TOD and vibrancy: The spatio-temporal impacts of the built environment on vibrancy

Bingjie Yu · Xu Cui · Hong Li · Pinyang Luo · Runze Liu · Tian Yang

38 citations0/0 files storedFrontiers in Environmental Science

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 Urban Design and Spatial Analysis Human Mobility and Location-Based Analysis

Abstract

Urban vibrancy is described by the activities of residents and their spatio-temporal dynamics. The metro station area (MSA) is one of the densest and most populous areas of the city. Thus, creating a vibrant and diverse urban environment becomes an important goal of transit-oriented development (TOD). Existing studies indicate that the built environment decisively determines MSA-level urban vibrancy. Meanwhile, the spatio-temporal heterogeneity of such effects requires thoroughly exploration and justification. In this study, we first apply mobile signaling data to quantify and decipher the spatio-temporal distribution characteristics of the MSA-level urban vibrancy in Chengdu, China. Then, we measure the built environment of the MSA by using multi-source big data. Finally, we employ geographically and temporally weighted regression (GTWR) models to examine the spatio-temporal non-stationarity of the impact of the MSA-level built environment on urban vibrancy. The results show that: 1) The high-vibrant MSAs concentrate in the commercial center and the employment center. 2) Indicators such as residential density, overpasses, road density, road network integration index, enterprise density, and restaurant density are significantly and positively associated with urban vibrancy, while indicators such as housing price and bus stop density are negatively associated with urban vibrancy. 3) The GTWR model better fits the data than the stepwise regression model. The impact of the MSA-level built environment on urban vibrancy shows a strong non-stationarity in both spatial and temporal dimensions, which matches with the spatio-temporal dynamic patterns of the residents’ daily work, leisure, and consumption activities. The findings can provide references for planners and city managers on how to frame vibrant TOD communities.

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 — 38 citations exist upstream.

References

1962The Death and Life of Great American Cities 2010Travel and the Built Environment 1997Travel demand and the 3Ds: Density, diversity, and design 2010Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices 2001Defining and Measuring Employability 2019Transit-oriented development: A review of research achievements and challenges 2021To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults 2010Rail-based transit-oriented development: Lessons from New York City and Hong Kong

Cited by

2025A systematic review of urban vitality studies: Trends and research opportunities 2024TOD typology and station area vibrancy: An interpretable machine learning approach 2024Exploring the non-linear relationship and synergistic effect between urban built environment and public sentiment integrating macro- and micro-level perspective: a case study in San Francisco 2022The Role of the Access Environment in Metro Commute Travel Satisfaction 2025Unveiling the pulse of urban metro stations: a TOD-driven approach to measuring vibrancy using geographically weighted random forest

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.