Exploring non-linear and spatially non-stationary relationships between commuting burden and built environment correlates
Bibliographic Data
| ID | 12296335 |
|---|---|
| Authors | Zhaomin Tong (Wuhan University), Rui An (0000-0003-0282-0638, Wuhan University), Ziyi Zhang (0000-0003-3869-5584, East China University of Technology), Yaolin Liu (0000-0002-4619-5099, Wuhan University, corresponding author), Minghai Luo |
| Year | 2022 |
| Volume | 104 |
| Pages | 103413-103413 |
| Publication date | 2022-08-30 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Transport Geography (JOURNAL) |
| Journal identifiers | ISSN: 0966-6923 • E-ISSN: 1873-1236 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jtrangeo.2022.103413 |
| OpenAlex | W4293773801 |
| Language | EN |
| Citations received | 22 |
| References cited | 64 |
Built environment · Civil engineering · Correlation · Decision tree · Econometrics · Economics · Environmental health · Equity (law · Gradient boosting · Land use · Linear regression · Machine learning · Poison control · Random forest · Statistics · Transport engineering · Vehicle miles of travel · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Mathematics · Transportation Planning and Optimization · Urban Transport and Accessibility
Impact of Metropolitan Center Structure on Commuting Distance in China
Nonlinear Influence of the Built Environment on the Attraction of the Third Activity
Reducing Extreme Commuting by Built Environmental Factors
Mapping Soil Organic Carbon in High‐standard Farmland Construction Areas Using Machine Learning Algorithms
Spatiotemporal activity patterns of urban residents and nonlinear built-environment associations
Nonlinear-relationship between urban environment and commuting distance considering social and job disparities
Quantifying the impact of built environment on traffic congestion
Exploring the nonlinear relationships between human travel and road traffic congestions using taxi trajectory data
Nonlinear relationship between built environment and commute mode choice
Detecting anomalous commuting patterns
Revealing the relationship between 2D/3D built environment and jobs-housing separation coupling nonlinearity and spatial nonstationarity
Unravelling heterogeneity and dynamics of commuting efficiency
Unlocking the nonlinear Nexus
Exploring biases in travel behavior patterns in big passively generated mobile data from 11 U.S. cities
Commuting Burden Distribution
Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning
Spatial patterns and non-linear determinants of rural outmigration
Uncovering the activity-based gender segregation and its association with crime
Treat and halt
Discovering the nonlinear association between the built environment and metro ridership
Unveiling Disparities in Bicycling Mobility Patterns Across Socioeconomic Statuses
Integrating street view images and deep learning to explore the association between human perceptions of the built environment and cardiovascular disease in older adults
The Impact of the Built Environment on Individual Workers’ Commuting Behavior in Beijing
Commuting, Migration, and Rural‐Urban Population Dynamics
The Commuting Paradox Evidence from the Top Twenty
Stress that Doesn't Pay
A Human Perspective on the Daily Commute
Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions
Examining non-linear built environment effects on elderly’s walking
PDP
A working guide to boosted regression trees
Greedy function approximation
Travel demand and the 3Ds
Are Electric Vehicles Reshaping the City? An Investigation of the Clustering of Electric Vehicle Owners’ Dwellings and Their Interaction with Urban Spaces
How Did Built Environment Affect Urban Vitality in Urban Waterfronts? A Case Study in Nanjing Reach of Yangtze River
The Influence of Jobs–Housing Balance and Socio-economic Characteristics on Commuting in a Polycentric City
Built environment impacts on walking for transport in Brisbane, Australia
Relationship between commuting and health outcomes in a cross-sectional population survey in southern Sweden
Social inequalities in mobility
Determinants of extreme commuting. Evidence from Brussels, Geneva and Lyon
Temporal variation in activity-space-based segregation
Determinants of distance traveled with a focus on the elderly
Threshold and moderating effects of land use on metro ridership in Shenzhen
To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults
Representing the differences between female and male commute behavior in residential location choice models
The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips
The jobs-housing relationship and commuting in Guangzhou, China
Job growth, accessibility, and changing commuting burden of employment centres in Melbourne
Exploring the Nonlinear Relationship between the Built Environment and Active Travel in the Twin Cities
Meta-Analyses of Built Environment Effects on Travel
Spatial and Transportation Mismatch in Los Angeles
Is there a relationship between economic indicators and road fatalities in Texas? A multiscale geographically weighted regression analysis
Spatial or socioeconomic inequality? Job accessibility changes for low- and high-education population in Beijing, China
Building reverse commute typologies through urban and suburban socioeconomic characteristics
Early birds, night owls, and tireless/recurring itinerants
Does City Structure Affect Job Search and Welfare
Is the Journey to Work Explained by Urban Structure
Does accessibility matter? Understanding the effect of job accessibility on labour market outcomes
The Distribution of Environmental Equity
Analysing Commuting Using Local Regression Techniques
The determinants of the commuting burden of low-income workers
Two Waves of Gentrification and Emerging Rights Issues in Guangzhou, China
Decade-long changes in spatial mismatch in Beijing, China
Geographically Weighted Regression
| Unique citing works | 22 |
|---|---|
| Citations per year | 7,33 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 22 |