This research attempted to explore the online civil complaints and examine the possibility of availability of using the complaints as perception data in crash risk research within the context of the Seoul Metropolitan area. Applying the text mining, we qualitatively explored how people define the urban problems and the method to extract complaints which indicate crash risk. Furthermore, we empirically examined whether there exists significant relationship between actual crash and the crash risk complaints as risk perception data. The main results are as follows.
This study is important in that it explored the overall civil complaints in Seoul city for 8 years, tried to understand the civil complaints as a perception data and figured out the significant relationship between actual crash and perceived crash risk which measured by civil complaints. Exploring the civil complains on the specific region for the years help to understand which urban issues are recognized important to the residents. Furthermore, as a meaning of perception, complaints which have the contents about warning the cash risk could take a role as risk perception.
The results of the study may help to understand the general citizen’s recognition on urban problems.
Also, with these methodology to access the urban problems, policy makers can consider the life-related urban problems which are urgent and important in that daily conflict.
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REFERENCES
Baltagi, B. H. (2005) Econometric Analysis of Panel Data (third ed.) John Wiley & Sons
Bendavid-Val, A. (1991). Regional and local economic analysis for practitioners.(Fourth Edition).
Westport, CT, Praeger, 1991.
Chin, H. C., & Quddus, M. A. (2003). Applying the random effect negative binomial model to examine traffic accident occurrence at signalized intersections. Accident Analysis & Prevention, 35(2), 253-259.
Chun, & Kim. (2009). A Study on Civil Petitions of Residents in Newtown Projects The Case of Eunpyeong Newtown Project in Seoul. 주거환경 (한국주거환경학회논문집), 7, 105-120.
Clifton, K. J., Burnier, C. V., & Akar, G. (2009). Severity of injury resulting from pedestrian–vehicle crashes: What can we learn from examining the built environment?. Transportation research part D: transport and environment, 14(6), 425-436.
Diógenes, M. C., Lindau, L. A., & de Transportes–LASTRAN, L. D. S. (2010). RISK PERCEPTION OF PEDESTRIANS AT MIDBLOCK CROSSINGS IN BRAZIL. In Proceedings of the 12th World Conference on Transport Research (WCTR) (pp. 1-19).
Elias, W., & Shiftan, Y. (2014). Analyzing and modeling risk exposure of pedestrian children to involvement in car crashes. Accident Analysis & Prevention, 62, 397-405.
Hadayeghi, A., Shalaby, A., & Persaud, B. (2003). Macrolevel accident prediction models for evaluating safety of urban transportation systems. Transportation Research Record: Journal of the Transportation Research Board, (1840), 87-95.
Ivan, J. N., Wang, C., & Bernardo, N. R. (2000). Explaining two-lane highway crash rates using land use and hourly exposure. Accident Analysis & Prevention, 32(6), 787-795.
Jeon J. S (2009). Seeking Institutional Alternatives for Collective Appeals.
한국지방자치학회 학술대회
, 45-62.Jeon Y. P., Choi J.H., & Lee G. S.(2003). Local Autonomy and Citizen Participation in Korea: Focusing on the Participation in Daegu
Jin D. S. (2010). A Study of Citizen Participation in Regional Development – Focused on the Newtown Project of the Seoul Metropolitan Government (Doctoral dissertation, Konkuk University)
41
Jung H. Y. (2006). A Study on Efficient Solution for Collective Petitions – Centering on Chuncheongnam-do Province
지방행정연구
, 20(4), 83-108.Kang K. Y., & Dong J. K. (2009). A Study on Improvement of Conflict between Private and Governmental Entities in Urban Regeneration Projects - Focusing on actual cases arising out of LU1 City Project in Incheon.
대한건축학회 학술발표대회 논문집
-계획계
, 29(1), 571-574.Kim, K., Brunner, I., & Yamashita, E. (2006). Influence of land use, population, employment, and economic activity on accidents. Transportation Research Record: Journal of the Transportation Research Board, (1953), 56-64.
