Jean-Claude Thill
Biographic Data
| ID | 359880 |
|---|---|
| NAME | Jean-Claude Thill |
| GIVEN NAMES | Jean-Claude |
| FAMILY NAME | Thill |
| SIGNATURE | THILL J |
| AFFILIATIONS | University of North Carolina at Charlotte |
| ORCID | 0000-0002-6651-8123 |
| VERIFIED | Yes |
| TOTAL WORKS | 62 |
| TOTAL CITATIONS | 147 |
| AUTHOR COUNT | 62 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 7 |
Potential impacts of personal autonomous vehicles on travel behaviors: A land use and transportation interaction approach
This study aims to assess the potential impacts of personal Autonomous Vehicles (AVs) on people’s travel behaviors when vehicle sharing in household and network of friends is allowed. Several hypotheses are developed to address research questions using a simulated environment in the TRANUS land use and transportation interaction (LUTI) framework. To estimate the anticipated effects of AVs, we use the transportation model embedded in this LUTI sim…
Socioeconomic structure and internal revenue generation in Ghana
After three decades of decentralized governance, weak fiscal capacities continue to characterize and undermine local authority of districts in Ghana and across the developing south. While significant literature has been devoted to understanding the internal fiscal problems of local authorities, they have been limited to administrative and capacity constraints that hamper efficient and effective revenue collection. However, the inherent socioecono…
Delineating hierarchical activity space from high-resolution urban mobility flows
Geographically Weighted Canonical Correlation Analysis: Local Spatial Associations between Two Sets of Variables
This article critically assesses the utility of the classical statistical technique of canonical correlation analysis (CCA) to study spatial associations and proposes a new approach to enhance it. Unlike bivariate correlation analysis, which focuses on the relationship between two individual variables, CCA investigates associations between two sets of variables by finding pairs of linear combinations that are maximally correlated. CCA has great p…
Who is inclined to buy an autonomous vehicle? Empirical evidence from California
This study aims to investigate people’s perceptions and opinions on Autonomous Vehicles (AVs) and the key factors that influence their Behavioral Intention (BI) to purchase and use AVs. Data were sourced from the 2019 California Vehicle Survey to explore the determinants of AV purchase. A Structural Equation Model (SEM) of stated intentions is estimated to validate a theoretical framework drawn on relevant bodies of literature. The descriptive st…
Urban Street Network Configuration and Property Crime: An Empirical Multivariate Case Study
In 21st-century American cities, urban crime remains a critical public safety concern influenced by complex social, political, and environmental structures. Crime is not randomly distributed and built-environment characteristics, such as street network configuration, impact criminal activity through spatial dependence effects at multiple scales. This study investigates the cross-sectional, multi-scale spatial effects of street network configurati…
Determinants of Corporate Investment in Single-Family Rental Housing in Charlotte, North Carolina
A Reciprocal Statistic for Detecting the Full Range of Local Patterns of Bivariate Spatial Association
Bivariate spatial association is the relationship between two variables in spatial proximity. Observation of strong bivariate spatial association rests on the similarity of two variables in the same geographic neighborhood, and it should not be conditioned by the concentration of extreme values. Existing spatial statistical methods, however, put disproportionate emphasis on patterns formed by extreme values, such as the so-called high–high, low–l…
State fragility, violence and trade: Dangerous trade routes in Colombia
We investigate the effect of domestic armed violence brought about by insecurity on the geography of freight mobility and the resulting differential access of regions to global markets. There is a preponderance of evidence from the micro-level analysis of Colombia-U.S. export shipping records that export freight shipping from inland regions was re-routed to avoid exposure to domestic armed violence despite extended landside and maritime shipping …
Non-business services performance forecasting for small urban areas using a spatiotemporal deep learning model
A space-time flow Lisa approach for panel flow data
Active transportation and the built environment of a mid-size global south city
Pandemic vulnerability index of US cities: A hybrid knowledge-based and data-driven approach
City networks and clusters as expressed in Chinese and Japanese languages: A multiscale network analysis with language-sensitive webpage big data
Metric, Topological, and Syntactic Accessibility in Three-Dimensional Urban Networked Spaces: Modeling Options and Visualization
In this paper, we take the position that cities gain to be represented as three-dimensional spaces populated by scores of micro-scale-built spaces (buildings, rooms, passageways, squares, etc.). Effective algorithms that evaluate place-based accessibility in built structures while considering the indoor spaces’ complexity at a fine granularity are essential for indoor–outdoor seamless urban planning, navigation, way findings, and supporting emerg…
