What are the top rated Sustainable Travel in Xiaozhoushan?

There are a lot of options in Xiaozhoushan. If you plan on staying in the Xiaozhoushan area, consider making a reservation for a few nights at one of these properties as these have been rated the top Sustainable Travel in Xiaozhoushan: <a href="/property/lishui-manshanju-forest-retreat/BC-14903584" class="class="static-page-link"">Lishui Manshanju Forest Retreat</a> <a href="/property/holiday-inn-express-zhejiang-qianxia-lake-by-ihg/EP-18410185" class="class="static-page-link"">Holiday Inn Express - Zhejiang Qianxia Lake by IHG</a> <a href="/property/river-side-apartment/EP-30938907" class="class="static-page-link"">River Side Apartment</a>

One Degree is a sister company to Pulitravel and part of the UpNext Group family, listing millions of places to stay around the world. With the help of UpNext Group, we are able to provide eco-friendly property owners with a platform to promote their vacation rentals, gain more visibility to potential guests and encourage travelers to book eco-friendly. One Degree is attempting to change travel behavior. Through their eco-certification program, booking site, and marketplace for vacation rental owners and guests, OneDegree is building a community of eco-conscious travelers. Learn more at <a href="https://www.onedegreeleft.com" class="class=&#34;static-page-link&#34;">www.OneDegreeLeft.com</a>

What is a OneDegree Sustainable Impact Score (SIS)?

Properties with a Sustainable Impact Score provide a more positive environmental impact when you’re traveling, allowing you to feel good about your next vacation. The One Degree Eco Score is determined by a combination of three factors: Our Eco Score self assessment which is comprised of over 115 answers Location based data collected from your property listing including a property’s walk, transit, and bike score Traveler reviews to ensure there is accuracy in submissions For properties that have not yet completed a survey or have received feedback from the community, One Degree has created an algorithm that attempts to score properties from “most” to “least” eco-friendly.