Application of geographically weighted regression to the direct forecasting of transit ridership at station-level

OD Cardozo, JC García-Palomares, J Gutiérrez - Applied geography, 2012 - Elsevier
In recent years, station-level ridership forecasting models have been developed based on
Geographic Information Systems (GIS) and multiple regression analysis. These models …

Factors affecting public transportation usage rate: Geographically weighted regression

YC Chiou, RC Jou, CH Yang - Transportation Research Part A: Policy and …, 2015 - Elsevier
As the number of private vehicles grows worldwide, so does air pollution and traffic
congestion, which typically constrain economic development. To achieve transportation …

The association between urban public transport infrastructure and social equity and spatial accessibility within the urban environment: An investigation of Tramlink in …

N Cuthill, M Cao, Y Liu, X Gao, Y Zhang - Sustainability, 2019 - mdpi.com
The pursuit of sustainability has been at the forefront of contemporary planning initiatives.
However, most recent research has focused on the environmental and economic aspects of …

Local modeling as a solution to the lack of stop-level ridership data

S de França Marques, CS Pitombo - Journal of Transport Geography, 2023 - Elsevier
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 developing countries …

Spatio-temporal analysis of rail station ridership determinants in the built environment

Y Zhu, F Chen, Z Wang, J Deng - Transportation, 2019 - Springer
The development of new routes and stations, as well as changes in land use, can have
significant impacts on public transit ridership. Thus, transport departments and governments …

Transit ridership modeling at the bus stop level: Comparison of approaches focusing on count and spatially dependent data

SF Marques, CS Pitombo - Applied spatial analysis and policy, 2023 - Springer
Boarding and alighting modeling at the bus stop level is an important tool for operational
planning of public transport systems, in addition to contributing to transit-oriented …

[HTML][HTML] Applying multivariate geostatistics for transit ridership modeling at the bus stop level

SF Marques, CS Pitombo - Boletim de Ciências Geodésicas, 2021 - SciELO Brasil
Travel demand models have been developed and refined over the years to consider a
characteristic normally found in travel data: spatial autocorrelation. Another important feature …

Determination of the peak hour ridership of metro stations in Xi'an, China using geographically-weighted regression

L Yu, Y Cong, K Chen - Sustainability, 2020 - mdpi.com
The ridership of a metro station during a city's peak hour is not always the same as that
during the station's own peak hour. To investigate this inconsistency, this study introduces …

A GIS-based appraisal framework for new local railway stations and services

SP Blainey, JM Preston - Transport Policy, 2013 - Elsevier
This paper describes the development of an integrated appraisal procedure for new local
railway stations. The procedure is not intended to act as a 'solid state'set of guidelines, but …

Transportation network companies: Influencers of transit ridership trends

RA Mucci - 2017 - uknowledge.uky.edu
The major transit systems operating in San Francisco are San Francisco Municipal (MUNI),
Bay Area Rapid Transit (BART), and Caltrain. The system of interest for this paper is MUNI …