Sustainability assessment of station-city integration based on DPSIR-SDGs framework: a case study of Chengdu in China DOI Creative Commons
Zhenhua Luo, Zijing Chen, Xiaoqing Wu

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Янв. 9, 2025

The integrated station-city urban space development model based on public transportation-oriented solves problems such as chaotic traffic order and provides new ideas for promoting sustainable development. Evaluating the sustainability of integration at planning stage can solve current development, low efficiency transportation synergy lack coordination organization land This paper constructs a evaluation index system Driving Force-Pressure-State-Impact-Response-Sustainable Development Goals (SDGs) framework, which effectively integrates resource, economic, environmental factors problem SDGs model's broad designation. influence relationship among indicators was analyzed using network hierarchy analysis (ANP), weights were determined. A genetically improved Ant Colony Optimization (ACO) algorithm establishes integration. ACO overcomes shortcomings algorithm, tendency to fall into local optimum, is easy calculate operate. Taking Chengdu X station project in China an example empirical research, results show that overall level this IV (good), 18 out 33 third-level are Higher Sensitivity indicators. Finally, combining indicator sensitivity, study proposes targeted suggestions three types indicators: Weight–Higher Sensitivity, Weight–Low Low Sensitivity. proposed provide theoretical basis decision-makers carry planning.

Язык: Английский

Enhancing Urban Resilience: Opportunities and Challenges in Adapting to Natural Disasters in Indonesian Cities DOI Open Access
Mirza Fuady,

Buraida Buraida,

M. Andrian Kevin

и другие.

Sustainability, Год журнала: 2025, Номер 17(4), С. 1632 - 1632

Опубликована: Фев. 16, 2025

This study identifies the key challenges and opportunities for enhancing urban resilience in Indonesia, focusing on implementation of green city concepts as a strategic solution to improve sustainability. Case studies Banda Aceh, Jakarta, Surabaya demonstrate potential limitations this approach addressing critical issues such flooding, coastal erosion, heat island effects. A systematic literature review (SLR) policy analysis related were employed, along with an evaluation initiatives implemented several major cities across Indonesia. Findings reveal that inadequate infrastructure, rapid urbanization, limited budgets constitute obstacles adopting sustainable solutions. However, significant exist through collaborative efforts between government, society, private sector. These include application environmentally friendly technologies, development robust early warning systems, adaptive planning strategies. concludes strengthening necessitates cross-sector collaboration, investments resilient increased public awareness involvement mitigating disaster risks climate change.

Язык: Английский

Процитировано

0
Sustainability assessment of station-city integration based on DPSIR-SDGs framework: a case study of Chengdu in China DOI Creative Commons
Zhenhua Luo, Zijing Chen, Xiaoqing Wu

и другие.

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Янв. 9, 2025

The integrated station-city urban space development model based on public transportation-oriented solves problems such as chaotic traffic order and provides new ideas for promoting sustainable development. Evaluating the sustainability of integration at planning stage can solve current development, low efficiency transportation synergy lack coordination organization land This paper constructs a evaluation index system Driving Force-Pressure-State-Impact-Response-Sustainable Development Goals (SDGs) framework, which effectively integrates resource, economic, environmental factors problem SDGs model's broad designation. influence relationship among indicators was analyzed using network hierarchy analysis (ANP), weights were determined. A genetically improved Ant Colony Optimization (ACO) algorithm establishes integration. ACO overcomes shortcomings algorithm, tendency to fall into local optimum, is easy calculate operate. Taking Chengdu X station project in China an example empirical research, results show that overall level this IV (good), 18 out 33 third-level are Higher Sensitivity indicators. Finally, combining indicator sensitivity, study proposes targeted suggestions three types indicators: Weight–Higher Sensitivity, Weight–Low Low Sensitivity. proposed provide theoretical basis decision-makers carry planning.

Язык: Английский

Процитировано

0