Exploring the spatial patterns of visitor expenditure in cities using bank card transactions data

The effect of short‐term rentals on local consumption amenities: Evidence from Madrid

“…Previous research has shown for the Madrid case that tourists' spending is mainly concentrated in restaurants (Aparicio et al, 2022). For this reason, our main dependent variable will be the total number of food and beverage establishments at the census tract level.…”

Towards a new urban geography of expenditure: Using bank card transactions data to analyze multi-sector spatiotemporal distributions

“…Also at the intraurban scale, Yoshimura et al (2020) used shop revenue data to calculate correlations with density and street network connectivity, but the analysis of the spatial distribution was not the focus. Recently, Aparicio et al (2021) analyzed the spatial distribution of expenditure at the intraurban scale, but focused on tourists and made no distinction of commercial sectors.…”

“…Further, diverse clienteles buy goods and services in Madrid city. First, with regard to their home location: Madrid is a shopping destination for locals, daily commuters, national and international tourists (Aparicio et al, 2021;Salas-Olmedo et al, 2018). Second, socioeconomic diversity is significant within Madrid boundaries, although residential social mix is limited, given that spatial segregation is among the greatest of European capitals (Marcińczak et al, 2015;Musterd et al, 2017).…”

“…For 2018, the dataset includes 52.9 million transactions, and over 68 billion euros. BBVA data has been used in previous academic works for different objectives with outstanding results (Alfaro Martinez et al, 2016;Aparicio et al, 2021;Hashemian et al, 2017;Lenormand et al, 2015;Sobolevsky et al, 2015Sobolevsky et al, , 2016Sobolevsky, Sitko, Grauwin, et al, 2014;Yoshimura et al, 2020).…”

“…Finally, future research could aim at explaining the spatial distribution of expenditure using regressions with possible predictors like the built environment, accessibility, socio-economic or socio-symbolic variables (Aparicio et al, 2021). Some of these probable relationships with the built environment and accessibility could be a first step towards an integration of expenditure forecast into the spatial planning framework.…”