Wenjia Zhang
Biographic Data
| ID | 3584485 |
|---|---|
| NAME | Wenjia Zhang |
| GIVEN NAMES | Wenjia |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG W |
| AFFILIATIONS | Peking University |
| ORCID | 0000-0002-7211-4205 |
| VERIFIED | Yes |
| TOTAL WORKS | 40 |
| TOTAL CITATIONS | 85 |
| AUTHOR COUNT | 39 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 6 |
Urban Spatial Structure
Urban spatial structure, encompassing the organization and interconnection of socioeconomic activities within cities, has been examined through diverse disciplinary lenses. This entry synthesizes perspectives from urban geography, planning, and economics, tracing the evolution from static, attribute‐based “mosaic” approaches to dynamic network analyses. While urban planning envisions spatial structures that promote sustainability, equity, and res…
Understanding the Internal Structure of Daily Activity Space from Anchor Regions: Evidence from Long-Time-Series Mobile Signaling Data
Activity space represents the spatiotemporal interaction between individuals and their environment. While most studies measure potential activity space using short-term data, few have defined or measured its actual internal structure. This study introduces “anchor regions” as the core areas where daily activities are concentrated, and conceptualizes the structure of an individual’s activity space by incorporating the concept of regular locations,…
Is a Life Circle a Circle? Topological Data Analysis on Activity Space Delineation
Activity space is a foundational concept in urban and behavioral geography, yet its complex and varied morphology has long eluded conventional representations. We introduce a topological data analysis (TDA) pipeline that couples persistent homology with high-resolution raster geo-computation to model activity space as a continuous field of daily mobility intensity. Thresholding persistent clusters and loops yields concise, data-driven boundaries …
Delineating Urban High–Risk Zones of Disease Transmission: Applying Tensor Decomposition to Trajectory Big Data
Risk zone delineation and mobility behavior control constitute critical measures in pandemic containment. Numerous studies utilize static demographic data or dynamic mobility data to calculate the high–risk zones present in cities; however, these studies fail to concurrently consider activity and mobility patterns of populations in both space and time, which results in many studies only being able to employ static geostatistical analytical method…
Will differential leaders be welcomed? The justice-driven path to followership behavior
Comparing structural policies for relieving citywide traffic congestion: Longitudinal evidence from 96 Chinese cities
Resilience of human mobility in response to unexpected events
Quasi-Experimental Analysis of Covid-19 Effects on Older Versus Younger Adults’ Travel Behavior: The Moderating Role of the Built Environment
Using two months of secular cellphone traces from older adults in Shenzhen, China, this study applies an interrupted time-series quasi-experimental design to assess COVID-19’s effects on daily personal kilometers traveled across neighborhoods with varying built environments. Findings reveal that the First-Level Response and Closed-Off Community Management policies had a less pronounced impact on older adults, who experienced a slower decline in m…
The Network Spillover Effects of Metro Expansion on Metro Usage: A Quasi-experimental Analysis in Shenzhen, China
Using Shenzhen, China as a case study, we observed that metro (i.e., subway) expansion can generate network spillover effects on metro usage along the existing metro lines. We also found that metro-induced network spillover effect follows a distance decay pattern both along the metro line and areas adjacent to stations. Analyzing time-varying network spillover effect can produce more accurate assessments of the travel behavior implications stemmi…
The neural mechanisms underlying semantic unification and semanteme integration
Occupation patterns during the Shangshan in the upper Qiantang River Basin, eastern China: A geomorphic study based on GIS
Varying mobility adaptation to Covid-19 of residents in urban villages and commodity housing communities: A quasi-experimental analysis in Shenzhen, China
Mesoscale Structure in Urban–Rural Mobility Networks in the Pearl River Delta Area: A Weighted Stochastic Block Modeling Analysis
Understanding the spatial structure of a megaregion with urban and rural areas is crucial for promoting sustainable urbanization and urban–rural integration. Compared to the city network (or the network of urban areas), however, fewer studies focus on the network connecting rural areas or on the comparison of regional structures between urban and rural networks. Using weighted daily mobility flows from the massive mobile-phone signaling data, thi…
Causal effects of mobility intervention policies on intracity flows during the Covid-19 pandemic: The moderating role of zonal locations in the transportation networks
Social and spatial heterogeneities in Covid-19 impacts on individual's metro use: A big-data driven causality inference
Functional connectivity between parietal and temporal lobes mediates internal forward models during speech production
A novelty evaluation of the impact of digitalization on energy internet value creation
Built environment interventions for emission mitigation: A machine learning analysis of travel-related CO2 in a developing city
City networks and clusters as expressed in Chinese and Japanese languages: A multiscale network analysis with language-sensitive webpage big data
Spatiotemporal Heterogeneities in the Causal Effects of Mobility Intervention Policies during the Covid-19 Outbreak: A Spatially Interrupted Time-Series (Sits) Analysis
Although there has been a growing interest in causal inference in geography studies, few studies have incorporated spatiotemporal heterogeneities with causalities. This study conceptualizes different patterns of spatiotemporal heterogeneity in the causal effects of policy interventions and develops a spatially interrupted time-series (SITS) quasi-experimental design to causally infer how the treatment effects of mobility control policies during t…
