[1] Lu Ruiying, , Guo Xiucheng, et al. Tourist travel behavior in rural areasconsidering bus route preferences [J]. Journal of Southeast University (English Edition), 2023, 39 (1): 49-61. [doi:10.3969/j.issn.1003-7985.2023.01.006]

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Tourist travel behavior in rural areasconsidering bus route preferences()

考虑公交线路偏好的乡村游客出行行为

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

39

Issue:

2023 1

Page:

49-61

Research Field:

Traffic and Transportation Engineering

Publishing date:

2023-03-20

Info

Title:

Tourist travel behavior in rural areasconsidering bus route preferences

考虑公交线路偏好的乡村游客出行行为

Author(s):

Lu Ruiying¹;  2;  3;  Guo Xiucheng¹;  2;  3;  Li Juchen¹;  2;  3;  Liu Pei³;  Lin Chenxi¹;  3

¹Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China
²Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China
³School of Transportation, Southeast University, Nanjing 211189, China

卢瑞颖¹;  2;  3;  过秀成¹;  2;  3;  李居宸¹;  2;  3;  刘培³;  林晨曦¹;  3

¹东南大学江苏省城市智能交通重点实验室, 南京 211189; ²东南大学江苏省现代城市交通技术协同创新中心, 南京 211189; ³东南大学交通学院, 南京 211189

Keywords:

rural tourism;  bus route preference;  travel mode choice;  trip chain;  nested logit model

乡村旅游;  公交线路偏好;  出行方式选择;  出行链;  nested logit模型

PACS:

U49

DOI:

10.3969/j.issn.1003-7985.2023.01.006

Abstract:

To explore the travel behavior mechanism of tourists and encourage the use of tourist buses, realizing the dynamic balance between travel demand and transportation supply in rural areas, the bus route preferences of tourists based on trip chains and travel mode choices were analyzed. A nested logit model with trip chain pattern as the top level, travel mode choice as the middle level, and bus route preference as the third level was estimated by using tourism travel survey data collected from 546 respondents in Lishui, Nanjing, in 2021. The results indicate that travel mode choice significantly affects tourists’ choice of a complex chain with featured scenic spots; bus route preference has a marked impact on private cars. Further, the results clarify the influence of tourists’ sociodemographic attributes, tourism travel characteristics, and bus travel intention on the three choice levels. Finally, policies for improving bus operation efficiency and service quality were proposed for rural areas similar to Lishui, Nanjing.

为了探索游客出行行为机理并鼓励旅游公交的使用, 实现乡村地区旅游需求与交通供给的动态平衡, 基于出行链和出行方式选择分析了乡村游客的公交线路偏好.利用2021年于南京溧水采集的546份乡村旅游调查数据, 标定了以出行链模式为上层、旅游方式选择为中层、公交路线偏好为下层的nested logit模型.研究结果表明:出行方式选择会显著影响游客对包含特色乡村旅游景点的复杂出行链的选择, 选择私家车的游客对公交路线偏好的反馈较为明显;阐述了游客的社会人口属性、旅游出行特征和公交出行意愿对模型3个选择层次的影响.最后, 针对类似于南京溧水的地区提出了提高乡村旅游公交运营效率和服务质量的政策建议.

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Memo

Memo:

Biographies: Lu Ruiying(1997—), female, graduate; Guo Xiucheng(corresponding author), male, doctor, professor, seuguo@163.com.
Citation: Lu Ruiying, Guo Xiucheng, Li Juchen, et al. Tourist travel behavior in rural areas considering bus route preferences[J].Journal of Southeast University(English Edition), 2023, 39(1):49-61.DOI:10.3969/j.issn.1003-7985.2023.01.006.

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