Understanding individual mobility patterns from urban sensing data: A mobile phone trace example F Calabrese, M Diao, G Di Lorenzo, J Ferreira Jr, C Ratti Transportation research part C: emerging technologies 26, 301-313, 2013 | 724 | 2013 |
Impacts of transportation network companies on urban mobility M Diao, H Kong, J Zhao Nature Sustainability 4 (6), 494-500, 2021 | 219 | 2021 |
Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China M Diao Transportation Research Part A: Policy and Practice 113, 279-290, 2018 | 207 | 2018 |
Spatial-difference-in-differences models for impact of new mass rapid transit line on private housing values M Diao, D Leonard, TF Sing Regional Science and Urban Economics 67, 64-77, 2017 | 198 | 2017 |
Inferring Individual Daily Activities from Mobile Phone Traces: A Boston Example M Diao, Y Zhu, J Ferreira Jr, C Ratti Environment and Planning B: Planning and Design 43 (5), 920-940, 2016 | 127 | 2016 |
Intra-city access to inter-city transport nodes: The implications of high-speed-rail station locations for the urban development of Chinese cities M Diao, Y Zhu, J Zhu Urban Studies 54 (10), 2249–2267, 2017 | 124 | 2017 |
Towards sustainable urban transport in Singapore: Policy instruments and mobility trends M Diao Transport policy 81, 320-330, 2019 | 121 | 2019 |
Selectivity, Spatial Autocorrelation, and the Valuation of Transit Accessibility M Diao Urban Studies 52 (1), 159-177, 2015 | 84 | 2015 |
Residential property values and the built environment: Empirical study in the Boston, Massachusetts, metropolitan area M Diao, J Ferreira Jr Transportation research record 2174 (1), 138-147, 2010 | 78 | 2010 |
A Big Data–Based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore K Cao, M Diao, B Wu Annals of the American Association of Geographers 109 (1), 173-186, 2019 | 74 | 2019 |
Are Singaporean cabdrivers target earners? S Agarwal, M Diao, J Pan, TF Sing Available at SSRN 2338476, 2015 | 58* | 2015 |
The impacts of urban mass rapid transit lines on the density and mobility of high-income households: A case study of Singapore Y Zhu, M Diao Transport Policy 51, 70-80, 2016 | 56 | 2016 |
Individual transport emissions and the built environment: A structural equation modelling approach S Song, M Diao, CC Feng Transportation Research Part A: Policy and Practice 92, 206-219, 2016 | 52 | 2016 |
Negative Externality of Rail Noise and Housing Values: Evidence from the Cessation of Railway Operations in Singapore M Diao, Y Qin, TF Sing Real Estate Economics 44 (4), 878-917, 2016 | 47 | 2016 |
Vehicle Miles Traveled and the Built Environment: Evidence from Vehicle Safety Inspection Data M Diao, J Ferreira Jr Environment and Planning A 46 (12), 2991-3009, 2014 | 36 | 2014 |
Understanding the spatiotemporal patterns of public bicycle usage: A case study of Hangzhou, China Y Zhu, M Diao International journal of sustainable transportation 14 (3), 163-176, 2020 | 34 | 2020 |
Effects of rail transit on individual travel mode shares: A two-dimensional propensity score matching approach F Dai, M Diao, TF Sing Transportation Research Part D: Transport and Environment 89, 102601, 2020 | 31 | 2020 |
An integrated microsimulation approach to land-use and mobility modeling Y Zhu, M Diao, J Ferreira, PC Zegras Journal of Transport and Land Use 11 (1), 633-659, 2018 | 29 | 2018 |
A new Mass Rapid Transit (MRT) line construction and housing wealth: Evidence from the Circle Line M Diao, Y Fan, TF Sing Journal of Infrastructure, Policy and Development 1 (1), 64-89, 2017 | 27 | 2017 |
The evolution of accessibility surface of China in the high-speed-rail era Y Zhu, M Diao, G Fu Environment and Planning A 48 (11), 2108-2111, 2016 | 27 | 2016 |