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Jianhao Shi

Publications and source records attributed to Jianhao Shi.

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Spatial Activity Opportunity Fairness among Elderly Residents in Nagoya: A Comparative Analysis across Three Wards with Different Rent Levels

Population aging has made the daily mobility of older adults an increasingly important issue for urban planning and transport research. While previous studies have examined elderly mobility in relation to accessibility, active aging, and transport inclusion, less attention has been paid to whether older adults living in different residential contexts experience equal spatial activity opportunities. This study addresses that gap by comparing elderly residents in three wards of Nagoya, namely Naka, Showa, and Moriyama, which represent different rent levels and urban opportunity contexts. Using stay events derived from GPS-based mobility data, we construct a 500 m x 500 m grid-based analytical framework and examine spatial activity opportunity fairness through four dimensions: activity space, opportunity context, opportunity exposure, and semantic structure. The results show clear inter-group differences. Naka residents display the strongest concentration in the urban core, Showa residents occupy an intermediate position, and Moriyama residents exhibit a more dispersed and corridor-oriented pattern. Citywide semantic opportunities are unevenly distributed and concentrated around the urban core. Event-level exposure also shows a clear gradient, with Naka residents encountering the highest opportunity density, followed by Showa and Moriyama. Category-specific analysis further reveals that Naka residents are more strongly embedded in Retail/Service and Food/Drink opportunity structures, whereas Showa and Moriyama show relatively stronger Transit-related components. These findings suggest that spatial activity opportunity inequality among elderly residents is not one-dimensional, but multi-dimensional and category-specific. The paper contributes an event-based perspective for examining experienced urban opportunity inequality under differentiated residential contexts.

physics.soc-ph

Rhythm-consistent semi-Markov simulation of tourist mobility rhythms with probabilistic event-to-POI assignment: Hakone, Japan

Understanding the timing and sequencing of activity participation in tourist mobility is central to travel behavior research, yet GPS trajectories are noisy, irregularly sampled, and only weakly linked to activity locations, which limits interpretation and scenario analysis. We address this by mapping each stay event to candidate points of interest (POIs) probabilistically, using explicit prior-likelihood weighting that yields a normalized compatibility distribution rather than hard matching. Using one month of high-density tourist trajectories in Hakone, Japan (November 2021), we construct semantic stay-event sequences based on observed place-category labels (MID10) and describe mobility rhythms through hour-by-category profiles, category transitions, and expected dwell patterns. Building on these rhythm signatures, we develop a rhythm-consistent semi-Markov simulator that generates synthetic stay-event sequences with time-conditioned transitions and category-dependent dwell behavior. In the observed data, hour-by-category summaries are computed by probability-weighted aggregation over soft labels; in simulation, each event is generated with a discrete category and a sampled dwell duration, enabling like-for-like comparison after aggregation. We further conduct counterfactual POI-inventory scenarios to quantify how hypothetical POI configuration changes shift stay intensity across time, categories, and space, particularly around hubs and main corridors. Observed-simulated comparisons show close agreement in temporal profiles and category distributions, indicating that probabilistic labeling and rhythm-consistent simulation preserve key mobility structure while providing an interpretable basis for transport-geography scenario evaluation.

cs.CY