Choice Behavior Analysis for Feeder Modes on First and Last Mile with Qualitative Factors

Jihye Kim; Ikki Kim; Hansol Yoo

doi:10.7470/jkst.2021.39.1.014

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2021 Vol.39, Issue 1 Preview Page Next Page

Article

Choice Behavior Analysis for Feeder Modes on First and Last Mile with Qualitative Factors 정성적 요인을 반영한 초단거리 접근수단의 선택 행태 연구

28 February 2021. pp. 14-29

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Abstract

Feeder modes on First and Last Mile recently have been getting attention. To carry out relevant policies, it is necessary to understand the choice behavior about feeder modes on first and last mile. Therefore we analyzed traveler’s mode choice behavior about electric scooter, autonomous bus, sharing bicycle and walking which can be introduced on First and Last Mile. On the mode choice behavior, the qualitative factors have influence as well as the quantitative factors. Therefore, this study quantified the qualitative factors which were implied “feeling danger” related to bicycle and electric scooter, and “concerning health” related to walking. The values of qualitative factor were estimated by using a binary logit model with socio-economic attributes and personal preference as independent variables, and the mode choice models were calibrated in the form of a multinomial logit model with traveler’s socio-economic attributes, mode service attributes, and qualitative factor as independent variables. The influence of the qualitative factors on traveler’s choice behavior was interpreted as unit of travel time. And the calibration analysis of transportation mode choice behavior at very short distances showed that the model is statistically significant. The calibrated model explained that the people in age 20s preferred to electric scooters comparing with other age groups and that houseperson tended to avoid walking. The passengers tended to feel danger to electric scooter more than bicycle. The effect of “feeling danger” and “concerning health” on the mode choice behavior in time unit, their effect was found as same as between 3.17 and 5.06 minutes. When considering that it is a very short-distance moving, the results showed that the qualitative factors of “feeling danger” and “concerning health” affect greatly on the traveler’s mode choice behavior. The study contributed to quantifying the qualitative factors for traveler’s mode choice behavior at very short distances. This made it possible to express the influence of qualitative factors numerically.

Keywords

binary logit model

feeder mode choice

first and last mile

multinomial logit model

qualitative factor

최근 First and Last Mile(FLM) 영역에서 초단거리의 접근 교통수단에 대한 관심이 커지고 있다. 관련된 정책을 추진하기 위해서는 통행자들의 수단선택 행태를 이해할 필요가 있다. 그러므로 본 연구는 FLM에서 도입될 수 있는 접근 교통수단인 전동 킥보드, 자율주행버스, 자전거, 도보 수단에 대한 통행자의 선택행태를 분석하였다. 통행자의 교통수단 선택행태는 정량적 요인뿐만 아니라 정성적 요인에도 영향을 받는다. 그러므로 본 연구는 자전거, 전동 킥보드 수단과 관련된 위험성이라는 정성적 요인과 도보 수단과 관련이 있는 건강에 대한 인식이라는 정성적 요인을 계량화하여 수단선택모형에 반영하였다. 정성적 요인은 개인 속성 및 개인 선호도를 독립변수로 하는 이항로짓모형으로 계량화하였으며, 수단선택모형은 개인 속성, 통행 속성, 정성적 요인을 독립변수로 하는 다항로짓모형 형태로 구축하였다. 또한 정성적 요인이 수단선택행태에 미치는 영향의 규모를 파악하기 위해 통행시간과 대체효과를 검토하였다. 초단거리에서 교통수단 선택행태 모형은 통계적으로 유의하게 결과가 나왔다. 정산된 모형은 20대의 경우 전동 킥보드를 선호하는 행태를 설명하고 있으며, 주부는 도보수단에 대해 거부적인 경향의 행태를 설명하고 있다. 또한 통행자들은 자전거보다 전동 킥보드에 더 위험성을 느끼는 경향이 있는 것으로 분석되었다. 위험성 및 건강에 대한 인식의 정성적 요인이 수단선택행태에 미치는 영향을 시간단위로 검토해보면 약 3.17-5.06분 통행시간의 규모이다. 이는 초단거리 통행이라는 점을 고려할 때 정성적 요인이 수단선택 행태에 미치는 영향이 크다는 점을 알 수 있다. 본 연구는 접근수단 선택행태에 영향을 미치는 정성적 요인을 수단선택모형에 적용하였으며 그 규모를 수치적으로 검토하였다는 점에서 의미 있는 연구이다.

