Cities I've Visited Since 2012 (continuously updated)
I’ll update and preview the cities I have (or will) visited right here!
(July 22, 2022) Due to the pandemic, I haven’t moved for 4 months, missed a May Day wedding, and missed registering our marriage on 5/20; we haven’t seen each other for 4 months either.
Everywhere requires a 14-day travel history code now; I can produce my last 10 years of trips! Following the same logic as the travel code, brief pass-throughs aren’t counted, but transfers (flights/trains) usually are. Since December 13, 2022, the travel code was retired.
From 2012 to July 2022, I’ve been to 42 cities in total, with 259 trips (going from city A to city B counts as one; going back to A counts as two). In 2019 alone, I traveled 63 times. I was quite shocked when I saw these stats. Although I did travel a lot for work over the past three years and even visited 12 cities in Japan in 2019, I still didn’t expect the number to be this high. Why so many business trips? The main team of my first project was in Hangzhou, so from June 2019 to May 2020 I spent most of my time there. In my current project I lead three teams, in Hangzhou, Shanghai, and Israel—just not in Beijing; and as an architect I also often have to join workshops. I guess God decided I’m better suited to long-distance.
During my joint PhD training between USTC and Microsoft Research Asia (2013 senior-year internship ~ 2019 PhD graduation), I often commuted between Hefei and Beijing—already quite a lot for a student. I didn’t expect to travel even more for work afterward; on Umetrip in 2021 I exceeded 97% of users. The 3% who traveled more than me are basically frequent fliers. What I regret is that during my PhD I was too frugal to buy tickets as often, so I spent a lot of time apart from my girlfriend. Another regret is that I was often too lazy to write trip summaries; my memory isn’t great, so after a while I can only rely on photos and chat logs to recall things.
As of November 2023, I’ve been to 71 cities with 380 trips—29 more cities than a year ago—mainly from our honeymoon in Xinjiang after the wedding and my three-month trip to the United States. “City” is actually hard to define. In the US, using counties might be more reasonable; if I recorded every cross-county movement, the US portion would add many more “trips” (and within the Bay Area or Los Angeles–Irvine hardly counts as travel), and I probably wouldn’t be able to remember them all.
Statistics chart from May 2022, not updated
Of course, I don’t have permission to get base-station connection data from carriers. The trip data is collected from booking records, business trip records, etc. Since some tickets weren’t booked by me, some trips may have been missed. For example, the time I left MSRA in June 2014 to return to Hefei for my undergraduate graduation can no longer be verified. According to the internship certificate (July 9, 2013 to May 30, 2014), the Beijing-to-Hefei dates have been confirmed.
If you spot any mistakes, feel free to contact me to correct them.
My Footprints
2025
| Start date | End date | City |
|---|---|---|
| 2025-09-06 | 2025-09-06 | Beijing |
| 2025-09-05 | 2025-09-06 | Shanghai |
| 2025-09-04 | 2025-09-04 | Shenzhen |
| 2025-09-01 | 2025-09-04 | Shanghai |
| 2025-08-27 | 2025-09-01 | Beijing |
| 2025-08-25 | 2025-08-27 | Sanya |
| 2025-08-23 | 2025-08-25 | Lingshui |
| 2025-08-22 | 2025-08-23 | Haikou |
| 2025-08-22 | 2025-08-22 | Wenchang |
| 2025-08-22 | 2025-08-22 | Haikou |
| 2025-08-09 | 2025-08-22 | Beijing |
| 2025-08-05 | 2025-08-09 | Shanghai |
| 2025-07-19 | 2025-08-05 | Beijing |
| 2025-07-14 | 2025-07-19 | Shanghai |
| 2025-06-20 | 2025-07-14 | Beijing |