Measuring Physical Disorder in Urban Street Spaces: A Large-Scale Analysis Using Street View Images and Deep Learning
Physical disorder is associated with negative outcomes in economic performance, public health, and social stability, such as the depreciation of property, mental stress, fear, and crime. A limited but growing body of literature considers physical disorder in urban space, especially the topic of identifying physical disorder at a fine scale. There is currently no effective and replicable way of measuring physical disorder at a fine scale for a lar…
Structural changes in intercity mobility networks of China during the Covid-19 outbreak: A weighted stochastic block modeling analysis
Exploring built environment factors that influence the market share of ridesourcing service
Incorporating polycentric development and neighborhood life-circle planning for reducing driving in Beijing: Nonlinear and threshold analysis
Changes in the geographical distribution of global iron ore shipping flows, 2000–2019
Measuring Physical Disorder in Urban Street Spaces: A Large-Scale Analysis Using Street View Images and Deep Learning
Physical disorder is associated with negative outcomes in economic performance, public health, and social stability, such as the depreciation of property, mental stress, fear, and crime. A limited but growing body of literature considers physical disorder in urban space, especially the topic of identifying physical disorder at a fine scale. There is currently no effective and replicable way of measuring physical disorder at a fine scale for a lar…
Measuring megaregional structure in the Pearl River Delta by mobile phone signaling data: A complex network approach
Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning
Mesoscale Structures in World City Networks
This study conceptualizes variant mesoscale structures (e.g., core–periphery, community, flat-world, or hybrid) in world city networks (WCNs) that enable us to understand the grouping features of cities with similar roles and positions, which are defined by distinctive relational patterns between cities as well as groups. A new analytical framework relying on a Bayesian-inference weighted stochastic block model (WSBM) is proposed to infer and com…
When Context Meets Self-Selection: The Built Environment–Travel Connection Revisited
Existing studies on the built environment (BE)–travel connection tend to underestimate the potential of BE-based mobility strategies due to these studies’ limitations in conceptual and analytical frames. This study conceptualized the combined direct and indirect effects of BE on travel as contextual effects around three features of BE: multiplicity, interaction, and scalability. The conceptual framework was operationalized through multilevel mode…
Spatiotemporal Heterogeneities in the Causal Effects of Mobility Intervention Policies during the Covid-19 Outbreak: A Spatially Interrupted Time-Series (Sits) Analysis
Although there has been a growing interest in causal inference in geography studies, few studies have incorporated spatiotemporal heterogeneities with causalities. This study conceptualizes different patterns of spatiotemporal heterogeneity in the causal effects of policy interventions and develops a spatially interrupted time-series (SITS) quasi-experimental design to causally infer how the treatment effects of mobility control policies during t…
Actors and network in the marketization of rural collectively-owned commercial construction land (RCOCCL) in China: A pilot case of Langfa, Beijing
City-level urban form and traffic safety: A structural equation modeling analysis of direct and indirect effects
Optimal policies in cities with congestion and agglomeration externalities: Congestion tolls, labor subsidies, and place-based strategies
Built environment interventions for emission mitigation: A machine learning analysis of travel-related CO2 in a developing city
Incorporating land use and pricing policies for reducing car dependence: Analytical framework and empirical evidence
This article develops an analytical framework to connect the theories of market and planning failures with the reasoning of incorporating land use and pricing policies for reducing driving and car dependence. A multilevel multinomial logit model (MML) is applied to estimate the effects of neighbourhood land use characteristics and price variables on travel mode choice of non-work trips and their interaction effects in the city of Austin, Texas. R…
The Network Spillover Effects of Metro Expansion on Metro Usage: A Quasi-experimental Analysis in Shenzhen, China
Using Shenzhen, China as a case study, we observed that metro (i.e., subway) expansion can generate network spillover effects on metro usage along the existing metro lines. We also found that metro-induced network spillover effect follows a distance decay pattern both along the metro line and areas adjacent to stations. Analyzing time-varying network spillover effect can produce more accurate assessments of the travel behavior implications stemmi…
Does compact land use trigger a rise in crime and a fall in ridership? A role for crime in the land use–travel connection
Studies in the land use–travel connection have long neglected the role of neighbourhood crime. This paper analyses such a role of crime and explores whether more compact land-use characteristics tend to cluster more crimes, thus having a negative impact on public transit use. A path analysis model is used to estimate the relationship between land use, crime, and bus ridership in the city of Austin, Texas. The results demonstrate that higher popul…
Does political fragmentation lead to budgetary incrementalism? An empirical test on the French local public sector
Does political fragmentation lead to budgetary incrementalism? An empirical test on the French local public sector
Extraction of Semantic Information from Parafoveal Words in the Reading of Chinese: An ERPs Study
摘要
Optimal policies in cities with congestion and agglomeration externalities: Congestion tolls, labor subsidies, and place-based strategies
Does compact land use trigger a rise in crime and a fall in ridership? A role for crime in the land use–travel connection
