Accessibility research has been conducted in various fields such as traffic engineering, transportation planning, urban planning, tourism, and social science. Research has been mainly focused on the interaction between transportation and land use using aggregate spatial data (land use and socio-economic data at the zone level) and aggregate travel attribute data (travel distance or travel time by mode), which have traditionally been used to estimate accessibility. In recent years, the available input data necessary for accessibility estimation has become more abundant and considerable progress has been made in analytical methods. Hence, more research results are expected in this field as well.

However, the concept and application of accessibility have considerable room for further study. For example, accessibility, proximity, connectivity, and mobility are used as synonyms in some cases and are visualized as different concepts. Such a terminological inconsistency raises credibility issues because the same term is used even though the methods of estimation differ. Studies that clearly define the concepts and methods of accessibility estimation are needed. In addition, more applied research is necessary for a better understanding of accessibility because there is still a lack of relevant studies despite the abundance of big data generated to estimate and analyze accessibility.

The aim of this Special Issue is to collect original research articles and review articles rethinking the accessibility study conceptually and empirically. Disaggregate data such as various Point of Interest (POI) data, smartphone’s Call Detailed Record (CDR) data, individual car trajectory data, and Internet of Things (IoT) data are expected to extend the following research areas: regional growth, medical service, housing, employment, tourism, inclusion, value, and standards among others. Discussions about mobility, proximity, connectivity, centrality, substitutability, and vulnerability should be made more conceptually as they are similar or related to accessibility.

Potential topics include but are not limited to the following:

• Spatiotemporal accessibility measure with big data
• Decomposition and policy implications of the concept of accessibility
• New accessibility concepts from new data sources (individual CDR, individual car trajectory data, IoT data, etc.)
• Accessibility studies using panel data although they are in a traditional input data format
• Influence of pathfinding, individual travel time, and accessibility studies on multimodal networks
• Accessibility studies on logistics and freight networks
• Valuing in accessibility improvement (urban design, transport facilities, autonomous vehicle mode adoption)
• Value of accessibility due to urban redevelopment (regional growth, housing, employment center renovation, etc.)
• Research on inclusion and equity of accessibility from new data sources
• Research on accessibility to medical facilities and basic social overhead capital (SOC) facilities
• Consonance/dissonance between objective and subjective/perceived accessibility
• Accessibility in urban versus rural areas
• Neighborhood design to support accessibility of human scale
• Value of accessibility improvement by road and rail investment
• Comparison of accessibility instruments in planning practice