Associations between Covid-19 Pandemic, Lockdown Measures and Human Mobility: Longitudinal Evidence from 86 Countries
Recognizing an urgent need to understand the dynamics of the pandemic's severity, this longitudinal study is conducted to explore the evolution of complex relationships between the COVID-19 pandemic, lockdown measures, and social distancing patterns in a diverse set of 86 countries. Collecting data from multiple sources, a structural equation modeling (SEM) technique is applied to understand the interdependencies between independent variables, me…
Simulating and Forecasting the Covid-19 Spread in a U.S. Metropolitan Region with a Spatial Seir Model
The global COVID-19 pandemic has taken a heavy toll on health, social, and economic costs since the end of 2019. Predicting the spread of a pandemic is essential to developing effective intervention policies. Since the beginning of this pandemic, many models have been developed to predict its pathways. However, the majority of these models assume homogeneous dynamics over the geographic space, while the pandemic exhibits substantial spatial heter…
Sea-land interdependence and delimitation of port hinterland-foreland structures in the international transportation system
Visualizing the maritime connectivity of African countries
Connecting short and long distance perspectives in freight transportation: Introduction to a special issue
CrimeScape: Analysis of socio-spatial associations of urban residential motor vehicle theft
Exploring Feasibility of Multivariate Deep Learning Models in Predicting Covid-19 Epidemic
Background: Mathematical models are powerful tools to study COVID-19. However, one fundamental challenge in current modeling approaches is the lack of accurate and comprehensive data. Complex epidemiological systems such as COVID-19 are especially challenging to the commonly used mechanistic model when our understanding of this pandemic rapidly refreshes. Objective: We aim to develop a data-driven workflow to extract, process, and develop deep le…
Machine Learning of Spatial Data
Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. At the same time, resources that would identify these properties and investigate their influence and methods to handle them in machine learning applications are lagging behind. In this survey of the literature, we seek to identify and discuss spatial properties of data that influence the performance of machine le…
Challenging the shipper's location problem in port studies: An analysis of French AOC wine shipments to the US
Boosting Computational Effectiveness in Big Spatial Flow Data Analysis with Intelligent Data Reduction
One of the enduring issues of spatial origin-destination (OD) flow data analysis is the computational inefficiency or even the impossibility to handle large datasets. Despite the recent advancements in high performance computing (HPC) and the ready availability of powerful computing infrastructure, we argue that the best solutions are based on a thorough understanding of the fundamental properties of the data. This paper focuses on overcoming the…
Land pricing and its impact on land use efficiency in post-land-reform China: A case study of Beijing
Spatial interaction modelling
Comparison of planar and network K-functions in traffic accident analysis
Choice set formation for destination choice modelling
The paradigm that has come to dominate behavioural research in geography depicts choice behaviour as the process of selecting a certain alternative from a limited set of discrete opportunities in accordance with some decision rule (Timmermans and Golledge, 1990). Modelling such behaviour is a task on the scale of the complexity of individual decision
Gentrification in the U.S. New South: Evidence from two types of African American communities in Charlotte
Trajectories of Multidimensional Neighbourhood Quality of Life Change
This paper provides an empirical analysis of the multidimensional, spatio-temporal quality of life (QoL) trends followed by neighbourhoods in Charlotte, NC, between 2000 and 2010. Employing a combined geocomputational and visual technique based on the self-organising map, the study addresses which types of neighbourhood experienced the most change or stability, where (in attribute and geographical spaces) did neighbourhoods that began the decade …
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…
City-level urban form and traffic safety: A structural equation modeling analysis of direct and indirect effects
Neighborhood Quality-of-Life Dynamics and the Great Recession: The Case of Charlotte, North Carolina
This paper examines neighborhood responses to the business cycle of the decade 1999-2009. Utilizing a quality-of-life (QoL) framework to profile neighborhoods in the city of Charlotte, North Carolina, we investigate with a Markov-chain methodology how the process of change was impacted by short-term economic fluxes including the greatest downturn since the Great Depression. Results indicate that neighborhoods falling within the lowest QoL categor…
Intermodal containerized shipping in foreign trade and regional accessibility advantages
