Non-work accessibility and related outcomes

Inequalities in the commuting burden: Institutional constraints and job-housing relationships in Tianjin, China

“…Having recognised that the housing supply and management of labour mobility have a substantial impact on workers' commuting times, governments and organisations have made efforts to reduce the unequal commuting burden, for example by increasing public transport operating hours, reducing fares and providing commuting subsidies (Hine, 2003;Lucas & Jones, 2012;Lucas & Stanley, 2009). Some researchers believe that the use of spatial planning to achieve mixed land use can help to curb the increase in commuting burdens, particularly those faced by low-income people in developing countries, thereby promoting commuting equity (Burton, 2000;McCahill, 2018). This is because the local job-housing balance and land use diversity are strongly associated with commuting times for people on low incomes (Cervero, 1996;Cervero, 1991;Schleith & Horner, 2014).…”

“…This reflects the fact that some respondents favoured mixed planning for residential and work areas. McCahill (2018) pointed out that more spread out land use patterns contributed to increased commuting times. Some immigrants are more likely to support relatively mixed land use and proximity to jobs and housing in order to achieve a better job-housing balance, according to the master plan published by the local government.…”

COVID-19 impacts on non-work travel patterns: A place-based investigation using smartphone mobility data

“…The majority of transportation research on accessibility metrics has focused on access to jobs and spatial mismatch between work-related destinations and homes of the job seekers ( Grengs, 2010 ; Yeganeh et al, 2018 ). However, commuting to work does not represent people’s daily travel patterns which include many other important destinations, such as recreational facilities, grocery stores, and restaurants ( McCahill, 2018 ).…”