Next Article in Journal
Mapping the Accessibility of Medical Facilities of Wuhan during the COVID-19 Pandemic
Next Article in Special Issue
Public Bike Trip Purpose Inference Using Point-of-Interest Data
Previous Article in Journal
Integration of Laser Scanner and Photogrammetry for Heritage BIM Enhancement
Previous Article in Special Issue
Hotspot Detection and Spatiotemporal Evolution of Catering Service Grade in Mountainous Cities from the Perspective of Geo-Information Tupu
Article

A Proposed Framework for Identification of Indicators to Model High-Frequency Cities

1
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
2
Smart Cities Research Institute, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China
*
Author to whom correspondence should be addressed.
Academic Editors: Wolfgang Kainz and Maria Antonia Brovelli
ISPRS Int. J. Geo-Inf. 2021, 10(5), 317; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050317
Received: 12 March 2021 / Revised: 4 May 2021 / Accepted: 6 May 2021 / Published: 8 May 2021
(This article belongs to the Special Issue Geodata Science and Spatial Analysis in Urban Studies)
A city is a complex system that never sleeps; it constantly changes, and its internal mobility (people, vehicles, goods, information, etc.) continues to accelerate and intensify. These changes and mobility vary in terms of the attributes of the city, such as space, time and cultural affiliation, which characterise to some extent how the city functions. Traditional urban studies have successfully modelled the ‘low-frequency city’ and have provided solutions such as urban planning and highway design for long-term urban development. Nevertheless, the existing urban studies and theories are insufficient to model the dynamics of a city’s intense mobility and rapid changes, so they cannot tackle short-term urban problems such as traffic congestion, real-time transport scheduling and resource management. The advent of information and communication technology and big data presents opportunities to model cities with unprecedented resolution. Since 2018, a paradigm shift from modelling the ‘low-frequency city’ to the so-called ‘high-frequency city’ has been introduced, but hardly any research investigated methods to estimate a city’s frequency. This work aims to propose a framework for the identification and analysis of indicators to model and better understand the concept of a high-frequency city in a systematic manner. The methodology for this work was based on a content analysis-based review, taking into account specific criteria to ensure the selection of indicator sets that are consistent with the concept of the frequency of cities. Twenty-two indicators in five groups were selected as indicators for a high-frequency city, and a framework was proposed to assess frequency at both the intra-city and inter-city levels. This work would serve as a pilot study to further illuminate the ways that urban policy and operations can be adjusted to improve the quality of city life in the context of a smart city. View Full-Text
Keywords: high-frequency city; urban mobility; big data; spatial network; urbanisation high-frequency city; urban mobility; big data; spatial network; urbanisation
Show Figures

Figure 1

MDPI and ACS Style

Senousi, A.M.; Zhang, J.; Shi, W.; Liu, X. A Proposed Framework for Identification of Indicators to Model High-Frequency Cities. ISPRS Int. J. Geo-Inf. 2021, 10, 317. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050317

AMA Style

Senousi AM, Zhang J, Shi W, Liu X. A Proposed Framework for Identification of Indicators to Model High-Frequency Cities. ISPRS International Journal of Geo-Information. 2021; 10(5):317. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050317

Chicago/Turabian Style

Senousi, Ahmad M., Junwei Zhang, Wenzhong Shi, and Xintao Liu. 2021. "A Proposed Framework for Identification of Indicators to Model High-Frequency Cities" ISPRS International Journal of Geo-Information 10, no. 5: 317. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050317

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop