New towers beside the science park, popular with young families
The closest neighborhoods in the same city.
Coming down from the elevated platform at Xinzhuang Station, the road right in front of the station is Guanxin Road. This area is a newly rezoned district — the Guangpu and Guanchang rezoning zones together cover 59 hectares — with wider roads than the older parts of town, and mostly new high-rises lining both sides.
The sidewalks here rank #1 among Hsinchu's 9 districts — great for pushing a stroller — and everyday errands are easy too, with daily convenience ranking #2. Kids can go all the way from elementary through junior high without leaving the area — Guanpu Elementary School, Guandong Elementary School, and Guangwu Junior High School are all right here, and Guanxin Park is nearby too. From Xinzhuang Station you can take the local train to Zhuzhong and Liujia, and Liujia Station is right next to THSR Hsinchu Station.
Greenery ranks #6, which puts it in the lower-middle range for Hsinchu. Be mentally prepared for rush hour — even the city government admits the area around Hsinchu Science Park has long-term traffic congestion, so give yourself extra time getting in and out during peak hours. Xinzhuang Station only serves local trains, so departures are less frequent than at major stations.
The land in Guanpu was originally zoned for the second Hsinchu Science Park, covering about 327 hectares; the city government later pushed to develop it through a combination of urban land readjustment and zone expropriation. The name 'Guanpu' takes one character each from the Guanchang and Guangpu rezoning zones. The detailed plan for the rezoning district was announced at the end of 2007. When Xinzhuang Station opened in 2011 it was called 'Hsinchu Science Park (Xinzhuang)', but after local feedback, it was changed back to the place name Xinzhuang in 2013.
Compared with the 9 Hsinchu neighborhoods in this guide (scores 0–10)
Maps show the shops and the sights. What a street is like, you only know by walking it. TidyMap uses AI street imagery analysis and public facility data to turn each area's street environment and everyday convenience into something you can compare. Search an address and look at the street outside first.
How to read it: yellow = poor, blue = good; grey = not enough data
TidyMap rates the street environment and everyday convenience. It does not assess the home itself, safety, noise or actual living experience. Street environment scores use AI assessments of imagery; convenience scores use public facility data.
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