Livehouse Location Analysis

This project is in progress!

Background

With the launch of certain veiled policy in Beijing, diversion of consumers’ entertainment, and the departure of metalheads in Beijing, lots of live house have gone out of business in the past two years, leaving the ecstasy in the live a forsaken and distant memory.

“An opportunity to know deeper about this city was offered and I could hide myself in the corner of a live house at night. Everyone was equal here no matter how crazy and weird you were, and you could be yourself without judgement.”

E.g.愚公移山(Yugongyishan Livehouse) now is a retail store.

图片名称 图片名称

quick wiki: what’s a live house?

A live house is a Japanese live music club – a music venue featuring live music. The term is a Japanese coinage and is mainly used in East Asia.

It most frequently refers to smaller venues, which may double as bars, especially featuring rock, jazz, blues, and folk music.

And this project will emphasize the metal live house.

INTRODUCTION

project feature

A location analysis with quantitative and qualitative methodologies

with what I learn in urban planning and data science

in memory of the previous live house experience

for the hope of a better place for subcultural groups like metalheads

aim

(Supposing that I have sufficient money)

to invest, locate, and design a live house

where metalheads can appreciate live🎸 and drink beer🍻 and I can have maximized profit💰

Data I plan to use

  • quantitative: housing price data - crawl from real estate web, poi(location, attribute, type, etc.) - query from Gaode Map API

  • qualitative: historical, archival, and other documents, in-depth interviews, cognitive maps

estimated outcomes

  1. an analysis report .pdf and .gpkg MAIN
  2. a guiding template for location analysis with open source data and code in this project GitHub repository
  3. a video recording my journey in this project .mp4
  4. live house surface design with rhino python with emphasis on develop instead of design .py and .3dm

PROJECT VALUE

  • Combine qualitative and quantitive methodologies to form comprehensive result, which few previous study did.
  • Use program to increase efficiency, mainly python.
  • Will be completely open source and handy to use (except for the ethnographic content that interviewees may not want to public)