Studies in the land use–travel connection have long neglected the role of neighbourhood crime. This paper analyses such a role of crime and explores whether more compact land-use characteristics tend to cluster more crimes, thus having a negative impact on public transit use. A path analysis model is used to estimate the relationship between land use, crime, and bus ridership in the city of Austin, Texas. The results demonstrate that higher popul…
City-level urban form and traffic safety: A structural equation modeling analysis of direct and indirect effects
When Context Meets Self-Selection: The Built Environment–Travel Connection Revisited
Existing studies on the built environment (BE)–travel connection tend to underestimate the potential of BE-based mobility strategies due to these studies’ limitations in conceptual and analytical frames. This study conceptualized the combined direct and indirect effects of BE on travel as contextual effects around three features of BE: multiplicity, interaction, and scalability. The conceptual framework was operationalized through multilevel mode…
Incorporating land use and pricing policies for reducing car dependence: Analytical framework and empirical evidence
This article develops an analytical framework to connect the theories of market and planning failures with the reasoning of incorporating land use and pricing policies for reducing driving and car dependence. A multilevel multinomial logit model (MML) is applied to estimate the effects of neighbourhood land use characteristics and price variables on travel mode choice of non-work trips and their interaction effects in the city of Austin, Texas. R…
Mesoscale Structures in World City Networks
This study conceptualizes variant mesoscale structures (e.g., core–periphery, community, flat-world, or hybrid) in world city networks (WCNs) that enable us to understand the grouping features of cities with similar roles and positions, which are defined by distinctive relational patterns between cities as well as groups. A new analytical framework relying on a Bayesian-inference weighted stochastic block model (WSBM) is proposed to infer and com…
Nonlinear effect of accessibility on car ownership in Beijing: Pedestrian-scale neighborhood planning
Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning
Actors and network in the marketization of rural collectively-owned commercial construction land (RCOCCL) in China: A pilot case of Langfa, Beijing
Measuring megaregional structure in the Pearl River Delta by mobile phone signaling data: A complex network approach
A city of cities: Measuring how 15-minutes urban accessibility shapes human mobility in Barcelona
As cities expand, human mobility has become a central focus of urban planning and policy making to make cities more inclusive and sustainable. Initiatives such as the “15-minutes city” have been put in place to shift the attention from monocentric city configurations to polycentric structures, increasing the availability and diversity of local urban amenities. Ultimately they expect to increase local walkability and increase mobility within resid…
Interpersonal and Intrapersonal Variabilities in Daily Activity-Travel Patterns: A Networked Spatiotemporal Analysis
Interpersonal and intrapersonal variabilities are two important perspectives to understand daily travel behaviors, while only a small number of studies incorporate them for understanding human dynamics. This paper employed a network analysis approach to detecting daily activity-travel patterns of 680 Beijing’s residents within a week and then used a multilevel multinomial logit model to analyze the intrapersonal variability in patterns and the so…
Comparing World City Networks by Language: A Complex-Network Approach
City networks are multiplex and diverse rather than being regarded as part of a single universal model that is valid worldwide. This study contributes to the debate on multiple globalizations by distinguishing multiscale structures of world city networks (WCNs) reflected in the Internet webpage content in English, German, and French. Using big data sets from web crawling, we adopted a complex-network approach with both macroscale and mesoscale an…
Structural changes in intercity mobility networks of China during the Covid-19 outbreak: A weighted stochastic block modeling analysis
Exploring built environment factors that influence the market share of ridesourcing service
Incorporating polycentric development and neighborhood life-circle planning for reducing driving in Beijing: Nonlinear and threshold analysis
Changes in the geographical distribution of global iron ore shipping flows, 2000–2019
Mesoscale Structure in Urban–Rural Mobility Networks in the Pearl River Delta Area: A Weighted Stochastic Block Modeling Analysis
Understanding the spatial structure of a megaregion with urban and rural areas is crucial for promoting sustainable urbanization and urban–rural integration. Compared to the city network (or the network of urban areas), however, fewer studies focus on the network connecting rural areas or on the comparison of regional structures between urban and rural networks. Using weighted daily mobility flows from the massive mobile-phone signaling data, thi…
Causal effects of mobility intervention policies on intracity flows during the Covid-19 pandemic: The moderating role of zonal locations in the transportation networks
Social and spatial heterogeneities in Covid-19 impacts on individual's metro use: A big-data driven causality inference
Functional connectivity between parietal and temporal lobes mediates internal forward models during speech production
A novelty evaluation of the impact of digitalization on energy internet value creation
Built environment interventions for emission mitigation: A machine learning analysis of travel-related CO2 in a developing city
Urban Transport and Accessibility (23 works) · Geography (20 works) · Business (15 works) · Computer Science (15 works) · Economics (14 works) · Transport engineering (13 works) · Engineering (12 works) · Psychology (11 works) · Transportation Planning and Optimization (10 works) · Economic geography (9 works)