| 2025-06-15 | 2025-06-20 | Shanghai |
| 2025-06-02 | 2025-06-15 | Beijing |
| 2025-06-01 | 2025-06-02 | Yanqing |
| 2025-05-24 | 2025-06-01 | Beijing |
| 2025-05-19 | 2025-05-24 | Shanghai |
| 2025-05-05 | 2025-05-19 | Beijing |
| 2025-05-02 | 2025-05-05 | Taiyuan |
| 2025-05-02 | 2025-05-02 | Lan County |
| 2025-05-01 | 2025-05-02 | Taiyuan |
| 2025-04-19 | 2025-04-30 | Beijing |
| 2025-04-14 | 2025-04-19 | Shanghai |
| 2025-03-22 | 2025-04-14 | Beijing |
| 2025-03-17 | 2025-03-22 | Shanghai |
| 2025-03-02 | 2025-03-17 | Beijing |
| 2025-03-01 | 2025-03-02 | Beidaihe |
| 2025-03-01 | 2025-03-01 | Shanhaiguan |
| 2025-02-22 | 2025-03-01 | Beijing |
| 2025-02-17 | 2025-02-22 | Shanghai |
| 2025-02-10 | 2025-02-17 | Beijing |
| 2025-02-08 | 2025-02-10 | Huzhou |
| 2025-01-15 | 2025-02-08 | Beijing |
| 2025-01-12 | 2025-01-15 | Shijiazhuang |
| 2025-01-01 | 2025-01-12 | Beijing |
2024
| Start date | End date | City |
|---|---|---|
| 2024-10-08 | 2024-12-31 | Beijing |
| 2024-10-06 | 2024-10-08 | Hangzhou |
| 2024-10-06 | 2024-10-06 | Taiyuan |
| 2024-10-04 | 2024-10-06 | Lan County |
| 2024-10-03 | 2024-10-04 | Taiyuan |
| 2024-09-30 | 2024-10-03 | Shijiazhuang |
| 2024-09-25 | 2024-09-30 | Beijing |
| 2024-04-24 | 2024-09-25 | Hefei |
| 2024-09-22 | 2024-09-24 | Beijing |
| 2024-09-19 | 2024-09-22 | Hangzhou |
| 2024-09-15 | 2024-09-19 | Xi’an |
| 2024-08-18 | 2024-09-14 | Beijing |
| 2024-08-18 | 2024-08-18 | Changsha |
| 2024-08-17 | 2024-08-18 | Kuala Lumpur |
| 2024-08-14 | 2024-08-17 | Singapore |
| 2024-08-13 | 2024-08-14 | Malacca |
| 2024-08-10 | 2024-08-12 | Kuala Lumpur |
| 2024-08-10 | 2024-08-10 | Shenzhen |
| 2024-07-21 | 2024-08-10 | Beijing |
| 2024-07-20 | 2024-07-21 | Lan County |
| 2024-07-19 | 2024-07-20 | Taiyuan |
| 2024-07-07 | 2024-07-19 | Beijing |
| 2024-07-05 | 2024-07-07 | Hefei |
| 2024-06-10 | 2024-07-05 | Beijing |
| 2024-06-09 | 2024-06-10 | Taiyuan |
| 2024-06-08 | 2024-06-09 | Lan County |
| 2024-06-07 | 2024-06-08 | Taiyuan |
| 2024-06-01 | 2024-06-07 | Beijing |
| 2024-06-01 | 2024-06-01 | Miyun |
| 2024-06-01 | 2024-06-01 | Huairou |
| 2024-05-06 | 2024-06-01 | Beijing |
| 2024-05-04 | 2024-05-06 | Taiyuan |
| 2024-05-03 | 2024-05-04 | Gujiao |
| 2024-05-03 | 2024-05-03 | Taiyuan |
| 2024-05-02 | 2024-05-03 | Datong |
| 2024-05-02 | 2024-05-02 | Ying County |
| 2024-05-01 | 2024-05-02 | Datong |
| 2024-04-21 | 2024-05-01 | Beijing |
| 2024-04-16 | 2024-04-21 | Dubai |
| 2024-04-06 | 2024-04-16 | Beijing |
| 2024-04-04 | 2024-04-06 | Wuhan |
| 2024-03-29 | 2024-04-04 | Beijing |
| 2024-03-28 | 2024-03-28 | San Francisco |
| 2024-03-17 | 2024-03-28 | Los Angeles |
| 2024-02-22 | 2024-03-17 | Beijing |
| 2024-02-22 | 2024-02-22 | Hong Kong |
| 2024-02-19 | 2024-02-22 | Singapore |
| 2024-02-19 | 2024-02-19 | Xiamen |
| 2024-02-18 | 2024-02-19 | Beijing |
| 2024-02-16 | 2024-02-18 | Taiyuan |
| 2024-02-15 | 2024-02-16 | Lan County |
| 2024-02-13 | 2024-02-15 | Taiyuan |
| 2024-02-13 | 2024-02-13 | Gujiao |
| 2024-02-12 | 2024-02-13 | Taiyuan |
| 2024-02-08 | 2024-02-12 | Shijiazhuang |
| 2024-01-01 | 2024-02-08 | Beijing |
2023
| Start Date | End Date | City |
|---|---|---|
| 2023-11-21 | 2023-12-31 | Beijing |
| 2023-11-21 | 2023-11-21 | Hong Kong |
| 2023-11-18 | 2023-11-19 | Los Angeles |
| 2023-11-14 | 2023-11-18 | San Mateo |
| 2023-11-14 | 2023-11-14 | Stanford |
| 2023-11-14 | 2023-11-14 | San Francisco |
| 2023-11-13 | 2023-11-14 | San Mateo |
| 2023-11-13 | 2023-11-13 | Berkeley |
| 2023-11-12 | 2023-11-13 | San Mateo |
| 2023-11-12 | 2023-11-12 | Stanford |
| 2023-11-11 | 2023-11-12 | Los Angeles |
| 2023-11-11 | 2023-11-11 | Joshua Tree |
| 2023-11-06 | 2023-11-11 | Los Angeles |
| 2023-11-06 | 2023-11-06 | Irvine |
