Abstract
Spatial accessibility provides significant policy implications, describing the spatial disparity of access and supporting the decision-making process for placing additional infrastructure at adequate locations. Several previous reviews have covered spatial accessibility literature, focusing on empirical findings, distance decay functions, and threshold travel times. However, researchers have underexamined how spatial accessibility studies benefitted from the recently enhanced availability of dynamic variables, such as various travel times via different transportation modes and the finer temporal granularity of geospatial data in these studies. Therefore, in our review, we investigated methodological advancements in place-based accessibility measures and scrutinized two recent trends in spatial accessibility studies: multimodal spatial accessibility and temporal changes in spatial accessibility. Based on the critical review, we propose two research agendas: improving the accuracy of measurements with dynamic variable implementation and furnishing policy implications granted from the enhanced accuracy. These agendas particularly call for the action of geographers on the full implementation of dynamic variables and the strong linkage between accessibility and policymaking.
Highlights
Spatial accessibility explains the ease of access from a geographical unit to an infrastructure of interest [1]
It is acknowledged that implementing dynamic variables enhanced the accuracy of measurements, we found in the exhaustive review in the previous section that dynamic spatial accessibility has not been applied to its fullest
We thoroughly examined the methodological advancements and empirical findings of dynamic spatial accessibility, incorporating dynamic variables into the measurements
Summary
Spatial accessibility explains the ease of access from a geographical unit to an infrastructure of interest [1]. It is essential to follow up on how recent studies have adopted this suggestion and enhanced the performance of measurements In this decade, the availability of dynamic geospatial data has increased significantly through big-data analysis and open-data policy, the implementation of multimodal transportation and spatial and temporal disaggregation. It is possible to further investigate the nonhomogeneous distribution of people within conventionally coarser geographical units (e.g., neighborhoods, census tracts) and to systematically estimate the time-variant distribution of floating populations Dynamic variables, such as multimodal transportation and spatial and temporal disaggregation, have been incorporated into the measurements of spatial accessibility studies, which have benefitted from advancements in geospatial data. By reading their abstracts, we investigated methodological improvements regarding accessibility measurements and recent trends in dynamic variable implementation (i.e., multimodal transportation and spatial and temporal disaggregation of measures). This paper focused on place-based accessibility measures, which assess accessibility based on geographical units (e.g., census tracts, traffic analysis zones), and excluded people-based accessibility measures (i.e., accessibility of individual trajectories) [28,29]
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