| Id : | 2818 | |
Author : | Wu L.; Gu T.; Chen Z.; Zeng P.; Liao Z. | |
Title | Personalized day tour design for urban tourists with consideration to CO2 emissions |
|
| Reference : | Wu L.; Gu T.; Chen Z.; Zeng P.; Liao Z. Personalized day tour design for urban tourists with consideration to CO2 emissions,Chinese Journal of Population Resources and Environment 20 3 |
|
| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141518547&doi=10.1016%2fj.cjpre.2022.09.004&partnerID=40&md5=47b66222368cbedfdd3bb70a7f3b0863 |
|
| Abstract | The growing awareness of climate change worldwide has led the urban tourism market to focus on balancing tourist tailored experiences and CO2 emissions. Therefore, designing personalized tourist routes with environmental pollution consideration is preferable in this context. This study proposes an evolution algorithm based on reinforcement learning (FSRL-HA) to design a personalized day tour route that simultaneously considers the utility of tourists and the carbon emission. We conducted a case study in Chengdu, Sichuan, China, to evaluate this algorithm's performance. The results indicate that the proposed algorithm outperforms selected baseline methods. Furthermore, the approach can provide more diverse route choices for different tourists, and an experiment was conducted to explore how tourist preferences affect tourist utilities. © 2022 Shandong Normal University |
Results:
| Category |
Certainity |
| Heritage | 0.0000 |
| Archives | 0.0000 |
| Libraries | 0.0000 |
| Book and Press | 0.0000 |
| Visual Arts | 0.9995 |
| Performing Arts | 0.0000 |
| Audiovisual and Multimedia | 0.0000 |
| Architecture | 0.0004 |
| Adverstizing | 0.0000 |
| Art crafts | 0.0000 |
| General cultural dimension | 0.0000 |
MESOC has received funding
from Horizon 2020 - the EU Framework Programme
for Research and Innovation (2014-2020) -
under Grant Agreement n°870935.
We take your privacy seriously and WE DO NOT process any personal data or any information that reveals personal identity or information that can be linked to such information to identify directly or indirectly.
2021 © CD