The Independent and Combined Influence of Local- and Metropolitan-Accessibility on Rapid-Transit Station Boardings
Topics: Transportation Geography
, Spatial Analysis & Modeling
, Urban and Regional Planning
Keywords: rapid-transit, direct demand modeling, metropolitan accessibility, walkability, interactions
Session Type: Virtual Paper Abstract
Day: Saturday
Session Start / End Time: 2/26/2022 11:20 AM (Eastern Time (US & Canada)) - 2/26/2022 12:40 PM (Eastern Time (US & Canada))
Room: Virtual 33
Authors:
Luis Enrique Ramos-Santiago, Clemson University - Department of City Planning and Real Estate Development
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Abstract
Direct-demand models (DDM) are increasingly used for a diversity of transit research and planning. DDMs help in identifying key ridership determinants along a variety of explanatory vectors, predict boardings for sketch planning, and explore a variety of policy issues. Predictors typically include local land-use and urban design attributes; socio-economic characteristics of residents; transit service quality; multimodal integration, network topology, among others. Yet only a few station-level DDM studies have explored the use of composite indicators of metropolitan accessibility in predicting demand. Furthermore, to this author’s knowledge no study has explored potential interactions between metropolitan and local composite accessibility indicators and other related predictors that are typically included in rapid-transit DDM models. This study explores these possibilities and uses Los Angeles (LA) rapid-transit network as a representative case study of a multimodal rapid-transit system that operates in a polycentric, or as some urban geographers would argue, dispersed agglomeration. Multi-level generalized linear models were implemented where key predictors, including a station nodal metropolitan-accessibility composite indicator and a station local-accessibility composite indicator are regressed onto station-level average weekday boardings (n=101 stations). Model results register significant and positive independent effects; multi-scalar interactions; and improvements in station-level models’ explanatory power. Other interactions between the metropolitan accessibility index and local-level station attributes report significant effects. Transit modelers, researchers, and policy-makers would benefit from integrating multi-scalar composite accessibility measures, and their interactions in transit demand analyses. It provides a useful platform for a better understanding of complex multi-scalar relationships and their influence on aggregate travel behavior.
The Independent and Combined Influence of Local- and Metropolitan-Accessibility on Rapid-Transit Station Boardings
Category
Virtual Paper Abstract
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