Work

Proposal for the generation of network data for pedestrians in South Korea using large-scale maps

Year: 2015

Type: article

Abstract: As a pedestrian navigation system becomes popular recently, there have been demands on generating network data for pedestrians with a high Level of Detail (LOD) efficiently. To meet on demands, we proposed a new approach to delineate network data for pedestrians with a high LOD for commercial routing services. We set out to clearly redefine walking areas where pedestrians can move freely based on previous research. Next, we present a method to extract walking areas after analysing relationships between walking areas and objects of large-scale maps. Network data for pedestrians are then generated by vectorizing the extracted walking areas with considering visibility of pedestrians and pedestrian movement characteristics and finally merging them. In the evaluation, we can identify that extracted walking areas reflect the real world and network data that are generated by the proposed method have a high LOD, which is available in commercial routing services for a pedestrian.

Source: KSCE Journal of Civil Engineering

DOI: 10.1007/s12205-015-0694-4

Authors: Jiyoung Kim, Yong Huh, Jung Ok Kim, Jae Bin Lee

Institutions: Seoul National University, Institute of Construction and Environmental Engineering, Land and Geospatial Informatix Corporation (South Korea), Mokpo National University

Language: English

Topic: Geographic Information Systems Studies

Subfield: Geography, Planning and Development

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $1,800