My research centres around interactions between human mobility, accessibility and wellbeing. The associations between these factors are often influenced by urban form, transport, community and sociodemographics. Much of my recent work incorporates crowdsourced smartphone and mobile phone data as well as individual sensor data, such wearable GPS/accelerometer devices, and spatial analytics.
- Conrow L., Mooney S. and Wentz EA. (2021) The association between residential housing prices, bicycle infrastructure and ridership volumes. Urban Studies 58(4): 787-808. http://dx.doi.org/10.1177/0042098020926034.
- Lieske SN., Leao SZ., Conrow L. and Pettit C. (2021) Assessing geographical representativeness of crowdsourced urban mobility data: An empirical investigation of Australian bicycling. Environment and Planning B: Urban Analytics and City Science 48(4): 775-792. http://dx.doi.org/10.1177/2399808319894334.
- Logan TM., Anderson MJ., Williams TG. and Conrow L. (2021) Measuring inequalities in urban systems: An approach for evaluating the distribution of amenities and burdens. Computers, Environment and Urban Systems 86 http://dx.doi.org/10.1016/j.compenvurbsys.2020.101590.
- Allahbakhshi H., Conrow L., Naimi B. and Weibel R. (2020) Using accelerometer and GPS data for real-life physical activity type detection. Sensors (Switzerland) 20(3) http://dx.doi.org/10.3390/s20030588.
- Münch M., Weibel R., Sofios A., Huang H., Infanger D., Portegijs E., Giannouli E., Mundwiler J., Conrow L. and Rantanen T. (2019) MOBIlity assessment with modern TEChnology in older patients' real-life by the General Practitioner: The MOBITEC-GP study protocol. BMC Public Health 19(1) http://dx.doi.org/10.1186/s12889-019-8069-2.