Reomnify Global Urban Insight Indices - Public Real Estate & Infrastructure Data

By leveraging our own, external and customer datasets we are able to design and build granular indices, scoring different urban locations on key decision-making factors. Examples include: 1. Identifying the best places to build certain real estate assets types. 2. Residential indices, revealing unique insights on the appropriateness of different locations. 3. Tenant site location strategy (retail, hospitality etc).

搜集汇总

背景与挑战

背景概述

该数据集通过整合自有、外部和客户数据，构建了细粒度的城市洞察指数，用于评估不同城市位置在房地产和基础设施决策中的关键因素。其应用包括识别最佳房地产资产建设地点、提供住宅位置适宜性分析，以及支持零售和酒店等租户的选址策略。