Table S1. Review of major recent studies assessing the relationships between various mobility services and housing price

Authors Area Period Obs. Type of housing Measurement method Major findings studied attributes studied system(s) Beckerich Lyon, 1995 N=1,499 Intrinsic Standard hedonic price LRT, , Valorization of urban public space is (2001) Location model(s), SAR, SEM parking facilities around 3.6% of housing price. Neighborhood Billings (2011) Charlotte, 1994-2008 N=189,325 Intrinsic Difference-in-difference LRT A neighborhood impact of 4.0-11.3% USA Location model(s) for properties within 1 mile of LRT Neighborhood stations Boucq and Paris, 1993-2004 N=91,354 Intrinsic Standard hedonic price LRT LRT capitalization in house prices = Papon (2008) France Location model(s) 3% Neighborhood Bowes and Atlanta, 1991-1994 N=22,388 Intrinsic Standard hedonic price Rail system *Properties within a quarter of mile Ihlanfeldt USA Location model(s) from a rail station are found to sell for (2001) Neighborhood 19% less than properties beyond 3 miles. *Properties […] between 1 and 3 miles have a significantly higher value compared to those farther away. Cervero and Seoul, 2001-2007 N=126,426 Intrinsic Multilevel logit BRT Land price premiums up to 10% were Kang (2011) Korea Location model(s) estimated for residences within 300m Neighborhood of BRT stops. Chen and Beijing- 2009-2014 N=1,016 Intrinsic Standard hedonic price High-speed rail *A considerable regional impact on Haynes (2015) Shanghai, Location model(s), SDM system housing values in medium and small China Neighborhood cities *A negligible impact in larger capital cities. Clower and Dallas, 1997-2001 N=6513 Difference-in-difference LRT *Single-family residential properties Weinstein USA model(s) show a 38.2 increase in residence (2002) median value nearest to a LRT station (20 percent for control group) *42 percent and 34.8 percent for multiproperty family values. Devaux, Laval, 1995-2013 N=5,209 Intrinsic Spatial difference-in- LRT Limited effect, in space and time, for Dubé, Location difference estimator proximity to the . Apparicio (2017) Diao, Singapore 2007-2013 N=3,755 Intrinsic *Network distance LRT The opening of a LRT line increases Leonard, Sing Location measure and local- housing values […] within the 600 – (2017) Neighborhood polynomial-regression meter network distance from the new approach stations by approximately 8.6% related *Spatial difference-in- to other properties differences model(s) Efthymiou, Athens, 2011-2012 N=16,466 Intrinsic Standard hedonic price Urban and *Metro, , suburban railways and Antoniou Greece Location model(s), SAR, SEM, nonurban public bus stations affect the prices positively (2013) Neighborhood SDM, SAC, GWR transport, *Old urban railway and national rail , stations, airports and ports have a negative effect. El-Geneidy, Montreal, 1996-2012 N=440,965 Intrinsic Step wise multilevel Bicycle sharing The presence of a bicycle sharing van Lierop, Canada Location longitudinal hedonic system system in a neighborhood with 12 Wasfi (2016) Neighborhood regression stations serving an 800-meter buffer is expected to increase the property value […] by approximately 2.7%. Fritsch (2007) Nantes, 2004 N=493 Intrinsic Poisson multiple Tramway A net effect of the tramway on house France Location regression prices: Neighborhood *Negative for houses close to the city center (1,7 to 2,4 km) *Positive for houses farther Gadzinski Poznan, 2010-2013 N=1,400 Intrinsic Standard hedonic price Tramway Weak correlation between the and Poland Location model(s), SEM, SAR, proximity to tramway and apartment Radzimski GWR prices. (2015) Hess and Buffalo, 2002 N=7,357 Intrinsic Standard hedonic price LRT A home located within one-quarter of Almeda (2007) USA Location model(s) a mile radius (400 m) of a Neighborhood station can earn a premium of $1300- 3000, or 2-5% of the city’s median home value. Hopkins 25 metro. 2013 N=101,667 Intrinsic Standard hedonic price Being located within half a mile of a (2017) areas, USA Location model(s) public transportation stop was a Neighborhood significant factor in explaining housing values for 6 out of 25 metro areas. Kanasugi and Japan 2008-2015 N=13,794 Intrinsic Difference-in-difference High-speed rail Residential land prices where the time Ushijima Location model(s) system distance to the Tokyo metropolitan (2017) area reduces rose, except where the population is decreasing

Le Boennec Nantes, 2002, 2006, N=2,850 Intrinsic Standard hedonic price Highways, rail Weak relationships between highways, and Sari France 2008 Location model(s), SEM, SDM system, train, tramway, bus networks and (2015) Neighborhood tramway, bus house prices Environmental (noise) Li, Yang, Qin, Beijing, 2009 N=3,819 Intrinsic Standard hedonic price LRT Positive and significant impact of Chonabayashi China Location model(s) subway proximity on property values : (2016) Neighborhood *within 3 km of the station by 15%, *within 3-5 km by 3.4%. Liu and Shi Portland, 2010-2013 N=20,122 Intrinsic Standard hedonic price On-street bike The proximity to advanced bike (2017) USA Location model(s), SAR facilities facilities has significant and positive Neighborhood effects on property values. Martinez and Lisbon 2007 N=12,488 Intrinsic Standard hedonic price LRT Proximity to one or two metro lines Viegas (2009) Metro. area, Location model(s), SAR leads to significant property value Portugal Neighborhood changes (3.49-6.17%) Mulley, Ma, Brisbane, 2011 N=7,693 Intrinsic Standard hedonic price BRT Being close to BRT adds a premium to Clifton, Yen, Location model(s), SEM, SAR, the housing price of 0.14%, for every Burke (2016) Neighborhood GWR hundred meters closer to the BRT station or 0.36% for every 250 m closer. Nguyen- Paris 2002-2008 N=161,299 Intrinsic Standard hedonic price Tramway Non-significant increase of housing Luong and Location model(s) price in the closest South suburb (-2 to Boucq (2011) Neighborhood + 7%) within the 200-400 m band. Pan and Shanghai, 2007 N=503 Intrinsic Standard hedonic price LRT The price of a residential unit drops by Zhang (2008) China Location model(s) 1.1% for every 100-m decrease in Neighborhood distance to the metro station. Pilgram and Minneap., 1990-2014 N=117,470 Intrinsic Difference-in-difference LRT The premium for station proximity West (2017) USA Location model(s) varies substantially depending on Neighborhood control group and period definitions for “after” light rail. Seo, Golub, Phoenix, 2009 N=20,149 Intrinsic Combined spatial log Highways, LRT * Highway exits : a positive Kuby (2014) USA Location and error model accessibility effect (1200 m) Neighborhood *Extends farther than for LRT stations (900 m) Wagner, Hampton 2002-2016 N=17,120 Intrinsic Difference-in-difference LRT Properties within 1500 m experienced Komarek, Roads, Location model(s) a decline in sale price of nearly 8%, Martin (2017) USA while the sale-list price spread declined by approximately 2%. Weinberger Santa Clara 1984-2000 N=3,675 Intrinsic Standard hedonic price Highways, LRT *No particular locational advantages (2001) County, Location model(s) associated with highway coverage. USA *Properties within 0.8 km of a LRT station command a higher lease rent than other. Welch, Portland, 2002-2013 N=146,311 Intrinsic Spatial panel model LRT, bike lanes The average home sold for 2.47$ more Gehrke, Wang USA Location incorporating both and paths with each foot that the residential (2016) Neighborhood spatial lag and spatial property was located away from a bike error effects lane.