키워드

이항로짓모형

접근수단선택

초단거리 접근통행

다항로짓모형

정성적 요인

References

Alex A. P., Manju V. S., Kuncheria P. I. (2016), Latent Variable Enriched Mode Choice for Work Activity in Multi Modal Condition Prevalent in India, International Journal for Traffic and Transport Engineering, 6(4), City Net Scientific Research Center Ltd., 378-389. 10.7708/ijtte.2016.6(4).02

Ben-Akiva M., Lerman S. R. (1985), Discrete Choice Analysis: Theory and Application to Travel Demand, The MIT Press, England, 165-166.

Ben-Akiva M., Mcfadden D., Garling T., Gopinath D., Walker J., Bolduc D., et al. (1999), Extended Framework for Modeling Choice Behavior, Marketing Letters, 10(3), 187-203. 10.1023/A:1008046730291

Bhin M. Y., Son S. K. (2019), A Study on the Evaluation of Social Acceptability after Boarding Automated Shuttle Bus: Pangyo Zero Shuttle, J. Korean Soc. Transp., 37(5), Korean Society of Transportation, 375-386. 10.7470/jkst.2019.37.5.375

Chang Y. (2013), Factors Affecting Airport Access Mode Choice for Elderly Air Passengers, Transportation Research Part E: Logistics and Transportation Review, 57, Elsevier, 105-112. 10.1016/j.tre.2013.01.010

Chen J., Li S. (2017), Mode Choice Model for Public Transport with Categorized Latent Variables, Mathematical Problems in Engineering, Hindawi, 2017. 10.1155/2017/7861945

Cherry C., Cervero R. (2007), Use Characteristics and Mode Choice Behavior of Electric Bike Users in China, Transportation Policy,14(3), Elsevier, 247-257. 10.1016/j.tranpol.2007.02.005

Ding L., Zhang N. (2016), A travel Mode Choice Model Using Individual Grouping Based on Cluster Analysis, Procedia engineering, 137, Elsevier, 786-795. 10.1016/j.proeng.2016.01.317

Fan A., Chen X., Wan T. (2019), How Have Travelers Changed Mode Choices for First/Last Mile Trips after the Introduction of Bicycle-Sharing Systems: An Empirical Study in Beijing, China, Journal of Advanced Transportation, 2019, Hindawi, 1-16. 10.1155/2019/5426080

Harvey G. (1986), Study of Airport Access Mode Choice, Journal of Transportation Engineering, 112(5), Ascelibrary, 525-545. 10.1061/(ASCE)0733-947X(1986)112:5(525)

Jung H. Y., Kim J. J. (2000), Mode Choice Behavior Analysis of Commuter Feeder Passengers to Subway System, J. Korean Soc. Transp., 18(5), Korean Society of Transportation, 69-82.

Kim J. H., Chung J. H., Sohn K. M. (2010), Combined RP/SP Model with Latent Variables, J. Korean Soc. Transp., 28(4), Korean Society of Transportation, 119-128.

Kim J., Rasouli S., Timmermans H. (2014), Hybrid Choice Models: Principles and Recent Progress Incorporating Social Influence and Nonlinear Utility Functions, Procedia Environmental Sciences, 22, Elsevier, 20-34. 10.1016/j.proenv.2014.11.003

Kim M. S. (1999), Development of the Mode Choice Models in Tourism Region Considering Latent Variables, Journal of the Korean Society of Civil Engineers, 19(3-4), 603-613.

