Vol 3, No 1 (2017)

Table of Contents


1348 Views, 106 PDF Downloads
Soroosh Nalchigar, Mark Fox


A major challenge in making cities smarter is performing comparative analyses across two or more cities, or within a city across two or more departments. The problem is that data models and the underlying semantics of their content differ, making analysis difficult at best and erroneous at worst. This paper explores the hypothesis that a single, interoperable (i.e., shareable) data model/ontology can be designed for one category of city data: openly published 311 call centre data. 311 is a service provided by many North American cities that responds to non-emergency questions and reports made by the public. It has rapidly become the single point of contact for city services, inquiries, etc. We perform a semantic analysis of the content of 311 open datasets from four cities. The result of the analysis is that existing 311 datasets combine multiple semantic dimensions in their data making it impossible to perform comparative analysis. We then construct a 311 Reference Ontology that separates the semantic dimensions, and show how 311 data from multiple cities can be mapped onto the 311 Reference Ontology.  We also demonstrate how the ontology can be used to support analysis

372 Views, 55 PDF Downloads
Jason Ng


Smart cities have gained widespread interests in the recent years. However, the understanding of the subject can differ among different smart cities' communities, particularly across the academia, industry, and government sectors. Similarly, the approach towards the realization of smart cities can vary from one city to the other, depending on their standpoints and perspectives. These are largely due to the subject matter at hand which is not only inherently interdisciplinary but also all-encompassing in nature, hence resulting in the wide heterogeneity in the treatment of the subject. The purpose of this paper is thus aimed to summarize the basic pertinent understanding of smart cities (in terms of “why”, “what”, “who”, “when”, “where”) as well as to put forward the various key approaches in smart cities (in terms of “how”). From there, a smarter approach towards smart cities is then delineated taking into account the considerations of the government, providers and consumers in order to attain an overall win-win benefit for all the stakeholders involved. It is meant to be a short and concise paper for both practitioners and researchers, (1) who are in the field to gain a additional insight into the subject or (2) who are new in the field to get an introductory overview of the subject, so as to obtain a better understanding in the approach towards smart cities that is relevant to their individual context.

353 Views, 103 PDF Downloads
Kwi-Gon Kim


Currently, there is no overarching model to integrating city planning, smart techniques and climate change. After reviewing the existing literature on the theoretical framework of smart water grid, this paper describes three case studies focusing on innovative technology placement and network of smart water grids in Fiji islands, Nepal and the Philippines. Then, based on the case study results, this study develops an alternative grid development pattern scenario model. The model shows ecology-water-energy-climate change nexus which allows for simulating and predicting the effects of smart water grid on the urban ecosystem and net carbon emissions.