| 2023-10-05 | 2023-11-06 | Los Angeles |
| 2023-11-05 | 2023-11-05 | Irvine |
| 2023-10-22 | 2023-11-05 | Los Angeles |
| 2023-10-22 | 2023-10-22 | Irvine |
| 2023-10-13 | 2023-10-22 | Los Angeles |
| 2023-10-13 | 2023-10-13 | San Diego |
| 2023-10-12 | 2023-10-13 | Los Angeles |
| 2023-10-11 | 2023-10-12 | San Diego |
| 2023-10-01 | 2023-10-11 | Los Angeles |
| 2023-10-01 | 2023-10-01 | Irvine |
| 2023-09-29 | 2023-10-01 | Los Angeles |
| 2023-09-28 | 2023-09-29 | San Mateo |
| 2023-09-28 | 2023-09-28 | Stanford |
| 2023-09-27 | 2023-09-28 | San Mateo |
| 2023-09-27 | 2023-09-27 | Mountain View |
| 2023-09-26 | 2023-09-27 | San Mateo |
| 2023-09-25 | 2023-09-26 | Los Angeles |
| 2023-09-25 | 2023-09-25 | Newport Beach |
| 2023-08-25 | 2023-09-25 | Los Angeles |
| 2023-08-25 | 2023-08-25 | Hong Kong |
| 2023-08-24 | 2023-08-25 | Xiamen |
| 2023-07-14 | 2023-08-24 | Beijing |
| 2023-07-10 | 2023-07-14 | Shenzhen |
| 2023-07-02 | 2023-07-10 | Beijing |
| 2023-06-28 | 2023-07-02 | Hong Kong |
| 2023-06-18 | 2023-06-28 | Beijing |
| 2023-06-15 | 2023-06-18 | Hangzhou |
| 2023-05-28 | 2023-06-15 | Beijing |
| 2023-05-27 | 2023-05-28 | Xi’an |
| 2023-05-25 | 2023-05-27 | Hangzhou |
| 2023-05-25 | 2023-05-25 | Dongguan |
| 2023-05-23 | 2023-05-25 | Shenzhen |
| 2023-05-21 | 2023-05-23 | Shanghai |
| 2023-05-21 | 2023-05-21 | Hangzhou |
| 2023-05-20 | 2023-05-21 | Shijiazhuang |
| 2023-05-14 | 2023-05-20 | Beijing |
| 2023-05-13 | 2023-05-14 | Urumqi |
| 2023-05-13 | 2023-05-13 | Jinghe |
| 2023-05-12 | 2023-05-12 | Kuerdening |
| 2023-05-11 | 2023-05-12 | Nalati |
| 2023-05-10 | 2023-05-11 | Yining |
| 2023-05-10 | 2023-05-10 | Sayram Lake |
| 2023-05-09 | 2023-05-10 | Karamay |
| 2023-05-09 | 2023-05-09 | Ghost City |
| 2023-05-08 | 2023-05-09 | Hemu |
| 2023-05-07 | 2023-05-08 | Kanas |
| 2023-05-06 | 2023-05-07 | Burqin |
| 2023-05-06 | 2023-05-06 | Five-Colored Beach |
| 2023-05-06 | 2023-05-06 | Ulungur Lake |
| 2023-05-05 | 2023-05-06 | Urumqi |
| 2023-05-05 | 2023-05-05 | Heavenly Lake of Tianshan |
| 2023-05-04 | 2023-05-05 | Urumqi |
| 2023-05-03 | 2023-05-04 | Taiyuan |
| 2023-05-02 | 2023-05-03 | Gujiao |
| 2023-04-29 | 2023-05-02 | Shijiazhuang |
| 2023-04-16 | 2023-04-29 | Beijing |
| 2023-04-14 | 2023-04-16 | Shijiazhuang |
| 2023-04-12 | 2023-04-14 | Hangzhou |
| 2023-04-09 | 2023-04-12 | Beijing |
| 2023-04-07 | 2023-04-09 | Changsha |
| 2023-03-01 | 2023-04-07 | Beijing |
| 2023-02-27 | 2023-03-01 | Nanjing |
| 2023-02-19 | 2023-02-27 | Shenzhen |
| 2023-02-11 | 2023-02-19 | Beijing |
| 2023-02-08 | 2023-02-11 | Shenzhen |
| 2023-02-03 | 2023-02-08 | Beijing |
| 2023-01-28 | 2023-02-03 | Hangzhou |
| 2023-01-27 | 2023-01-28 | Beijing |
| 2023-01-23 | 2023-01-27 | Shijiazhuang |
| 2023-01-22 | 2023-01-23 | Taiyuan |
| 2023-01-21 | 2023-01-22 | Gujiao |
| 2023-01-20 | 2023-01-21 | Taiyuan |
| 2023-01-02 | 2023-01-20 | Beijing |
| 2023-01-01 | 2023-01-02 | Tianjin |
2022
| Start Date | End Date | City |
|---|---|---|
| 2022-12-31 | 2022-12-31 | Tianjin |
| 2022-11-19 | 2022-12-31 | Beijing |
| 2022-11-16 | 2022-11-19 | Shanghai |
| 2022-11-12 | 2022-11-16 | Hangzhou |
| 2022-11-10 | 2022-11-12 | Beijing |
| 2022-11-08 | 2022-11-10 | Chengdu |
| 2022-10-29 | 2022-11-08 | Beijing |
| 2022-10-23 | 2022-10-29 | Hangzhou |
| 2022-10-22 | 2022-10-23 | Zhoushan |
| 2022-10-21 | 2022-10-22 | Hangzhou |
| 2022-10-19 | 2022-10-21 | Shenzhen |
| 2022-10-01 | 2022-10-19 | Beijing |
| 2022-09-24 | 2022-10-01 | Hangzhou |
| 2022-08-12 | 2022-09-24 | Beijing |
| 2022-08-10 | 2022-08-12 | Hangzhou |
| 2022-08-03 | 2022-08-10 | Beijing |
| 2022-07-29 | 2022-08-03 | Hangzhou |
| 2022-07-16 | 2022-07-29 | Beijing |
| 2022-07-13 | 2022-07-16 | Chengdu |