Korea Health Promotion Foundation (2016), Severe Lack of Korean Excercise, Half of the Office Workers Walk less than 30 Minutes a Day. (한국인 운동부족 심각, 직장인 절반은 하루 30분도 안 걸어)

Korea Transport Database (2019), National Transportation Survey·DB System Operation and Maintenance, 2, 307.

Korf J. L., Demetsky M. J. (1981), Analysis of Rapid Transit Access Mode Choice, Transportation Research Record, 817, Transportation Research Board, 29-35.

Lee H. K., Kim J. S. (2009), A Study on Bicycle Mode Choice Model Influencing Commuters' Perception Attribute: In Case of Changwon City, Journal of Transport Research, 16(4), The Korea Transport Institute, 1-14. 10.34143/jtr.2009.16.4.1

Meng M., Koh P. P., Wong Y. D. (2016), Influence of Socio-Demography and Operating Streetscape on Last-Mile Mode Choice, Journal of Public Transportation, 19(2), 38-54. 10.5038/2375-0901.19.2.3

Moon J. U. (2009), A Study on Bicycle Accident's Decrease Method through Recognition Tendency Survey and Accident Analysis: In Seoul Citizen, Kookmin University, Master's Thesis.

Paulssen M., Temme D., Vij A., Walker J. L. (2014), Values, Attitudes and Travel Behavior: A Hierarchical Latent Variable Mixed Logit Model of Travel Mode Choice, Transportation, 41(4), Springer, 873-888. 10.1007/s11116-013-9504-3

Sanders R. L., Branion-Calles M., Nelson T. A. (2020), To Scoot or not to Scoot: Findings from a Recent Survey about the Benefits and Barriers of Using E-scooters for Riders and Non-riders, Transportation Research Part A, 139, Elsevier, 217-227. 10.1016/j.tra.2020.07.009

Shaheen S. A., Rodier C. J. (2008), Easyconnect: Low-speed Modes Linked to Transit Planning Project, Working Paper UCB-ITS-PWP-2006-7, California PATH, Institute of Transportation Studies, University of California, Berkeley.

Shin G. W., Lee K. J., Park D., Lee J. H., Yun M. H. (2018), Personal Mobility Device and User Experience: A State-of-the-art Literature Review, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 62(1), Sage, 1336-1337. 10.1177/1541931218621305

So J. H., Kim T. H., Kim M. J., Kang J. W., Lee H., Choi J. M. (2019), A Study on the Concept of Smart City and Smart City Transport, J. Korean Soc. Transp., 37(2), Korean Society of Transportation, 79-91. 10.7470/jkst.2019.37.1.079

Sobieniak J., Westin R., Rosapep T., Shine T. (1979), Choice of Access Mode to Intercity Terminals, Transportation Research Record, 728, Transportation Research Record, 47-53.

Sohn K. M., Yun J. Y. (2009), Separation of Car-dependent Commuters from Normal-choice Riders in Mode-choice Analysis, Transportation, 36(4), Springer, 423-436. 10.1007/s11116-009-9209-9

Tak S. H., Kang K. P. (2019), Strategies for Smart Transportation System Considering Level of Automated Driving Technology and Infrastructure, The Korea Transport Institute.

Tilahun N., Thakuriah P. V., Li M., Keita Y. (2016), Transit Use and The Work Commute: Analyzing the Role of Last Mile Issues, Journal of Transport Geography, 54, Elsevier, 359-368. 10.1016/j.jtrangeo.2016.06.021

Tsamboulas D., Golias J., Vlahoyannis M. (1992), Model development for metro station access mode choice, Transportation, 19(3), Springer, 231-244. 10.1007/BF01099979

Information

Publisher :Korean Society of Transportation
Publisher(Ko) :대한교통학회
Journal Title :Journal of Korean Society of Transportation
Journal Title(Ko) :대한교통학회지
Volume : 39
No :1
Pages :14-29
Received Date : 2020-07-03
Revised Date : 2020-08-13
Accepted Date : 2020-12-16
DOI :https://doi.org/10.7470/jkst.2021.39.1.014

Journal of Korean Society of Transportation ISSN:1229-1366(Print) 2234-4217(Online) 대한교통학회지

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