Browse > Article

A New Route Guidance Method Considering Pedestrian Level of Service using Multi-Criteria Decision Making Technique  

Joo, Yong-Jin (Institute of Urban Science, University of Seoul)
Kim, Soo-Ho (Dept. of GeoInformatic Engineering, In-ha University)
Publication Information
Abstract
The route finding analysis is an essential geo-related decision support tool in a LBS(Location based Services) and previous researches related to route guidance have been mainly focused on route guidances for vehicles. However, due to the recent spread of personal computing devices such as PDA, PMP and smart phone, route guidance for pedestrians have been increasingly in demand. The pedestrian route guidance is different from vehicle route guidance because pedestrians are affected more surrounding environment than vehicles. Therefore, pedestrian path finding needs considerations of factors affecting walking. This paper aimed to extract factors affecting walking and charting the factors for application factors affecting walking to pedestrian path finding. In this paper, we found various factors about environment of road for pedestrian and extract the factors affecting walking. Factors affecting walking consist of 4 categories traffic, sidewalk, network, safety facility. We calculated weights about each factor using analytic hierarchy process (AHP). Based on weights we calculated scores about each factor's attribute. The weight is maximum score of factor. These scores of factor are used to optimal pedestrian path finding as path finding cost with distance, accessibility.
Keywords
LBS(Location Based Service); Route Guidance; Route Finding; Pedestrian; AHP;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Hyeyoung Kim et al., 2006, "An Accessibility-incorporated Pedestrian Routing Algorithm", Fall Conference on Geographic Information System Association of Korea, pp. 87-96.
2 Hyeyoung Kim et al., 2007, "Syntax-based Accessibility Analysis Algorithm for Indoor Space", Fall Conference on Geographic Information System Association of Korea, pp. 247-256.
3 Jongeon Lee et al., 2008, "Department of Transportation Algorithm for Pedestrian in Shopping Area", Journal of Korean Society of Civil Engineers Vol.28, No.2D, pp. 147-154.
4 Greenwald, M. J., & Boarnet, M. G., 2000, "Built environment as determinant of walking behaviour: analyzing non-work pedestrian travel in Portland, Oregon." Transportation Research Record, Vol.1780, pp. 33-42.
5 Handy, S. 1996 "Methodology for Exploring the link between urban Form and Travel Behavior." Transportation Research Part D 1(2): pp. 151-165   DOI   ScienceOn
6 Handy, S. L., 1996, "Urban form and pedestrian choice; study of Austin neighborhoods." Transportation Research Record, Vol.1552, pp. 135-144.   DOI
7 Gopal, S., & Smith, T. R., 1990, "Human way-Wnding in an urban environment: a performance analysis of a computational process model." Environment and Planning A, 22, pp. 169-191   DOI
8 Hieronymus C. Borst et al., 2009, "Influence of environmental street characteristics on walking route choice of elderly people", Journal of Environmental Psychology 29, pp. 477-484.   DOI   ScienceOn
9 Carol A Lawton, 2002, "Gender Differences in Wayfinding Strategies and Anxiety About Wayfinding: A Cross-Cultural Comparison," Sex Roles, Vol.47, No.9/10, pp. 389-401   DOI   ScienceOn
10 Chao Li, 2006, "User preferences, information transactions and location-based services: A study of urban pedestrian wayfinding," Computers, Environment and Urban Systems, Vol.30, pp. 726-740   DOI   ScienceOn
11 Moudon, A.V. et al., 2003 "Walking and Bicycling: An Evaluation of Environmental Audit Instruments" American Journal of Health Promotion Vol.18, No.1, pp. 21-37.   DOI   ScienceOn
12 Andrew J. May et al., 2003, "Pedestrian navigation aids: information requirements and design implications", Personal And Ubiquitous Computing, Vol.7, No.6, pp. 331-338   DOI   ScienceOn
13 B. Jiang, C. Liu, 2009, "Street-based topological representations and analyses for predicting traffic flow in GIS," International Journal of Geographical Information Science, Vol.23, No.9, pp. 1119-1137   DOI   ScienceOn
14 Tae-ho Kim, 2008, "An Analysis of Influencing Factors to Pedestrian Quality of Service by Utilizing Analytic Hierarchy Process" Journal of Korean Society of Road Engineers Vol.10, No.3, pp. 69-77.
15 Zhan Guo, 2008, "Pedestrian environments, transit path choice, and transfer penalties: understanding land-use impacts on transit travel", Environment and Planning B: Planning and Design, Vol.35, pp. 461-479.   DOI   ScienceOn
16 Seo H. L., 2007, "Characteristics of Walking and Neighborhood Environment in an Old Residential Neighborhood," Journal of Architectural Institute of Korea Vol.23, No.8, pp. 191-199.
17 Seneviratne, P. N., & Morrall, J. F., 1985, "Analysis of factors affecting the choice of route of pedestrians.," Transportation Planning and Technology, Vol.10, pp. 147-159.   DOI   ScienceOn
18 So-hynn Park et al., 2008, "Measuring Walkability in Urban Residential Neighborhoods: Development of Walkability Indicators, Seoul, Korea", Journal of Architectural Institute of Korea Vol.24, No.1, pp. 161-172.
19 Program on Health, Equity and Sustainability Environmental Health Section San Francisco Department of Public Health, "The Pedestrian Environmental Quality Index (PEQI): An assessment of the physical condition of streets and intersections.
20 Moudon, A. V. et al., 2007, "Attributes of environments supporting walking.,: American Journal of Health Promotion, Vol.21, pp. 448-459.   DOI   ScienceOn
21 Lee, C. et al., (2006) "The 3Ds + R: Quantifying land use and urban form correlates of walking" Transportation Research Part D11 204-215.   DOI   ScienceOn