SuperStar Virgo to spend more nights in Japan - TTG Asia - Leader in Hotel, Airlines, Tourism and Travel Trade News
Wednesday . July 26 . 2017
Follow TTG Asia on Twitter
TTG ASIA this week
TTG Asia ASEAN 50th Anniversary Special Supplement
TTG Asia Luxury
Share |
SuperStar Virgo to spend more nights in Japan
Shanghai, February 23, 2017

Star Cruises will increase the length of SuperStar Virgo's Shanghai homeport cruises to 8D/7N voyages when the new cruise season begins.


From July 6 until November 30, the 8D/7N Golden Sea Route will depart Shanghai every Thursday aboard SuperStar Virgo, visiting ports of calls including Tokyo, Mount Fuji, Osaka (with land tour options to include Kyoto) and Kagoshima.


Superstar Virgo


In addition, Star Cruise guests can also opt for a 4D/3N Sea-Land-Air holiday that departs from Shanghai. Upon disembarkation in Tokyo, guests can enjoy the city at their leisure and return to Shanghai by air. Alternatively, guests can also fly to Tokyo for a 5D/4N cruise to Mount Fuji and Kagoshima, with disembarkation in Shanghai.


“The average cruise length from China tends to be short, at four to five nights, with calls to secondary port cities. The cruise ship itself is the primary attraction,” said Ang Moo Lim, president of Star Cruises.


“Star Cruises' new 8D/7N cruises will provide a step-change forward in the Chinese cruise experience with calls to four famous ports and bringing the cruise length to international standards where more than 50 per cent of cruises are of seven-night duration. The extension of our itinerary to 8D/7N will bolster its appeal to the overseas market, which we believe will attract more International cruise travellers to Shanghai.”


Prices for the 8D/7N cruise start from US$4,999 per person based on twin occupancy.


Source: Star Cruises

Print Top Stories
Editor's pick >
The business of protection

by TTG Asia reporters

Rise of the Chinese explorer

by Adelaine Ng

The dark side of dark tourism

by Marissa Carruthers

Big ships making big waves

by Paige Lee Pei Qi

Big data with a personal touch

by Xinyi Liang-Pholsena