Kim K. C., Kim Y. J., & Choi H. (2014). Analysis of the Kind of Cadastral Non-coincidence Complaints in Gyeongnam. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 32(4-2), 387-392.
Kim Y. H., Park J.O., & Sung B. Y. (2009). A Study on the Collective Civil Appeals of Demanding in Compensating of Public Land Acquisition.
대한부동산학회지
, 27(2), 81-96.Kwon M. H., & Kim S. J. (2013). A Study on the Complaint Patterns of Apartment’s Residents.
한국주거학회 학술대회논문집
, 303-307.Lee J. E., Shin Y. H., & Byun S. S. (2006). Management Strategy for the Location Selection Conflict of the Residents" Evasion Facilities
현대사회와 행정
, 16, 27-54.Lee S. Y., & Lee J. S. (2014). Neighborhood Environmental Factors Affecting Child and Old Adult Pedestrian Accident.
한국도시설계학회지 도시설계
, 15(6), 5-15.Lord, D., Washington, S. P., & Ivan, J. N. (2005). Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory. Accident Analysis &
Prevention, 37(1), 35-46.
Oltedal, S., Moen, B. E., Klempe, H., & Rundmo, T. (2004). Explaining risk perception: An evaluation of cultural theory. Trondheim: Norwegian University of Science and Technology, 85(1-33), 86.
Ouyang, Y., & Bejleri, I. (2014). Geographic Information System-Based Community-Level Method to Evaluate the Influence of Built Environment on Traffic Crashes. Transportation Research Record:
Journal of the Transportation Research Board, (2432), 124-132.
Park S. H. (2014). The Effect of the Neighborhood Built Environment on Pedestrian-Vehicle Collisions.
Journal of Korea Planning Association, 49(3), 143-157.
42
Park, Y., Lee, G., & Cho, G. H. (2016). Does a Compact City Promote the Pedestrian Safety? Journal of Korea Planning Association, 51(2), 141.
Perry, A. C. (1939). Housing for the machine age. Russel Sage Foundation, New York.
Rajamani, J., Bhat, C., Handy, S., Knaap, G., & Song, Y. (2003). Assessing impact of urban form measures on nonwork trip mode choice after controlling for demographic and level-of-service effects. Transportation Research Record: Journal of the Transportation Research Board, (1831), 158-165.
Rankavat, S., & Tiwari, G. (2016). Pedestrians risk perception of traffic crash and built environment features–Delhi, India. Safety science, 87, 1-7.
Schneider, R. J., Ryznar, R. M., & Khattak, A. J. (2004). An accident waiting to happen: a spatial approach to proactive pedestrian planning. Accident Analysis & Prevention, 36(2), 193-211.
Seo, I.H., & Gong, G.S. (2016). Factors Influencing on the Community Residents` Perception of Community Problems: Focused on Analytical Issues of Community Needs Assessment for Community Welfare Planning..
한국자치행정학보
, 30(3), 313-334.Sjöberg, L., Moen, B. E., & Rundmo, T. (2004). Explaining risk perception. An evaluation of the psychometric paradigm in risk perception research, 33.
Son, J.H., Ryu, G.H., Song, Y.J., Bae, E.S., & Park, H.G. (2015). The Effect of Social Problem Awareness on the Degree of Community Attachment - Focused on the old and new inner city in Busan.
한국지역사회복지학
, 54, 153-179.Ukkusuri, S., Miranda-Moreno, L. F., Ramadurai, G., & Isa-Tavarez, J. (2012). The role of built environment on pedestrian crash frequency. Safety science, 50(4), 1141-1151.
Washington, S. P., Karlaftis, M. G., & Mannering, F. (2010). Statistical and econometric methods for transportation data analysis. CRC press.
Wier, M., Weintraub, J., Humphreys, E. H., Seto, E., & Bhatia, R. (2009). An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning.
Accident Analysis & Prevention, 41(1), 137-145.
Won, T. H., & Yoo, H. H. (2016). Pattern Analysis for Civil Complaints of Local Governments Using a Text Mining. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 34(3), 319-327.
A Survey on E-government Service 2016