January 2024
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13 Reads
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2 Citations
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Publications (5)
November 2023
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212 Reads
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7 Citations
The rise in “urban diseases” like population density, traffic congestion, and environmental pollution has renewed attention to urban livability. Walkability, a critical measure of pedestrian friendliness, has gained prominence in urban and transportation planning. This research delves into a comprehensive analysis of walking accessibility, examining both subjective and objective aspects. This study aims to identify the influencing factors and explore the underlying mechanisms driving walkability within a specific area. Through a questionnaire survey, residents’ subjective perceptions were gathered concerning various factors such as traffic operations, walking facilities, and the living environment. Structural equation modeling was employed to analyze the collected data, revealing that travel experience significantly impacts perceived accessibility, followed by facility condition, traffic condition, and safety perception. In the objective analysis, various types of POI data served as explanatory variables, dividing the study area into grids using ArcGIS, with the Walk Score® as the dependent variable. Comparisons of OLS, GWR and MGWR demonstrated that MGWR yielded the most accurate fitting results. Mixed land use, shopping, hotels, residential, government, financial, and medical public services exhibited positive correlations with local walkability, while corporate enterprises and street greening showed negative correlations. These findings were attributed to the level of development, regional functions, population distribution, and supporting facility deployment, collectively influencing the walking accessibility of the area. In conclusion, this research presents crucial insights into enhancing walkability, with implications for urban planning and management, thereby enriching residents’ walking travel experience and promoting sustainable transportation practices. Finally, the limitations of the thesis are discussed.
August 2023
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31 Reads
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8 Citations
Transport Policy
August 2023
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26 Reads
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14 Citations
Journal of Cleaner Production
February 2023
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90 Reads
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28 Citations
Journal of Cleaner Production
Citations (5)
... Study [14] presents a dual-phase research methodology to analyze parking patterns and enhance parking space distribution. The first phase develops a hierarchical framework of parking lots, zones, and berths to evaluate parking characteristics through metrics including saturation, turnover, and duration, the second phase introduces a nonlinear optimization model. ...
- Citing Preprint
January 2024
... Criteria for determining density levels for bicycle traffic Private vehicles Private transportation involves individuals traveling via non-public means, primarily private vehicles. Although it enhances personal comfort and mobility within major cities, excessive reliance on private transport creates challenges such as traffic congestion and environmental pollution[ 39 ] ...
- Citing Article
- Full-text available
November 2023
... In the context of curb space, although data are available for specific operations -such as roadside parking (Zhou et al., 2023;Chen et al., 2023b) or transportation network company (TNC) operations (Grahn et al., 2020;Erhardt et al., 2021) -integrating these datasets to develop a comprehensive framework that simultaneously considers various users remains challenging. Microsimulation offers an effective solution to this challenge, enabling researchers to create customized study environments and evaluate different scenarios under nuanced conditions. ...
- Citing Article
August 2023
Transport Policy
... In response to these environmental challenges, electric vehicles (EVs) have emerged as a promising alternative, producing zero tailpipe emissions (Han et al., 2017;Zhang et al., 2023) and benefiting from technological advances (Pamidimukkala et al., 2023). Governments across the globe are stepping up their efforts to encourage EV adoption by introducing policies like subsidies, tax breaks, and expanded charging infrastructure (Kresnanto and Putri, 2024;Krishnan and Sreekumar, 2023). ...
- Citing Article
August 2023
Journal of Cleaner Production
... Therefore, this study aims to utilize the Light Gradient Boosting Machine (LightGBM) model to investigate the feeder mode choice of DBS and EBS connecting to the metro. The LightGBM is an efficient gradient boosting framework that employs decision tree algorithms, making it particularly suited for handling large-scale datasets and effectively capturing complex nonlinear relationships between variables (Jin et al. 2022;Liu et al. 2023). Taking Kunming, China as a case study, the study first analyzes one month of actual user order data from DBS and EBS to identify metro-connected users' trips and to distinguish specific connection modes (i.e., from-metro/to-metro). ...
- Citing Article
February 2023
Journal of Cleaner Production