Analysis of public transport (in)accessibility and land-use pattern in
different areas in Singapore
- URL: http://arxiv.org/abs/2207.01445v1
- Date: Mon, 4 Jul 2022 14:32:47 GMT
- Title: Analysis of public transport (in)accessibility and land-use pattern in
different areas in Singapore
- Authors: Hoai Nguyen Huynh
- Abstract summary: We analyse the accessibility to public transport in terms of the spatial coverage of the transport nodes (stops) and the quality of service at these nodes across different areas.
We find that the commercial areas in the CBD area expectedly have excellent accessibility and the residential areas also have good to very good accessibility.
While the spatial coverage of stops in these areas is very good, the quality of service indicates substantial variation among different regions.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: As more and more people continue to live in highly urbanised areas across the
globe, reliable accessibility to amenities and services plays a vital role in
sustainable development. One of the challenges in addressing this issue is the
consistent and equal provision of public services, including transport for
residents across the urban system. In this study, using a novel computational
method combining geometrical analysis and information-theoretic measures, we
analyse the accessibility to public transport in terms of the spatial coverage
of the transport nodes (stops) and the quality of service at these nodes across
different areas. Furthermore, using a network clustering procedure, we also
characterise the land-use pattern of those areas and relate that to their
public transport accessibility. Using Singapore as a case study, we find that
the commercial areas in the CBD area expectedly have excellent accessibility
and the residential areas also have good to very good accessibility. However,
not every residential area is equally accessible. While the spatial coverage of
stops in these areas is very good, the quality of service indicates substantial
variation among different regions, with high contrast between the central and
eastern areas compared to the others in the west and north of the city-state.
We believe this kind of analysis could yield a good understanding of the
current level of public transport services across the urban system, and their
disparity will provide valuable and actionable insights into the future
development plans.
Related papers
- MetaUrban: A Simulation Platform for Embodied AI in Urban Spaces [52.0930915607703]
Recent advances in Robotics and Embodied AI make public urban spaces no longer exclusive to humans.
Food delivery bots and electric wheelchairs have started sharing sidewalks with pedestrians, while diverse robot dogs and humanoids have recently emerged in the street.
Ensuring the generalizability and safety of these forthcoming mobile machines is crucial when navigating through the bustling streets in urban spaces.
We present MetaUrban, a compositional simulation platform for Embodied AI research in urban spaces.
arXiv Detail & Related papers (2024-07-11T17:56:49Z) - Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for
Cross-City Semantic Segmentation using High-Resolution Domain Adaptation
Networks [82.82866901799565]
We build a new set of multimodal remote sensing benchmark datasets (including hyperspectral, multispectral, SAR) for the study purpose of the cross-city semantic segmentation task.
Beyond the single city, we propose a high-resolution domain adaptation network, HighDAN, to promote the AI model's generalization ability from the multi-city environments.
HighDAN is capable of retaining the spatially topological structure of the studied urban scene well in a parallel high-to-low resolution fusion fashion.
arXiv Detail & Related papers (2023-09-26T23:55:39Z) - Bridging the Urban-Rural Connectivity Gap through Intelligent Space,
Air, and Ground Networks [68.8204255655161]
Connectivity in rural areas is one of the main challenges of communication networks.
We highlight the latest works on rural connectivity, discuss the solutions for terrestrial networks, and study the potential benefits of nonterrestrial networks.
We discuss the rural connectivity challenges and highlight the latest projects and research and the empowerment of networks using AI.
arXiv Detail & Related papers (2022-02-25T13:40:35Z) - Transportation Scenario Planning with Graph Neural Networks [18.649470588366505]
We propose to leverage GMEL, a recently introduced graph neural network model, to evaluate changes in commuting flows.
We validate the usefulness of our methodology through real-world case studies set in two large cities in Brazil.
arXiv Detail & Related papers (2021-10-25T18:28:14Z) - A Generalized Framework for Measuring Pedestrian Accessibility around
the World Using Open Data [0.0]
This study develops an open source software framework to construct pedestrian accessibility indicators for cities using open and consistent data.
The software is made publicly available for reuse in an open repository.
arXiv Detail & Related papers (2021-05-18T20:22:58Z) - Local Betweenness Centrality Analysis of 30 European Cities [0.0]
We show that road segments important for long-distance transportations are concentrated along larger streets while those for short range transportations form clusters around CBD, historical, or residential districts.
Our findings are useful for urban planners and decision-makers to understand the current situation of the city and make informed decisions.
arXiv Detail & Related papers (2021-03-21T17:08:04Z) - Automatic Extraction of Urban Outdoor Perception from Geolocated
Free-Texts [1.8419317899207144]
We propose an automatic and generic approach to extract people's perceptions.
We exemplify our approach in the context of urban outdoor areas in Chicago, New York City and London.
We show that our approach can be helpful to better understand urban areas considering different perspectives.
arXiv Detail & Related papers (2020-10-13T14:59:46Z) - Urban Sensing based on Mobile Phone Data: Approaches, Applications and
Challenges [67.71975391801257]
Much concern in mobile data analysis is related to human beings and their behaviours.
This work aims to review the methods and techniques that have been implemented to discover knowledge from mobile phone data.
arXiv Detail & Related papers (2020-08-29T15:14:03Z) - Smart Urban Mobility: When Mobility Systems Meet Smart Data [55.456196356335745]
Cities around the world are expanding dramatically, with urban population growth reaching nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by 2050.
The economic contribution of the transport sector represents 5% of the GDP in Europe and costs an average of US $482.05 billion in the U.S.
arXiv Detail & Related papers (2020-05-09T13:53:01Z) - Measuring Spatial Subdivisions in Urban Mobility with Mobile Phone Data [58.720142291102135]
By 2050 two thirds of the world population will reside in urban areas.
This growth is faster and more complex than the ability of cities to measure and plan for their sustainability.
To understand what makes a city inclusive for all, we define a methodology to identify and characterize spatial subdivisions.
arXiv Detail & Related papers (2020-02-20T14:37:46Z) - Autonomous Shuttle-as-a-Service (ASaaS): Challenges, Opportunities, and
Social Implications [10.075017640104843]
Smart mobility systems aim to support efficient exploitation of city transport facilities.
In the last few years, several cities indicated interest in using Autonomous Vehicles for the "last-mile" mobility services.
Autonomous Shuttles (AS) are beginning to be thought of as a new mobility/delivery service into the city center.
arXiv Detail & Related papers (2020-01-14T12:34:03Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.