Konstadinos G Goulias
Biographic Data
| ID | 4895408 |
|---|---|
| NAME | Konstadinos G Goulias |
| GIVEN NAMES | Konstadinos G |
| FAMILY NAME | Goulias |
| SIGNATURE | GOULIAS K G |
| AFFILIATIONS | University of California, Santa Barbara |
| ORCID | 0000-0002-7436-9447 |
| VERIFIED | Yes |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 17 |
| WORKS AS AUTHOR | 19 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1991 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Dissimilarities in the Covid-19 pandemic reshaping of time use and travel in metropolitan and nonmetropolitan resident behavior from 2019 to 2023
Research has shown that COVID-19 has impacted both short- and long-term aspects of individuals' daily schedules, yet its effects on metropolitan versus nonmetropolitan residents remain underexplored. Leveraging American Time Use Survey data from 2019 to 2023, this study applies diversity indices, sequence analysis, and statistical methods to investigate the pandemic's differential influence on metropolitan and nonmetropolitan daily routines, focu…
Complex network analysis of fossil fuel functional regions in the United States during the period 2017 to 2022
In this paper we use complex network analysis to describe fossil fuel spatial flows among 132 places covering the entire United States in 2017 and in 2022. These spatial flows are for crude petroleum, gasoline, and oil fuels. The analysis shows that all three fuels have different network topology. For all six networks we find major hubs of crude petroleum and its products, gasoline and fuel oils, concentrated in areas with large reserves such as …
Exploring the impact of Covid-19 pandemic on Americans time use related subjective wellbeing
In this study, the most recent American Time Use Surveys containing reported activity-based emotions and sensations information before (10,378 respondents in 2013) and during (6,902 respondents in 2021) the COVID-19 pandemic are used to assess if time use related individuals' subjective wellbeing (SWB) decreased in the pandemic. Given that the coronavirus has been shown to strongly influence activity decisions and social interactions, sequence an…
Untangling the relationships among residential environment, destination choice, and daily walk accessibility
Accessibility to opportunities is strongly correlated with travel behaviors. This research, in particular, centered on individual daily accessibility, which quantifies the total number of opportunities of each type that can be reached within a certain travel time from the destinations an individual visited in a day. Existing studies rarely focused on the interrelationships among people’s socio-demographic characteristics, residential built enviro…
Spatiotemporal analysis of activity-travel fragmentation based on spatial clustering and sequence analysis
In this study using data from the 2017 National Household Travel Survey in California from 26,078 survey participants, sequence analysis is used to estimate a fragmentation indicator of people's daily schedules. Then, spatial clustering is used to find groups of observations with similarly high or low fragmentation using the longitude and latitude of their residential locations. This is followed by a hierarchical sequence clustering within each s…
Ortega
Understanding senior's daily mobility patterns in California using human mobility motifs
Population ageing has been a thorny issue in many countries. One of the challenges is how to improve and change transportation design and transport policy development to adapt to the dramatic changes in the composition of our population. In this paper, we apply a network-based approach of human mobility measurement called “motif” to investigate the distinct patterns in daily travel for seniors (age 60 and above) in California using the 2017 Natio…
Activity space estimation with longitudinal observations of social media data
Place happiness
Spatial analysis of access to and accessibility surrounding train stations
Decision makers and socializers, social networks and the role of individuals as participants
A household-level activity pattern generation model with an application for Southern California
Modeling travel behavior and sense of place using a structural equation model
Feasibility of using time–space prism to represent available opportunities and choice sets for destination choice models in the context of dynamic urban environments
Remembering a teacher
Immigration, residential location, car ownership, and commuting behavior
On altruists and egoists in activity participation and travel
A repeated cross-sectional evaluation of car ownership
Impact of telecommuting on spatial and temporal patterns of household travel
Spatial analysis of access to and accessibility surrounding train stations
Modeling travel behavior and sense of place using a structural equation model
Spatiotemporal analysis of activity-travel fragmentation based on spatial clustering and sequence analysis