| 2022-03-06 | 2022-07-13 | Beijing |
| 2022-03-04 | 2022-03-06 | Hefei |
| 2022-02-27 | 2022-03-04 | Hangzhou |
| 2022-02-27 | 2022-02-27 | Deqing |
| 2022-02-22 | 2022-02-27 | Hangzhou |
| 2022-02-12 | 2022-02-22 | Beijing |
| 2022-01-27 | 2022-02-12 | Shijiazhuang |
| 2022-01-21 | 2022-01-27 | Hangzhou |
| 2022-01-16 | 2022-01-21 | Shanghai |
| 2022-01-10 | 2022-01-16 | Hangzhou |
| 2022-01-03 | 2022-01-10 | Beijing |
| 2022-01-01 | 2022-01-03 | Suzhou |
| 2022-01-01 | 2022-01-01 | Beijing |
2021
| Start Date | End Date | City |
|---|---|---|
| 2021-12-05 | 2021-12-31 | Beijing |
| 2021-12-03 | 2021-12-05 | Hefei |
| 2021-11-22 | 2021-12-03 | Shenzhen |
| 2021-10-24 | 2021-11-22 | Beijing |
| 2021-10-22 | 2021-10-24 | Shenzhen |
| 2021-10-17 | 2021-10-22 | Hangzhou |
| 2021-10-14 | 2021-10-17 | Shenzhen |
| 2021-10-08 | 2021-10-14 | Beijing |
| 2021-10-07 | 2021-10-08 | Kunming |
| 2021-10-05 | 2021-10-07 | Lijiang |
| 2021-10-04 | 2021-10-05 | Shangri-La |
| 2021-10-03 | 2021-10-04 | Lijiang |
| 2021-10-03 | 2021-10-03 | Lugu Lake |
| 2021-10-02 | 2021-10-03 | Lijiang |
| 2021-10-02 | 2021-10-02 | Luzhou |
| 2021-10-02 | 2021-10-02 | Nanchang |
| 2021-10-01 | 2021-10-02 | Taiyuan |
| 2021-09-30 | 2021-10-01 | Gujiao |
| 2021-09-12 | 2021-09-30 | Beijing |
| 2021-09-02 | 2021-09-12 | Hangzhou |
| 2021-08-01 | 2021-09-02 | Beijing |
| 2021-07-30 | 2021-08-01 | Hefei |
| 2021-07-25 | 2021-07-30 | Hangzhou |
| 2021-07-23 | 2021-07-25 | Hefei |
| 2021-07-20 | 2021-07-23 | Hangzhou |
| 2021-07-14 | 2021-07-20 | Beijing |
| 2021-07-04 | 2021-07-14 | Chengdu |
| 2021-06-04 | 2021-07-04 | Beijing |
| 2021-05-29 | 2021-06-04 | Xi’an |
| 2021-05-13 | 2021-05-29 | Beijing |
| 2021-05-12 | 2021-05-13 | Shijiazhuang |
| 2021-05-05 | 2021-05-12 | Beijing |
| 2021-04-30 | 2021-05-05 | Shijiazhuang |
| 2021-04-08 | 2021-04-30 | Beijing |
| 2021-04-05 | 2021-04-08 | Shanghai |
| 2021-04-02 | 2021-04-05 | Suzhou |
| 2021-03-31 | 2021-04-02 | Xi’an |
| 2021-03-05 | 2021-03-31 | Beijing |
| 2021-03-02 | 2021-03-05 | Chengdu |
| 2021-02-15 | 2021-03-02 | Beijing |
| 2021-02-14 | 2021-02-15 | Gujiao |
| 2021-01-10 | 2021-02-13 | Beijing |
| 2021-01-08 | 2021-01-10 | Shenzhen |
| 2021-01-03 | 2021-01-08 | Beijing |
| 2021-01-01 | 2021-01-03 | Tianjin |
| 2021-01-01 | 2021-01-01 | Beijing |
2020
| Start Date | End Date | City |
|---|---|---|
| 2020-11-29 | 2020-12-31 | Beijing |
| 2020-11-28 | 2020-11-29 | Shenzhen |
| 2020-11-08 | 2020-11-28 | Beijing |
| 2020-11-06 | 2020-11-08 | Dongguan |
| 2020-11-04 | 2020-11-06 | Shanghai |
| 2020-10-25 | 2020-11-04 | Chengdu |
| 2020-10-18 | 2020-10-25 | Beijing |
| 2020-10-17 | 2020-10-18 | Xi’an |
| 2020-10-08 | 2020-10-17 | Beijing |
| 2020-10-07 | 2020-10-08 | Hefei |
| 2020-10-05 | 2020-10-07 | Chizhou |
| 2020-10-01 | 2020-10-05 | Hefei |
| 2020-08-28 | 2020-10-01 | Beijing |
| 2020-08-19 | 2020-08-28 | Chengdu |
| 2020-08-16 | 2020-08-19 | Beijing |
| 2020-08-14 | 2020-08-16 | Shenzhen |
| 2020-08-09 | 2020-08-14 | Beijing |
| 2020-08-01 | 2020-08-09 | Shanghai |
| 2020-05-17 | 2020-08-01 | Beijing |
| 2020-05-03 | 2020-05-17 | Hangzhou |
| 2020-05-02 | 2020-05-03 | Beijing |
| 2020-03-29 | 2020-05-02 | Hangzhou |
| 2020-03-29 | 2020-03-29 | Beijing |
| 2020-03-25 | 2020-03-29 | Shijiazhuang |
| 2020-02-01 | 2020-03-25 | Beijing |
| 2020-01-23 | 2020-02-01 | Shijiazhuang |
| 2020-01-18 | 2020-01-23 | Beijing |
| 2020-01-13 | 2020-01-18 | Hangzhou |
| 2020-01-01 | 2020-01-13 | Beijing |
| 2020-01-01 | 2020-01-01 | Hefei |
2019
| Start Date | End Date | City |
|---|---|---|
| 2019-12-31 | 2019-12-31 | Hefei |
| 2019-12-21 | 2019-12-31 | Hangzhou |
| 2019-12-20 | 2019-12-21 | Zhuhai |
| 2019-12-08 | 2019-12-20 | Hangzhou |