Traveling in the three-dimensional city: Applications in route planning, accessibility assessment, location analysis and beyond
Do Transit-Dependent Neighborhoods Receive Inferior Bus Access? A Neighborhood Analysis in Four U.S. Cities
Intrajurisdictional delivery of publicly provided services often results in observable service level differences that vary by spatial subunit (neighborhood). These variations are related to the sociodemographic characteristics of neighborhoods and have been hypothesized in prior literature to be the result of bias against or favoritism toward certain neighborhoods. Using path regression, this paper examines publicly provided bus service in four c…
Variability in individual home-work activity patterns
Land wealth generation and distribution in the process of land expropriation and development in Beijing, China
Based on transaction data at the parcel level in Beijing, this paper itemizes the costs incurred in the process of transferring rural land to urban development, quantifies the exact magnitude of land appreciation generated in this process and examines how the land wealth is distributed among involved parties. The main findings include the following: first, the land appreciation and the costs incurred in the process of land expropriation and prima…
Mutual relationships in neighborhood socioeconomic change
In this article, we investigate the factors that lead to changes in the socioeconomic complexion of urban neighborhoods along four critical dimensions: crime, youth social distress, home ownership, and economic conditions. We argue that the dynamics of these dimensions are better apprehended simultaneously considering their potential mutual relationships and we propose a cross-lagged panel model approach within a structural equation modeling fram…
Climate change coalition formation and equilibrium strategies in mitigation games in the post-Kyoto Era
Wealth redistribution in urban land development under a dual land system: A case study of Beijing
Local Indicators of Network-Constrained Clusters in Spatial Patterns Represented by a Link Attribute
Clustering in a spatially distributed phenomenon is an important focus of spatial analysis because it not only suggests characteristics of the pattern itself but also of its background processes. Traditional methods of spatial cluster detection mostly rely on the planar space assumption, yet a variety of spatial phenomena do not support its logic. This article expounds on an exploratory spatial data analysis methodology named local indicators of …
Challenging the shipper's location problem in port studies: An analysis of French AOC wine shipments to the US
Spatial patterns of landside trade impedance in containerized South American exports
Uncovering regional characteristics from mobile phone data: A network science approach
Spatial competition and contestability based on choice histories of consumers
A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence
BenDor, T., D. A. Shoemaker, J.-C. Thill, M. A. Dorning, and R. K. Meentemeyer. 2014. A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence. Ecology and Society 19(3): 3. https://doi.org/10.5751/ES-06508-190303
Estimating the demand for public open space: Evidence from North Carolina municipalities
Spatial competition and market interdependence
Spatial Competition and Market Interdependence
Choice set formation for destination choice modelling
The paradigm that has come to dominate behavioural research in geography depicts choice behaviour as the process of selecting a certain alternative from a limited set of discrete opportunities in accordance with some decision rule (Timmermans and Golledge, 1990). Modelling such behaviour is a task on the scale of the complexity of individual decision
Competitive Strategies for Multi-Establishment Firms
I present an address model for the analysis of competition between multi-establishment firms that are organized according to a strict M-form structure. I investigate the structure of their equilibrium configurations in a family of scenarios where the location and value offering of establishments are modifiable but their number is fixed. The focus is on the forces that guide firms' competitive behavior and on the sensitivity of equilibrium solutio…
Collapsing Space and Time: Geographic Aspects of Communication and lnformution . Stanley D. Brunn and Thomas R. Leinbach, editors; The Reform of Housing in Eastern Europe and the Soviet Union . Bengt …
Spatial interaction modelling
Comparison of planar and network K-functions in traffic accident analysis
Intermodal Freight Transportation and Regional Accessibility in the United States
The authors investigate how the intermodal freight-transportation network affects the ability of regions to position themselves more effectively in the national space economy. The case of domestic containerized freight traffic is examined because it is closely associated with contemporary forms of integration between rail shipping and trucking. With the help of a geographic information system, the potential impact of intermodalism in the United S…
Intermodal containerized shipping in foreign trade and regional accessibility advantages
Local Indicators of Network-Constrained Clusters in Spatial Patterns Represented by a Link Attribute
