Coordination between node, place, and ridership: Comparing three transit operators in Tokyo

Zhejing Cao · Yasuo Asakura · Tan Zongbo

95 citations0/0 files storedTransportation Research Part D Transport and Environment

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Urban Transport and Accessibility Transportation Planning and Optimization Urban Design and Spatial Analysis

Abstract

Balancing network accessibility (node value) and station-area land use (place value) has been an important research topic for transit-oriented development, but little was known about how node and place value should coordinate with ridership. Using Tokyo as a case study, we develop a node-place-ridership model to evaluate coordination between these three facets and compare different transit operators, namely subway in central area, private railway in suburban area, and Japan Railway (JR) in both central and suburban area. An indicator framework is established to measure the node value by accessible opportunities, network centrality, and train service, and measure the place value by density, design, and diversity. Using open-source urban data, we generate a series of node and place indicators for each station and develop a composite node value index and place value index with information entropy weighting. The results show that node value and place value have positive impacts on ridership and node value’s impact is five times higher than place value. Stations balanced between node and place value can be uncoordinated with ridership, while stations unbalanced between node and place value can coordinate with ridership. JR has better node-place balance and ridership coordination than subway and private railway. Several implications are drawn for ridership coordination with node and place value, including planning for a more mixed urban structure and using through trains to connect central and suburban transit networks. The results of this study would inform transport planners of better organizing transit network, land use, and ridership in urban space.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 95 citations exist upstream.

References

1978Specification Tests in Econometrics 2003Accessibility evaluation of land-use and transport strategies: review and research directions 2003Statistical and Econometric Methods for Transportation Data Analysis 1997Is Los Angeles-Style Sprawl Desirable?2020Statistical and Econometric Methods for Transportation Data Analysis 2003Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area 2002Built environments and mode choice: toward a normative framework 1999Spatial Development Patterns and Public Transport: The Application of an Analytical Model in the Netherlands

Cited by

2022Deciphering the influence of TOD on metro ridership: An integrated approach of extended node-place model and interpretable machine learning with planning implications 2021Integrating Network Centrality and Node-Place Model to Evaluate and Classify Station Areas in Shanghai 2023Networking and sustainable development of urban spatial planning: Influence of rail transit 2022Node, place, ridership, and time model for rail-transit stations: a case study 2022

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.