Hezhishi Jiang
Biographic Data
| ID | 3635483 |
|---|---|
| NAME | Hezhishi Jiang |
| GIVEN NAMES | Hezhishi |
| FAMILY NAME | Jiang |
| SIGNATURE | JIANG H |
| AFFILIATIONS | Peking University |
| ORCID | 0000-0002-6242-7291 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Massive Retail Location Choice as a Human‐Flow‐Covering Problem
In this article we reframe the massive location choice problem for retail chains by proposing an optimization model that integrates human mobility. Traditional methods of massive location choice encounter limitations rooted in assumptions such as power‐law distance decay and oversimplified travel patterns. In response, we present a spatial operations research model aimed at maximizing customer coverage, using massive individual trajectories as a …
Enhancing Urban Resilience Through Spatial Interaction-Based City Management Zoning
Good city management is essential in mitigating the impact of various crisis events and thus enhances urban resilience. The current zoning system that underlies China’s city management system, however, hardly meets the resilient requirements in failing to appropriately and flexibly allocate patrol personnel under normal and various crisis scenarios. We propose an optimization method that gives rise to a resilient city management zoning system by …
Enhancing Urban Resilience Through Spatial Interaction-Based City Management Zoning
Good city management is essential in mitigating the impact of various crisis events and thus enhances urban resilience. The current zoning system that underlies China’s city management system, however, hardly meets the resilient requirements in failing to appropriately and flexibly allocate patrol personnel under normal and various crisis scenarios. We propose an optimization method that gives rise to a resilient city management zoning system by …
Enhancing Urban Resilience Through Spatial Interaction-Based City Management Zoning
Good city management is essential in mitigating the impact of various crisis events and thus enhances urban resilience. The current zoning system that underlies China’s city management system, however, hardly meets the resilient requirements in failing to appropriately and flexibly allocate patrol personnel under normal and various crisis scenarios. We propose an optimization method that gives rise to a resilient city management zoning system by …
Massive Retail Location Choice as a Human‐Flow‐Covering Problem
In this article we reframe the massive location choice problem for retail chains by proposing an optimization model that integrates human mobility. Traditional methods of massive location choice encounter limitations rooted in assumptions such as power‐law distance decay and oversimplified travel patterns. In response, we present a spatial operations research model aimed at maximizing customer coverage, using massive individual trajectories as a …
Business (1 work) · China (1 work) · Civil engineering (1 work) · Cognitive reframing (1 work) · Community resilience (1 work) · Computer Science (1 work) · Consumer Retail Behavior Studies (1 work) · Crisis management (1 work) · Economics (1 work) · Engineering (1 work)