Unveiling the daily rhythm of urban space
Exploring the influence of built environment on spatiotemporal mobility patterns
Bibliographic Data
| ID | 21449977 |
|---|---|
| Authors | Cansu Güller (0000-0001-5602-7948, Atatürk University, corresponding author), Cigdem Varol (0000-0002-2432-5745, Gazi University) |
| Year | 2024 |
| Volume | 170 |
| Pages | 103366 |
| Publication date | 2024-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Applied Geography (JOURNAL) |
| Journal identifiers | ISSN: 0143-6228 • E-ISSN: 1873-7730 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.apgeog.2024.103366 |
| OpenAlex | W4401338903 |
| Language | EN |
| Citations received | 12 |
| References cited | 46 |
Aesthetics · Art · Cartography · Economic geography · Geography · Rhythm · Space (punctuation) · Computer Science · Human Mobility and Location-Based Analysis · Urban Design and Spatial Analysis · Urban Transport and Accessibility
Revealing Spatial Heterogeneity and Drivers of Day–Night Mobility Differentiation Among Chinese Migrants in Seoul via Multiscale Geographically Weighted Regression
Understanding the Internal Structure of Daily Activity Space from Anchor Regions
Spatiotemporal activity patterns of urban residents and nonlinear built-environment associations
Environmental determinants of dynamic jogging patterns
Uncovering travel communities among older and younger adults using smart card data
High-resolution outdoor heat-risk modeling for city central areas with applications to Tokyo and Lyon
Dynamic urban flood risk assessment based on human activity patterns
Spatiotemporal Analysis of Human Mobility in Greater Tokyo Area Using Hourly 500 m Mobile Spatial Statistics from 2019 to 2021
Rural-urban rhythms
Non-linear and temporally dynamic effects of built environment and trip attributes on metro competitiveness
Sampling the City
Analyzing rhythms of intercity mobility within and between mega-city regions
Mobility as a Service
The promises of big data and small data for travel behavior (aka human mobility) analysis
Introducing the “15-Minute City”
Daily rhythm of urban space usage
Near Real-Time Semantic View Analysis of 3D City Models in Web Browser
Income estimation based on human mobility patterns and machine learning models
Interurban mobility
Assessing impacts of the built environment on mobility
Characterizing the complex influence of the urban built environment on the dynamic population distribution of Shenzhen, China, using geographically and temporally weighted regression
Street characteristics and human activities in commercial districts
A clustering-based approach to quantifying socio-demographic impacts on urban mobility patterns
Limits of space syntax for urban design
The spatial coupling effect between urban public transport and commercial complexes
Values, attitudes and travel behavior
Analysis of activity participation and time use decisions of partners
Urban design attributes and resilience
The livable urban landscape
The effect of built environments on the walking and shopping behaviors of pedestrians; A study with GPS experiment in Sinchon retail district in Seoul, South Korea
A novel dynamic quantification model for diurnal urban land use intensity
City dynamics through Twitter
Spatiotemporal distribution characteristics and mechanism analysis of urban population density
The role of neighbourhoods accessibility in residential mobility
Tempo-spatial analysis of pedestrian movement in the built environment based on crowdsourced big data
The spatial distribution of businesses and neighborhoods
Urban chronopolis
Urban rhythms
| Unique citing works | 12 |
|---|---|
| Citations per year | 6 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |