Research on accessibility, a measure of ease of reaching potential opportunities, has
advanced significantly, but the adoption of these measures by public transport agencies has …

Time series analysis has been used extensively in transport research in various areas, such
as traffic management and transport planning. Time-series data may contain temporal and …

Transit ridership modeling at the bus stop level is an important tool for bus network planning
and transit-oriented development. However, many cities, especially in develo** countries …

This study formulates a disaggregate direct demand model of bus transit ridership while
addressing the following substantive and methodological issues:(a) endogeneity and non …

Growing population, rapid urbanization, and increasing travel demand emphasize the need
for reliable public transportation systems and sustainable transportation planning. A reliable …

The objective of the current study is to examine monthly air passenger departures at the
airport level considering spatial interactions between airports. In this study, we develop a …

This study integrates the fields of geography, urban transit planning, and statistical learning
to develop a sophisticated methodology for predicting bus demand at the stop level. It uses a …

To unravel the general relationship between bus travel and land use around bus stops and
along bus routes and to promote their coordinated development, this paper explores a …

Stop‐level ridership data serve as a basis for various studies toward increasing bus
patronage and promoting sustainable land use planning. To address limitations found in …

Public Transit (PT) systems aim to provide social, economic, and environmental benefits to
modern cities offering reliable transportation service to users and ultimately reducing the …