GIS

Cities across the country (20 to date) are rapidly passing laws to mandate the collection and disclosure of energy usage data with the hopes that such data could be utilized to benchmark building energy performance and provide a basis for designing and ...

This paper studies how commercial facilities and events change the spatial structures of consumption-oriented human flows. We utilize the smart card data of public transportation in the Kansai Area, Japan. In this paper, we develop a method to ...

The recent years witnessed popular use of smart phones and wearable devices. Such mobile devices are widely equipped with GPS sensors to record their geographical positions, generating massive spatial trajectory data. Many real applications, such as ...

In this work, we attempt an exploratory analysis of spatio-temporal patterns of crime in San Francisco. We apply spectral analysis to the temporal evolution of all categories of crime, finding that many have a weekly or monthly periodicity, along with ...

The wide spread use of GPS-enabled devices facilitates us to sense the movement of vehicles. Detecting anomalous movement behavior on road segments can benefit both drivers and transportation authorities. An important challenge behind this is how to ...

Route planning for a set of locations based on trajectory searching is a hot topic. To obtain previous drivers' knowledge on route selection, some existing works search trajectories which are spatially close to the query locations. However, these ...

In this article, we analyze geolocated Airbnb rental images in ten major cities. Airbnb is a hallmark institution in the sharing economy, allowing anyone with a bed and shelter to act like a micro-hotel, i.e. a bed-and-breakfast for other travelers. ...

We propose a method that integrates two widely available data sources, building footprints from 2D maps and street level images, to derive valuable information that is generally difficult to acquire --- building heights and building facade masks in ...

In the context of Smart Africa Initiative, we present a method to infer multiple land use in Africa. Such information is usually scarce in developing countries due to the constrained resources. Timely land use information is a critical input to smart ...

Cities are actively creating open data portals to enable predictive analytics of urban data. However, the large number of observable patterns that can be extracted as rules by techniques such as Association Rule Mining (ARM) makes the task of sifting ...