| 2019-12-04 | 2019-12-08 | Beijing |
| 2019-12-04 | 2019-12-04 | Tianjin |
| 2019-12-01 | 2019-12-04 | Beijing |
| 2019-11-03 | 2019-12-01 | Hangzhou |
| 2019-10-30 | 2019-11-03 | Beijing |
| 2019-10-21 | 2019-10-30 | Hangzhou |
| 2019-10-19 | 2019-10-21 | Beijing |
| 2019-10-06 | 2019-10-19 | Hangzhou |
| 2019-10-05 | 2019-10-06 | Beijing |
| 2019-10-01 | 2019-10-05 | Shijiazhuang |
| 2019-09-20 | 2019-10-01 | Hangzhou |
| 2019-09-20 | 2019-09-20 | Shanghai |
| 2019-09-16 | 2019-09-20 | Hangzhou |
| 2019-09-16 | 2019-09-16 | Beijing |
| 2019-09-13 | 2019-09-16 | Shijiazhuang |
| 2019-09-13 | 2019-09-13 | Beijing |
| 2019-09-08 | 2019-09-13 | Hangzhou |
| 2019-09-04 | 2019-09-08 | Beijing |
| 2019-09-01 | 2019-09-04 | Hangzhou |
| 2019-07-31 | 2019-09-01 | Beijing |
| 2019-07-22 | 2019-07-31 | Hangzhou |
| 2019-07-14 | 2019-07-22 | Beijing |
| 2019-07-12 | 2019-07-14 | Hefei |
| 2019-07-11 | 2019-07-12 | Hangzhou |
| 2019-07-09 | 2019-07-10 | Shenzhen |
| 2019-07-07 | 2019-07-08 | Beijing |
| 2019-06-25 | 2019-07-07 | Hangzhou |
| 2019-06-23 | 2019-06-25 | Beijing |
| 2019-06-21 | 2019-06-22 | Hefei |
| 2019-06-16 | 2019-06-20 | Beijing |
| 2019-06-15 | 2019-06-15 | Shenzhen |
| 2019-06-09 | 2019-06-15 | Dongguan |
| 2019-05-29 | 2019-06-09 | Beijing |
| 2019-05-25 | 2019-05-29 | Hefei |
| 2019-05-09 | 2019-05-24 | Beijing |
| 2019-05-07 | 2019-05-09 | Tokyo, Japan |
| 2019-05-06 | 2019-05-07 | Hakodate, Japan |
| 2019-05-05 | 2019-05-06 | Noboribetsu, Japan |
| 2019-05-05 | 2019-05-05 | Toya, Japan |
| 2019-05-04 | 2019-05-05 | Sapporo, Japan |
| 2019-05-04 | 2019-05-04 | Otaru, Japan |
| 2019-05-03 | 2019-05-04 | Sapporo, Japan |
| 2019-05-02 | 2019-05-03 | Osaka, Japan |
| 2019-05-01 | 2019-05-02 | Kyoto, Japan |
| 2019-04-30 | 2019-05-01 | Osaka, Japan |
| 2019-04-29 | 2019-04-30 | Nagano, Japan |
| 2019-04-28 | 2019-04-29 | Lake Kawaguchi, Japan |
| 2019-04-27 | 2019-04-28 | Hakone, Japan |
| 2019-04-25 | 2019-04-27 | Tokyo, Japan |
| 2019-04-17 | 2019-04-25 | Beijing |
| 2019-04-16 | 2019-04-17 | Hefei |
| 2019-04-14 | 2019-04-15 | Beijing |
| 2019-04-13 | 2019-04-14 | Shijiazhuang |
| 2019-02-21 | 2019-04-13 | Beijing |
| 2019-02-19 | 2019-02-21 | Hefei |
| 2019-02-11 | 2019-02-18 | Beijing |
| 2019-02-04 | 2019-02-11 | Shijiazhuang |
| 2019-01-30 | 2019-02-04 | Gujiao |
| 2019-01-01 | 2019-01-30 | Beijing |
| 2019-01-01 | 2019-01-01 | Hefei |
2018
| Start date | End date | City |
|---|---|---|
| 2018-12-29 | 2018-12-31 | Hefei |
| 2018-11-28 | 2018-12-28 | Beijing |
| 2018-11-25 | 2018-11-27 | Hefei |
| 2018-10-30 | 2018-11-25 | Beijing |
| 2018-10-27 | 2018-10-29 | Hefei |
| 2018-10-08 | 2018-10-26 | Beijing |
| 2018-10-06 | 2018-10-08 | Hefei |
| 2018-10-05 | 2018-10-06 | Wuxi |
| 2018-10-02 | 2018-10-05 | Suzhou |
| 2018-09-25 | 2018-10-02 | Beijing |
| 2018-09-21 | 2018-09-25 | Shijiazhuang |
| 2018-09-05 | 2018-09-21 | Beijing |
| 2018-09-02 | 2018-09-05 | Hangzhou |
| 2018-06-20 | 2018-09-02 | Beijing |
| 2018-06-15 | 2018-06-20 | Hefei |
| 2018-03-05 | 2018-06-15 | Beijing |
| 2018-03-03 | 2018-03-05 | Hefei |
| 2018-02-21 | 2018-03-02 | Beijing |
| 2018-02-14 | 2018-02-21 | Shijiazhuang |
| 2018-02-14 | 2018-02-14 | Taiyuan |
| 2018-02-11 | 2018-02-14 | Pingyao |
| 2018-02-11 | 2018-02-11 | Jiexiu |
| 2018-02-10 | 2018-02-11 | Taiyuan |
| 2018-01-11 | 2018-02-10 | Beijing |
| 2018-01-09 | 2018-01-10 | Hefei |
| 2018-01-01 | 2018-01-09 | Beijing |
2017
| Start date | End date | City |
|---|---|---|
| 2017-12-18 | 2017-12-31 | Beijing |
| 2017-12-17 | 2017-12-18 | Hefei |
| 2017-12-17 | 2017-12-17 | Beijing |
| 2017-12-10 | 2017-12-16 | USA Seattle/Redmond |
| 2017-11-03 | 2017-12-10 | Beijing |
| 2017-11-01 | 2017-11-03 | Hefei |
