Determining the Location of Shared Electric Micro-Mobility Stations in Urban Environment

Urban Science, Journal Year: 2024, Volume and Issue: 8(2), P. 64 - 64

Published: June 6, 2024

Locating shared electric micro-mobility stations in urban environments involves balancing multiple objectives, including accessibility, profitability, sustainability, operational costs, and social considerations. This study investigates traveler preferences regarding stations, focusing on factors influencing their location decisions. The used the Analytic Hierarchy Process (AHP) model to analyze criteria determine relative importance decisions of as evaluated by experts transportation fields. examined are proximity public transportation, accessibility key destinations, demographics (e.g., age, income), safety, land use, pedestrian cyclist infrastructure. Using AHP model, ranking each criterion were established. Results indicate that availability quality sidewalks bike lanes vicinity, along with popular destinations like shopping centers tourist attractions, emerge most influential criteria. least important such young age percentage area average income surrounding population. These findings underscore critical well-maintained infrastructure for mobility, well need convenient access high-traffic areas. Such insights provide valuable guidance informed decision making optimal placement stations.

Language: Английский

---

Nonlinear Influence of the Built Environment on the Attraction of the Third Activity: A Comparative Analysis of Inflow from Home and Work

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(9), P. 337 - 337

Published: Sept. 22, 2024

Gaining an understanding of the intricate mechanisms between human activity and built environment can help in promoting sustainable urban development. However, most scholars have focused on residents’ life work behavior ignored third (e.g., shopping, eating, entertainment). In this study, a random forest algorithm SHapley Additive exPlanation model were utilized to explore nonlinear influence attraction (other than home work). A comparative analysis inflow from was also carried out. The results show that contributions all variables differ home–other flow (HO) work–other (WO) at global scale, but their local effects are significantly similar. Furthermore, attractions vary one factor another. significant spatial heterogeneity be observed variables’ activity. These findings provide planners with insights will planning optimization communities for pursuing

Language: Английский

---

Exploring the relationship between built environment and spatiotemporal heterogeneity of dockless bike-sharing usage: A case study of Shenzhen, China

Cities, Journal Year: 2024, Volume and Issue: 155, P. 105504 - 105504

Published: Oct. 17, 2024

Language: Английский

---

How does the built environment affect intermodal transit demand across different spatiotemporal contexts?

Journal of Transport Geography, Journal Year: 2024, Volume and Issue: 121, P. 104033 - 104033

Published: Oct. 19, 2024

Language: Английский

---

The impact of heterogeneous accessibility to metro stations on land use changes in a bike-sharing context

Journal of Transport Geography, Journal Year: 2024, Volume and Issue: 121, P. 104019 - 104019

Published: Oct. 3, 2024

Language: Английский

---

Revealing the multiscale impact of external factors on dockless bike sharing and metro integration: Evidence from Shenzhen

International Journal of Sustainable Transportation, Journal Year: 2024, Volume and Issue: 18(11), P. 972 - 997

Published: Nov. 4, 2024

Dockless bike sharing (DBS) and metro integration offer innovative solutions for the first-mile last-mile challenges of urban transportation. However, accurately identifying transfer passenger volume, analyzing DBS characteristics, understanding spatial heterogeneity factors affecting this volume remain areas to explore. This study, using Shenzhen as a case, constructs framework identify by considering built environment elements around stations applying Thiessen polygon. Transfer volumes are classified into six categories, their spatio-temporal characteristics analyzed. A multiscale geographically weighted regression (MGWR) model investigates impacts socio-economic attributes, environment, transportation-related on revealing heterogeneity. Results show that demand is higher in morning peak than evening peak, with access peaks occurring earlier egress peaks. Spatially, shows heterogeneity, core suburbs. Commercial residential enterprises have most significant impact various types showing highest enterprises. In contrast, science education culture positively influence exhibit weakest Population density, sports leisure, shopping entertainment, tourist attractions display localized positive or negative impacts. These findings can guide operators planners optimizing public transportation resources enhance integration.

Language: Английский

---

Unravelling Impacts of Street Environment on Biking Using Explainable Spatial-Temporal Machine Learning

Published: Jan. 1, 2024

Language: Английский

---

Exploring the nuanced correlation between built environment and the integrated travel of dockless bike-sharing and metro at origin-route-terminus level

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106090 - 106090

Published: Dec. 1, 2024

Language: Английский

---