial regression …

Multiple linear regression (MLR) and geographically weighted regression (GWR) models
are used for estimating parking demand in areas with paid short stay parking systems …

In this paper, we explore the diurnal dynamics of joint activity participation in a small city in
Pennsylvania, USA, using behavioral data and an inventory of business establishments. We …

The modifiable areal unit problem (MAUP) is a problem by which aggregated units of data
influence the results of spatial data analysis. Standard GWR, which ignores aggregation …

Proper development within the station catchment area is a key factor in encouraging transit
use and alleviating severe urban traffic congestion. While the railway development has been …

That urban rail transit brings large benefit to the adjacent area is well recognized; however,
to what extent it has influence over space is still questionable, especially in a city being …

This paper presents a study of land use transportation interaction in the developing
countries context. Several issues regarding the development of land use model in …