Identifying walkability factors for urban metro station areas toward transit-oriented development

Heyjin Kim · Shin Hyoung Park · Jaehyun Jason So

8 citations0/0 files storedInternational Journal of Urban Sciences

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

Despite significant efforts to enhance accessibility to transportation facilities and transit-oriented development (TOD), the rapid expansion of cities has hindered improvements in citizens’ access to transportation facilities. This study addresses these challenges by aiming to delineate key factors pertaining to access distance that facilitate successful station area development and to identify areas requiring enhancements in public transport access. To measure accessibility and the factors affecting it, various types of mobility and demographic data, including transit fare card data, residential and workplace population density, and the count of bus stops and metro lines, were used to assess access distance characteristics. Findings indicate that bus stops within 500m of metro stations tend to have more bus stops within a 500m radius and lower residential population within a 100m radius, compared to stations with access distances exceeding 500m. Bus stops in the 500m range outnumber those beyond 500m, and their associated residential and workplace population densities are lower. Considering the number of bus stops as well, stations indicating access distances exceeding 500m are relatively scarce in public transportation, indicating lower public transportation accessibility. Therefore, this study suggests that when developing station areas within urban centres, priority should be given to areas where subway station population density is high but distributed over a wide area and the number of bus stops within the station area is low. These findings on the walkability quality factors and considerations to assess the walkability will be a great reference to the policy decision makers to prioritize TOD areas.

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 — 8 citations exist upstream.

References

2009Influences of Built Environments on Walking and Cycling: Lessons from Bogotá 2012Application of geographically weighted regression to the direct forecasting of transit ridership at station-level 2011Transit ridership forecasting at station level: an approach based on distance-decay weighted regression 2018A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership 2019How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds 2020Examining the relationship between built environment and metro ridership at station-to-station level 2013What influences Metro station ridership in China? Insights from Nanjing 2020Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning

Cited by

2025The Walkability Evaluation and Optimization Strategies of Metro Station Areas Taking Shanghai as an Example 2026Evaluating transfer efficiency between public transportation and bike sharing for Mobility as a Service (MaaS)2026From Behavioral Characteristics to Spatiotemporal Structures: Identifying Urban Active-Healthy Walking Support Types and Their Environmental Determinants

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.