In this study using data from the 2017 National Household Travel Survey in California from 26,078 survey participants, sequence analysis is used to estimate a fragmentation indicator of people's daily schedules. Then, spatial clustering is used to find groups of observations with similarly high or low fragmentation using the longitude and latitude of their residential locations. This is followed by a hierarchical sequence clustering within each s…
Impact of telecommuting on spatial and temporal patterns of household travel
A repeated cross-sectional evaluation of car ownership
On altruists and egoists in activity participation and travel
Immigration, residential location, car ownership, and commuting behavior
Remembering a teacher
Feasibility of using time–space prism to represent available opportunities and choice sets for destination choice models in the context of dynamic urban environments
Decision makers and socializers, social networks and the role of individuals as participants
A household-level activity pattern generation model with an application for Southern California
Modeling travel behavior and sense of place using a structural equation model
Place happiness
Spatial analysis of access to and accessibility surrounding train stations
Activity space estimation with longitudinal observations of social media data
Ortega
Understanding senior's daily mobility patterns in California using human mobility motifs
Population ageing has been a thorny issue in many countries. One of the challenges is how to improve and change transportation design and transport policy development to adapt to the dramatic changes in the composition of our population. In this paper, we apply a network-based approach of human mobility measurement called “motif” to investigate the distinct patterns in daily travel for seniors (age 60 and above) in California using the 2017 Natio…
Spatiotemporal analysis of activity-travel fragmentation based on spatial clustering and sequence analysis
In this study using data from the 2017 National Household Travel Survey in California from 26,078 survey participants, sequence analysis is used to estimate a fragmentation indicator of people's daily schedules. Then, spatial clustering is used to find groups of observations with similarly high or low fragmentation using the longitude and latitude of their residential locations. This is followed by a hierarchical sequence clustering within each s…
Exploring the impact of Covid-19 pandemic on Americans time use related subjective wellbeing
In this study, the most recent American Time Use Surveys containing reported activity-based emotions and sensations information before (10,378 respondents in 2013) and during (6,902 respondents in 2021) the COVID-19 pandemic are used to assess if time use related individuals' subjective wellbeing (SWB) decreased in the pandemic. Given that the coronavirus has been shown to strongly influence activity decisions and social interactions, sequence an…
Untangling the relationships among residential environment, destination choice, and daily walk accessibility
Accessibility to opportunities is strongly correlated with travel behaviors. This research, in particular, centered on individual daily accessibility, which quantifies the total number of opportunities of each type that can be reached within a certain travel time from the destinations an individual visited in a day. Existing studies rarely focused on the interrelationships among people’s socio-demographic characteristics, residential built enviro…
Complex network analysis of fossil fuel functional regions in the United States during the period 2017 to 2022
In this paper we use complex network analysis to describe fossil fuel spatial flows among 132 places covering the entire United States in 2017 and in 2022. These spatial flows are for crude petroleum, gasoline, and oil fuels. The analysis shows that all three fuels have different network topology. For all six networks we find major hubs of crude petroleum and its products, gasoline and fuel oils, concentrated in areas with large reserves such as …
Dissimilarities in the Covid-19 pandemic reshaping of time use and travel in metropolitan and nonmetropolitan resident behavior from 2019 to 2023
Research has shown that COVID-19 has impacted both short- and long-term aspects of individuals' daily schedules, yet its effects on metropolitan versus nonmetropolitan residents remain underexplored. Leveraging American Time Use Survey data from 2019 to 2023, this study applies diversity indices, sequence analysis, and statistical methods to investigate the pandemic's differential influence on metropolitan and nonmetropolitan daily routines, focu…
Urban Transport and Accessibility (14 works) · Computer Science (12 works) · Geography (12 works) · Engineering (10 works) · Transport engineering (10 works) · Sociology (8 works) · Transportation Planning and Optimization (7 works) · Psychology (6 works) · Demography (5 works) · Econometrics (5 works)