| 2017-10-28 | 2017-11-01 | Shanghai |
| 2017-10-20 | 2017-10-28 | Beijing |
| 2017-10-18 | 2017-10-20 | Harbin |
| 2017-10-05 | 2017-10-18 | Beijing |
| 2017-10-02 | 2017-10-05 | Shijiazhuang |
| 2017-08-06 | 2017-10-02 | Beijing |
| 2017-08-02 | 2017-08-06 | Hong Kong |
| 2017-07-22 | 2017-08-02 | Beijing |
| 2017-07-19 | 2017-07-22 | Nanjing |
| 2017-07-14 | 2017-07-19 | Beijing |
| 2017-07-13 | 2017-07-14 | Hefei |
| 2017-06-04 | 2017-07-13 | Beijing |
| 2017-06-04 | 2017-06-04 | Tianjin |
| 2017-06-01 | 2017-06-04 | Beijing |
| 2017-05-30 | 2017-06-01 | Hefei |
| 2017-05-02 | 2017-05-30 | Beijing |
| 2017-04-29 | 2017-05-02 | Shijiazhuang |
| 2017-02-05 | 2017-04-29 | Beijing |
| 2017-01-31 | 2017-02-05 | Harbin |
| 2017-01-26 | 2017-01-31 | Shijiazhuang |
| 2017-01-01 | 2017-01-26 | Beijing |
2016
| Start date | End date | City |
|---|---|---|
| 2016-10-06 | 2016-12-31 | Beijing |
| 2016-10-02 | 2016-10-06 | Shijiazhuang |
| 2016-09-25 | 2016-10-02 | Beijing |
| 2016-09-24 | 2016-09-25 | Shijiazhuang |
| 2016-09-06 | 2016-09-24 | Beijing |
| 2016-09-01 | 2016-09-06 | Hefei |
| 2016-08-29 | 2016-09-01 | Beijing |
| 2016-08-28 | 2016-08-28 | France Paris |
| 2016-08-21 | 2016-08-27 | Brazil Florianopolis |
| 2016-08-20 | 2016-08-20 | France Paris |
| 2016-07-16 | 2016-08-20 | Beijing |
| 2016-07-16 | 2016-07-16 | Hefei |
| 2016-05-17 | 2016-07-15 | Beijing |
| 2016-05-13 | 2016-05-16 | Hefei |
| 2016-05-03 | 2016-05-12 | Beijing |
| 2016-04-30 | 2016-05-03 | Shijiazhuang |
| 2016-02-16 | 2016-04-30 | Beijing |
| 2016-02-12 | 2016-02-15 | Hefei |
| 2016-02-06 | 2016-02-12 | Shijiazhuang |
| 2016-02-05 | 2016-02-06 | Beijing |
| 2016-01-31 | 2016-02-05 | Hefei |
| 2016-01-04 | 2016-01-31 | Beijing |
| 2016-01-01 | 2016-01-03 | Hefei |
2015
| Start date | End date | City |
|---|---|---|
| 2015-12-30 | 2015-12-31 | Hefei |
| 2015-11-02 | 2015-12-30 | Beijing |
| 2015-10-30 | 2015-11-01 | Hefei |
| 2015-10-05 | 2015-10-30 | Beijing |
| 2015-09-30 | 2015-10-05 | Shijiazhuang |
| 2015-09-27 | 2015-09-29 | Hefei |
| 2015-07-20 | 2015-09-27 | Beijing |
| 2015-07-14 | 2015-07-20 | Ningde |
| 2015-04-05 | 2015-07-14 | Hefei |
| 2015-04-03 | 2015-04-05 | Nanjing |
| 2015-02-07 | 2015-04-03 | Hefei |
| 2015-02-06 | 2015-02-06 | Beijing |
| 2015-01-31 | 2015-02-05 | Hefei |
| 2015-01-28 | 2015-01-31 | Huangshan |
| 2015-01-01 | 2015-01-28 | Hefei |
2014
| Start date | End date | City |
|---|---|---|
| 2014-09-19 | 2014-12-31 | Hefei |
| 2014-09-05 | 2014-09-19 | Beijing |
| 2014-09-02 | 2014-09-04 | Hefei |
| 2014-08-07 | 2014-09-01 | Beijing |
| 2014-07-26 | 2014-08-07 | Shijiazhuang |
| 2014-07-02 | 2014-07-26 | Beijing |
| 2014-06-16 | 2014-07-02 | Hefei |
| 2014-06-15 | 2014-06-16 | Suzhou |
| 2014-05-31 | 2014-06-15 | Hefei |
| 2014-05-04 | 2014-05-31 | Beijing |
| 2014-04-30 | 2014-05-04 | Shijiazhuang |
| 2014-02-10 | 2014-04-30 | Beijing |
| 2014-01-30 | 2014-02-10 | Shijiazhuang |
| 2014-01-01 | 2014-01-30 | Beijing |
2013
| Start date | End date | City |
|---|---|---|
| 2013-11-12 | 2013-12-31 | Beijing |
| 2013-11-09 | 2013-11-11 | Hefei |
| 2013-10-10 | 2013-11-08 | Beijing |
| 2013-10-08 | 2013-10-10 | Hefei |
| 2013-10-02 | 2013-10-07 | Shijiazhuang |
| 2013-09-22 | 2013-10-02 | Beijing |
| 2013-09-01 | 2013-09-22 | Hefei |
| 2013-07-08 | 2013-09-01 | Beijing |
| 2013-07-06 | 2013-07-08 | Shijiazhuang |
| 2013-02-25 | 2013-07-05 | Hefei |
| 2013-01-01 | 2013-02-24 | Shijiazhuang |
2012
| Start Date | End Date | City |
|---|---|---|
| 2012-02-11 | 2012-12-31 | Hefei |
| 2012-01-25 | 2012-02-11 | Beijing |
| 2012-01-15 | 2012-01-25 | Shijiazhuang |
| 2012-01-01 | 2012-01-14 | Hefei |
Statistics
Which cities did I stay in the longest?