Clustering in a spatially distributed phenomenon is an important focus of spatial analysis because it not only suggests characteristics of the pattern itself but also of its background processes. Traditional methods of spatial cluster detection mostly rely on the planar space assumption, yet a variety of spatial phenomena do not support its logic. This article expounds on an exploratory spatial data analysis methodology named local indicators of …
Estimating the demand for public open space: Evidence from North Carolina municipalities
Traveling in the three-dimensional city: Applications in route planning, accessibility assessment, location analysis and beyond
Do Transit-Dependent Neighborhoods Receive Inferior Bus Access? A Neighborhood Analysis in Four U.S. Cities
Intrajurisdictional delivery of publicly provided services often results in observable service level differences that vary by spatial subunit (neighborhood). These variations are related to the sociodemographic characteristics of neighborhoods and have been hypothesized in prior literature to be the result of bias against or favoritism toward certain neighborhoods. Using path regression, this paper examines publicly provided bus service in four c…
Spatial epidemiologic analysis of relative collision risk factors among urban bicyclists and pedestrians
Parallel agent-based simulation of individual-level spatial interactions within a multicore computing environment
The computational approach of agent-based models (ABMs) supports the representation of interactions among spatially situated individuals as a decentralized process giving rise to space–time complexity in geographic systems. To cope with the computational complexity of these models, this article proposes a parallel approach that leverages the power of multicore systems, as these architectures have quickly become ubiquitous in high-performance and …
Trajectories of Multidimensional Neighbourhood Quality of Life Change
This paper provides an empirical analysis of the multidimensional, spatio-temporal quality of life (QoL) trends followed by neighbourhoods in Charlotte, NC, between 2000 and 2010. Employing a combined geocomputational and visual technique based on the self-organising map, the study addresses which types of neighbourhood experienced the most change or stability, where (in attribute and geographical spaces) did neighbourhoods that began the decade …
Wealth redistribution in urban land development under a dual land system: A case study of Beijing
Mutual relationships in neighborhood socioeconomic change
In this article, we investigate the factors that lead to changes in the socioeconomic complexion of urban neighborhoods along four critical dimensions: crime, youth social distress, home ownership, and economic conditions. We argue that the dynamics of these dimensions are better apprehended simultaneously considering their potential mutual relationships and we propose a cross-lagged panel model approach within a structural equation modeling fram…
A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence
BenDor, T., D. A. Shoemaker, J.-C. Thill, M. A. Dorning, and R. K. Meentemeyer. 2014. A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence. Ecology and Society 19(3): 3. https://doi.org/10.5751/ES-06508-190303
Neighborhood Quality-of-Life Dynamics and the Great Recession: The Case of Charlotte, North Carolina
This paper examines neighborhood responses to the business cycle of the decade 1999-2009. Utilizing a quality-of-life (QoL) framework to profile neighborhoods in the city of Charlotte, North Carolina, we investigate with a Markov-chain methodology how the process of change was impacted by short-term economic fluxes including the greatest downturn since the Great Depression. Results indicate that neighborhoods falling within the lowest QoL categor…
Market Geographies
Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing
Identification, structure and dynamic characteristics of the Beijing–Tianjin–Hebei mega-city region
This article establishes identification criteria and metrics, and delineates the Beijing–Tianjin–Hebei mega-city region (BTHMCR). Through an empirical analysis of socio- economic data and of functional relationships denoted by advanced producer services (APS) and commuting flows, we focus on the dynamic characteristics of APS firms and their relevance for polycentricity in BTHMCR and find that: (i) BTHMCR grew fast and became more spatially polyc…
Border effects in a free-trade zone: Evidence from European wine shipments
This article examines shipments of wine from European producers to 16 European ports. The research question focuses on disaggregated decisions about which port to use controlling for distance, port fixed effects and whether a national border must be crossed to reach the port. Using a conditional logit model we find heterogeneous impacts of transportation costs and national borders on port choice across shippers of various sizes. Based on the esti…
Uncovering regional characteristics from mobile phone data: A network science approach
Geography (36 works) · Computer Science (34 works) · Economics (26 works) · Engineering (24 works) · Business (22 works) · Economic geography (17 works) · Mathematics (16 works) · Urban Transport and Accessibility (15 works) · Transport engineering (14 works) · Sociology (12 works)