Access to employment and property values in Mexico

Abstract

Location is one of the main characteristics households consider when buying a property or deciding where to live, since it determines accessibility to transport and hence to jobs and employment. Using a geographically-referenced dataset on new housing developments, this paper estimates how households value accessibility in Mexico City. Results are shown considering road accessibility to formal employment subcenters (private accessibility) and distance to the main public transport stations in the city (public accessibility). Results suggest that accessibility to employment subcenters is valued as an amenity by households but being closer to a Metro station is perceived as a disamenity. Moreover, households located in neighborhoods with a greater proportion of informal workers and with lower education levels give a lower value to private accessibility than households located in neighborhoods with a lower proportion of informal workers or in high-educated neighborhoods. These results are evidence of the existence of spatial segregation in the city where disadvantaged households are segregated, not only because of their economic conditions, but because they are located farther away from employment opportunities. The results in this work stress the importance of thinking about integrated land use and transport policies.

Accessibility, Infrastructure Provision and Residential Land Value: Modelling the Relation Using Geographic Weighted Regression in the City of Rajkot, India

“…A 1% change in job accessibility resulted in a 0.30% change in the land value. As accessibility values were quantified in a particular manner, there was no direct comparison with observations in other empirical literature; still, it was significantly higher than the 10% increase observed by Ding, Zheng and Guo [15] and the 2.2% increase observed in the case of Mexico [16]. For every percent decrease in walking time to recreation, there was a 0.15% increase in land value, which was comparable with observations by Dziauddin, Powe and Alvanides [14].…”

“…From the discussion in Section 2, the key variables affecting land value are identified as accessibility (to jobs and other activities), proximity and access to public transport, transport infrastructure, and neighbourhood characteristics. Accessibility is mostly quantified in literature as the distance to CBD or as proximity to jobs [13][14][15][16]; this indicator was expanded for Rajkot to include shopping and recreational opportunities. Likewise, access to the green infrastructure [21,[26][27][28][29] is quantified as the distance to gardens.…”

A methodology for identifying critical factors influencing land value in urban areas: a case study of Kerala, India

“…The only factor selected from this subcategory is “distance to major sources of employment.” Few studies like Atuesta et al (2018) and Agnew and Lyons (2018) have revealed the significance of employment sources on property values. The respondents identified this factor as influencing land value with an RII value of 0.86 and ranked 19.…”

Μελέτη Επιρροής Περιβαλλοντικών Και Πολεοδομικών Στοιχείων Στις Αξίες Ακινήτων

“…Ενδεικτικά, η συγκοινωνιακή σύνδεση αποδείχθηκε πως επηρεάζει τη ζήτηση των οικιστικών ακινήτων σε σχέση με την απόσταση από τους σταθμούς των ΜΜΜ, ενώ διαφορετική σημαντικότητα έχει η μετακίνηση με Ι.Χ. στα άτομα με υψηλότερο μορφωτικό επίπεδο (Atuesta, Ibarra-Olivo, Lozano-Gracia, & Deichmann, 2018).…”