Note: If entering on January 1 and leaving on January 2, it is counted as 2 days, so there is overlap; therefore the total number of days exceeds the number of calendar days.
If cities other than Beijing, Hefei, and Shijiazhuang are considered travel (including business trips), then travel accounts for 12.3% of the total days, for a total of 490 days.
| City | Cumulative Days | Percentage |
|---|---|---|
| Beijing | 3314 | 59.2% |
| Hefei | 1089 | 19.5% |
| Hangzhou | 298 | 5.3% |
| Shijiazhuang | 242 | 4.3% |
| Los Angeles | 130 | 2.3% |
| Shanghai | 82 | 1.5% |
| Shenzhen | 56 | 1.0% |
| Chengdu | 43 | 0.8% |
| Taiyuan | 38 | 0.7% |
| Xi’an | 19 | 0.3% |
| Gujiao | 17 | 0.3% |
| San Mateo | 15 | 0.3% |
| Hong Kong | 13 | 0.2% |
| Suzhou | 13 | 0.2% |
| Dongguan | 11 | 0.2% |
| Lan County | 10 | 0.2% |
| Nanjing | 10 | 0.2% |
| Harbin | 9 | 0.2% |
| Singapore | 8 | 0.1% |
| Tianjin | 8 | 0.1% |
| Lijiang | 7 | 0.1% |
| Seattle/Redmond, USA | 7 | 0.1% |
| Florianopolis, Brazil | 7 | 0.1% |
| Ningde | 7 | 0.1% |
| Dubai | 6 | 0.1% |
| Urumqi | 6 | 0.1% |
| Tokyo, Japan | 6 | 0.1% |
| Kuala Lumpur | 5 | 0.1% |
| Changsha | 4 | 0.1% |
| Datong | 4 | 0.1% |
| Irvine | 4 | 0.1% |
| Sapporo, Japan | 4 | 0.1% |
| Osaka, Japan | 4 | 0.1% |
| Pingyao | 4 | 0.1% |
| Huangshan | 4 | 0.1% |
| Sanya | 3 | 0.1% |
| Lingshui | 3 | 0.1% |
| Haikou | 3 | 0.1% |
| Huzhou | 3 | 0.1% |
| Wuhan | 3 | 0.1% |
| Xiamen | 3 | 0.1% |
| Stanford | 3 | 0.1% |
| San Diego | 3 | 0.1% |
| Chizhou | 3 | 0.1% |
| Yanqing | 2 | 0.0% |
| Beidaihe | 2 | 0.0% |
| Malacca | 2 | 0.0% |
| Nalati | 2 | 0.0% |
| Yining | 2 | 0.0% |
| Karamay | 2 | 0.0% |
| Hemu | 2 | 0.0% |
| Kanas | 2 | 0.0% |
| Burqin | 2 | 0.0% |
| Zhoushan | 2 | 0.0% |
| Kunming | 2 | 0.0% |
| Shangri-La | 2 | 0.0% |
| Zhuhai | 2 | 0.0% |
| Hakodate, Japan | 2 | 0.0% |
| Noboribetsu, Japan | 2 | 0.0% |
| Kyoto, Japan | 2 | 0.0% |
| Nagano, Japan | 2 | 0.0% |
| Lake Kawaguchi, Japan | 2 | 0.0% |
| Hakone, Japan | 2 | 0.0% |
| Wuxi | 2 | 0.0% |
| Paris, France | 2 | 0.0% |
| Wenchang | 1 | 0.0% |
| Shanhaiguan | 1 | 0.0% |
| Miyun | 1 | 0.0% |
| Huairou | 1 | 0.0% |
| Ying County | 1 | 0.0% |
| San Francisco | 1 | 0.0% |
| San Francisco | 1 | 0.0% |
| Berkeley | 1 | 0.0% |
| Joshua Tree | 1 | 0.0% |
| Mountain View | 1 | 0.0% |
| Newport Beach | 1 | 0.0% |
| Jinghe | 1 | 0.0% |
| Kuerdening | 1 | 0.0% |
| Sayram Lake | 1 | 0.0% |
| Ghost City | 1 | 0.0% |
| Five-Color Beach | 1 | 0.0% |
| Ulungur Lake | 1 | 0.0% |
| Tianshan Tianchi (Heavenly Lake) | 1 | 0.0% |
| Deqing | 1 | 0.0% |
| Lugu Lake | 1 | 0.0% |
| Luzhou | 1 | 0.0% |
| Nanchang | 1 | 0.0% |
| Lake Toya, Japan | 1 | 0.0% |
| Otaru, Japan | 1 | 0.0% |
| Jiexiu | 1 | 0.0% |
Which cities did I visit most often?
