Hanxi Ma
Biographic Data
| ID | 3720047 |
|---|---|
| NAME | Hanxi Ma |
| GIVEN NAMES | Hanxi |
| FAMILY NAME | Ma |
| SIGNATURE | MA H |
| AFFILIATIONS | University of Hong Kong |
| ORCID | 0000-0001-9638-662X |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Intentional travel group and social network
Using multiday continuous smartcard data in 2020, we investigate group-based travel in Hong Kong metro system by identifying metro riders intentionally traveling in groups (ITGs). ITGs serve as our proxies for citywide physical social interactions. Considering ITG members are interrelated through group-based trips, we construct a social network (an ITG network) formed by ITGs to explore the network properties and structures of ITG activities. Exa…
Unravelling cross-boundary travel flow and its place-based explanatory factors in the Hong Kong metro system
Cross-boundary travel flows highlight urban integration and interdependence between cities with territorial boundaries. Cross-boundary travellers exhibit varying travel purposes, behaviours and demands for facilities and opportunities. Existing research rarely conducts large-scale analysis of these distinct travellers and their travel behaviours. This study develops analytical techniques to examine different types of non-local cross-boundary trav…
More short-term plans than longer-term ones? Measuring and monitoring urban centrality as dynamic interaction propensity
Metro travel and perceived Covid-19 infection risks
Significance of metro stations and their surroundings
Revisiting the valuable locales in our cities? Visualizing social interaction potential around metro station areas in Wuhan, China
A complete tour of metro users consists of their journeys inside the carriage and various activities outside the carriage, in particular, those in or around metro station areas (MSAs). To fathom out the spatiality and magnitude of those activities, which involve substantial interactions among people or with urban spaces, we assume that (a) metro users who spent 30 min or more together in or around the same MSA would physically interact with at le…
Abrupt changes, institutional reactions, and adaptive behaviors
Familiar strangers” in the big data era
One-sided or two-sided love? Visualizing connections between metro station pairs in Beijing
As more and more metro lines and stations have started serving our metropolises, they have (re)shaped our travels and lives, creating (new) venues and (additional) opportunities for serendipitous contacts. To know the odds and locales of serendipitous contacts among millions of metro riders, we employ the smartcard data of the metro riders in Beijing to visualize metro riders' identifical trip trajectories and to visualize/disclose connections be…
Familiar strangers” in the big data era
One-sided or two-sided love? Visualizing connections between metro station pairs in Beijing
As more and more metro lines and stations have started serving our metropolises, they have (re)shaped our travels and lives, creating (new) venues and (additional) opportunities for serendipitous contacts. To know the odds and locales of serendipitous contacts among millions of metro riders, we employ the smartcard data of the metro riders in Beijing to visualize metro riders' identifical trip trajectories and to visualize/disclose connections be…
Abrupt changes, institutional reactions, and adaptive behaviors
Significance of metro stations and their surroundings
Revisiting the valuable locales in our cities? Visualizing social interaction potential around metro station areas in Wuhan, China
A complete tour of metro users consists of their journeys inside the carriage and various activities outside the carriage, in particular, those in or around metro station areas (MSAs). To fathom out the spatiality and magnitude of those activities, which involve substantial interactions among people or with urban spaces, we assume that (a) metro users who spent 30 min or more together in or around the same MSA would physically interact with at le…
Metro travel and perceived Covid-19 infection risks
Intentional travel group and social network
Using multiday continuous smartcard data in 2020, we investigate group-based travel in Hong Kong metro system by identifying metro riders intentionally traveling in groups (ITGs). ITGs serve as our proxies for citywide physical social interactions. Considering ITG members are interrelated through group-based trips, we construct a social network (an ITG network) formed by ITGs to explore the network properties and structures of ITG activities. Exa…
Unravelling cross-boundary travel flow and its place-based explanatory factors in the Hong Kong metro system
Cross-boundary travel flows highlight urban integration and interdependence between cities with territorial boundaries. Cross-boundary travellers exhibit varying travel purposes, behaviours and demands for facilities and opportunities. Existing research rarely conducts large-scale analysis of these distinct travellers and their travel behaviours. This study develops analytical techniques to examine different types of non-local cross-boundary trav…
More short-term plans than longer-term ones? Measuring and monitoring urban centrality as dynamic interaction propensity
Geography (8 works) · Business (7 works) · Urban Transport and Accessibility (7 works) · Engineering (6 works) · Transport engineering (6 works) · Human Mobility and Location-Based Analysis (5 works) · Advertising (4 works) · Computer Science (4 works) · Transportation Planning and Optimization (4 works) · China (3 works)