This study analyses the impact emerging platforms for housing allocation might have on the Swedish housing market, through an analysis of allocation platforms and housing queues. The study utilises Fields and Rogers’ (2021) typology of operational and data platforms in order to define and analyse the practices of municipal housing agencies, marketplaces for rental housing, and assistants for managing housing queues, as allocation platforms. Characteristic of allocation platforms, defined within the framework of platform real estate (PRE), is engagement in data collection and valuation. Combining housing applicants’ ‘übercapital’ (Fourcade & Healy, 2017) with queue times creates what I term queue capital. This queue capital serves as a dual process of data-valuation, that allows for valuation of rental housing according to queue time, but also enables housing seekers to access rental housing. Furthermore, housing queues are categorised as strict or indicative based on the rental policies of housing companies: strict queues, commonly used by municipal housing agencies, prioritise the first eligible applicant, whereas indicative queues, prevalent in marketplaces, organise applicants without strictly adhering to queue order.

The California Global Warming Solutions Act, also known as Assembly Bill 32 (AB 32), was passed in 2006 to reduce California emissions to 1990 levels by 2020. Senate Bill 375 (SB 375) was passed in 2008 to support AB 32's emission goals. SB 375 aims to reduce emissions from transportation and land use by assigning regional per capita emission targets for 2020 and 2035. Through a series of four case studies of San Diego, San Francisco, Fresno, and Berkeley, this thesis investigates the impacts of SB 375. Each region is required to combine housing and regional transit plans in the hopes of promoting future sustainable growth. By compacting development SB 375 hopes to reduce sprawl and per capita emissions over time by greatly decreasing vehicular miles traveled.