Walking Experience Evaluation Using Multiple Survey Methods: A Case Study of Shanghai

Xie, Yingkun1; Hui, Ying2; Wang, Yujiao3; Yu, Qing4

2023

23rd COTA International Conference of Transportation Professionals (CICTP) - Innovation-Empowered Technology for Sustainable, Intelligent, Decarbonized, and Connected Transportation

CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION

JUL 14-17, 2023

null,Beijing,PEOPLES R CHINA

UNITED ENGINEERING CENTER, 345 E 47TH ST, NEW YORK, NY 10017-2398 USA

AMER SOC CIVIL ENGINEERS

Evaluating walking experience is the basis of active transportation development and street redesign. However, how to better carry out such an evaluation is still an unresolved problem. This paper proposes a methodology framework to evaluate the effect of virtual reality on its potential application scenarios and compare it with traditional picture and field surveys. The data captured by the three survey methods were used to evaluate the street walking experience according to three concerns: street space allocation, street vitality, and street planting. Then, a multiple layered linear regression model was established to calculate the index weights for the different approaches. For the case study, this paper took eight typical branch roads in Shanghai as study subjects and evaluated the walking experience through field survey, picture survey, and VR survey. The results show that for each walking experience concern, respectively, the virtual reality survey has its unique advantages in certain scenarios.

其他

英语

EI ; CPCI-S ; CPCI-SH

National Natural Science Foundation of China[51978475]

Engineering ; Transportation

Engineering, Civil ; Transportation ; Transportation Science & Technology

WOS:001196979900230

Web of Science

1.Shanghai Urban Planning & Design Research Institute, Shanghai, China
2.Key Laboratory of Road and Traffic Engineering, Ministry of Education, College of Transportation Engineering, Tongji Univ., Shanghai, China
3.Veoneer China Co. Ltd., Shanghai, China
4.Research Institute of Trustworthy Autonomous Systems, Southern Univ. of Science and Technology, Shenzhen, China

Xie, Yingkun,Hui, Ying,Wang, Yujiao,et al. Walking Experience Evaluation Using Multiple Survey Methods: A Case Study of Shanghai[C]. UNITED ENGINEERING CENTER, 345 E 47TH ST, NEW YORK, NY 10017-2398 USA:AMER SOC CIVIL ENGINEERS,2023.