Note: One entry and one exit count as one visit. For example, if you take a short trip to another city in the morning and return in the evening, the two separated segments will be counted as two visits.
| City | Visits | Percentage |
|---|---|---|
| Beijing | 150 | 31.6% |
| Hefei | 50 | 10.5% |
| Hangzhou | 37 | 7.8% |
| Shijiazhuang | 33 | 7.0% |
| Taiyuan | 18 | 3.8% |
| Shanghai | 17 | 3.6% |
| Shenzhen | 15 | 3.2% |
| Los Angeles | 12 | 2.5% |
| Gujiao | 7 | 1.5% |
| San Mateo | 6 | 1.3% |
| Chengdu | 6 | 1.3% |
| Lan County | 5 | 1.1% |
| Xi’an | 5 | 1.1% |
| Hong Kong | 5 | 1.1% |
| Tianjin | 5 | 1.1% |
| Irvine | 4 | 0.8% |
| Suzhou | 4 | 0.8% |
| Stanford | 3 | 0.6% |
| Dongguan | 3 | 0.6% |
| Urumqi | 3 | 0.6% |
| Nanjing | 3 | 0.6% |
| Lijiang | 3 | 0.6% |
| Haikou | 2 | 0.4% |
| Changsha | 2 | 0.4% |
| Kuala Lumpur | 2 | 0.4% |
| Singapore | 2 | 0.4% |
| Datong | 2 | 0.4% |
| Xiamen | 2 | 0.4% |
| San Diego | 2 | 0.4% |
| Tokyo, Japan | 2 | 0.4% |
| Sapporo, Japan | 2 | 0.4% |
| Osaka, Japan | 2 | 0.4% |
| Harbin | 2 | 0.4% |
| Paris, France | 2 | 0.4% |
| Sanya | 1 | 0.2% |
| Lingshui | 1 | 0.2% |
| Wenchang | 1 | 0.2% |
| Yanqing | 1 | 0.2% |
| Beidaihe | 1 | 0.2% |
| Shanhaiguan | 1 | 0.2% |
| Huzhou | 1 | 0.2% |
| Malacca | 1 | 0.2% |
| Miyun | 1 | 0.2% |
| Huairou | 1 | 0.2% |
| Ying County | 1 | 0.2% |
| Dubai | 1 | 0.2% |
| Wuhan | 1 | 0.2% |
| San Francisco | 1 | 0.2% |
| San Francisco | 1 | 0.2% |
| Berkeley | 1 | 0.2% |
| Joshua Tree | 1 | 0.2% |
| Mountain View | 1 | 0.2% |
| Newport Beach | 1 | 0.2% |
| Jinghe | 1 | 0.2% |
| Kuerdening | 1 | 0.2% |
| Nalati | 1 | 0.2% |
| Yining | 1 | 0.2% |
| Sayram Lake | 1 | 0.2% |
| Karamay | 1 | 0.2% |
| Ghost City | 1 | 0.2% |
| Hemu | 1 | 0.2% |
| Kanas | 1 | 0.2% |
| Burqin | 1 | 0.2% |
| Five-Color Beach | 1 | 0.2% |
| Ulungur Lake | 1 | 0.2% |
| Tianshan Tianchi (Heavenly Lake) | 1 | 0.2% |
| Zhoushan | 1 | 0.2% |
| Deqing | 1 | 0.2% |
| Kunming | 1 | 0.2% |
| Shangri-La | 1 | 0.2% |
| Lugu Lake | 1 | 0.2% |
| Luzhou | 1 | 0.2% |
| Nanchang | 1 | 0.2% |
| Chizhou | 1 | 0.2% |
| Zhuhai | 1 | 0.2% |
| Hakodate, Japan | 1 | 0.2% |
| Noboribetsu, Japan | 1 | 0.2% |
| Lake Toya, Japan | 1 | 0.2% |
| Otaru, Japan | 1 | 0.2% |
| Kyoto, Japan | 1 | 0.2% |
| Nagano, Japan | 1 | 0.2% |
| Lake Kawaguchi, Japan | 1 | 0.2% |
| Hakone, Japan | 1 | 0.2% |
| Wuxi | 1 | 0.2% |
| Pingyao | 1 | 0.2% |
| Jiexiu | 1 | 0.2% |
| Seattle/Redmond, USA | 1 | 0.2% |
| Florianopolis, Brazil | 1 | 0.2% |
| Ningde | 1 | 0.2% |
| Huangshan | 1 | 0.2% |
How many cities did I visit each year?
| Year | Trips |
|---|---|
| 2012 | 3 |
| 2013 | 10 |
| 2014 | 13 |
| 2015 | 14 |
| 2016 | 22 |
| 2017 | 26 |
| 2018 | 25 |
| 2019 | 63 |
| 2020 | 29 |
| 2021 | 45 |
| 2022 | 31 |
| 2023 | 87 |
| 2024 | 55 |
| 2025 | 37 |
How long did I stay on each trip?
The longest stay was 325 days; from February to the end of 2012 I didn’t budge from USTC. Over the past 10 years, there were only 6 instances of staying put for more than 3 months. The most recent was a 130-day stay in Beijing (March 6 to July 13, 2022), second only to the 325 days of not moving in 2012 and the 131 days from February 25 to July 5, 2013. No wonder I felt suffocated (the average stay lengths in 2019~2021 were 6.0, 12.6, and 8.5 days, far below 130 days).
How many cities did I visit each time I left Beijing?
| Number of cities | Count |
|---|---|
| 1 | 90 |
| 2 | 19 |
| 3 | 12 |
| 4 | 9 |
| 5 | 4 |
| 6 | 3 |
| 7 | 1 |
| 10 | 1 |
| 14 | 1 |
| 19 | 1 |
| 34 | 1 |
You can see that most trips were to a single city and then back, but there were also times I only returned after making a big loop.
How long was each time I left Beijing?
Afterword
My mom’s comment after reading this post:
Life is like a journey, traversing countless mountains and rivers and weathering storms. In every stretch of scenery there are beautiful memories; in every bout of wind and rain there is a positive response. What is most worth cherishing is meeting a like-minded partner on the road, to enjoy the scenery along the way together; you will surely also share weal and woe, stand together through wind and rain, walk through thousands of mountains and rivers, tread through wild fields and forests, reach the peak of happiness, watch the clouds roll and unroll and the sun rise and set together, and share the splendor of life.