Meihan Jin

• PhD in Geomatics
• Assistant Professor at Shenzhen Technology University

Understanding the effect of built environment on travel behavior has been an important research issue in transportation, geography, and urban planning. Geographic scales for travel behavior research have started attracting attentions in recent years. In this research, we proposed a method to extract suitable geographic scales of built environment i...

With the wide use and accessibility of automated fare collection systems (AFC) data, public transit origin–destination (OD) inferring has facilitated various geo-spatial studies. Due to data errors and human travel activity dynamics, OD inferring is always challenging. Although a large number of researchers have proposed multiple OD inferring metho...

Detecting borders of urban activity spaces is essential for understanding urban dynamic structures. The emerging big geo-data help to extract valuable knowledge about the relationship between urban structures and human activities at fine granularities. Despite the well-developed urban structure and transportation network design technology, barriers...

Spatial interaction is an important phenomenon that reflects the human–land relationship and has long been a core topic in multiple fields, such as urban planning, transportation planning, commodity trade, and epidemic prevention. However, as an underlying cause of spatial interaction, function complementarity has been ignored by existing research...

Residents’ activity space reflects multiple aspects of human life related to space, time, and type of activity. How to measure the activity space at multiple geographic scales remains a problem to be solved. Recently, the emergence of big data such as mobile phone data and point of interest data has brought access to massive geo-tagged datasets to...

Public medical service facilities are among the most basic needs of the public and are directly related to residents’ health. The balanced development of medical service facilities is of great significance. Public medical service facilities can be divided into different levels according to their medical equipment, service catchment, and medical qua...

The continuous development and complexity of many modern cities offer many research challenges for urban scientists searching for a better understanding of mobility patterns that happen in space and time. Very large trajectory datasets are often publicly generated thanks to the availability of multiple positioning sensors and location-based service...

La croissance rapide et la complexité de nombreuses villes contemporaines offrent de nombreuxdéfis de recherche pour les scientifiques à la recherche d'une meilleure compréhension des mobilités qui seproduisent dans l'espace et dans le temps. A l’heure où de très grandes séries de données de trajectoires en milieuurbain sont disponibles grâce à pro...

Massive trajectory datasets generated in modern cities generate not only novel research opportunities but also important methodological challenges for academics and decision-makers searching for a better understanding of travel patterns in space and time. This PhD research is oriented towards the conceptual and GIS-based modeling of human displacem...